Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
1:30 PM - 3:00 PM CST
|
|
Opening Session: Awards and Keynote Presentation - Precisely Practicing Medicine from 700 Trillion Points of Data
There is an urgent need to take what we have learned in our new data-driven era of medicine, and use it to create a new system of precision medicine, delivering the best, safest, cost-effective preventative or therapeutic intervention at the right time, for the right patients. Dr. Butte's teams at the University of California build and?apply tools that convert trillions of points of molecular, clinical, and epidemiological data -- measured by researchers and clinicians over the past decade and now commonly termed “big data” -- into diagnostics, therapeutics, and new insights into disease. Dr. Butte, a computer scientist and pediatrician, will highlight his center’s recent work on integrating and learning from electronic health records data from over 9 million patients across the entire University of California, and how analytics on this “real world data” can lead to new evidence for drug efficacy, new savings from better medication choices, and new methods to teach intelligence – real and artificial – to more precisely practice medicine.
Atul Butte, MD, PhD is the Priscilla Chan and Mark Zuckerberg Distinguished Professor and inaugural Director of the Bakar Computational Health Sciences Institute (bchsi.ucsf.edu) at the University of California, San Francisco (UCSF). Dr. Butte is also the Chief Data Scientist for the entire University of California Health System (health.universityofcalifornia.edu), the eighth largest by revenue in the United States, with 20 health professional schools, 6 medical schools, 6 academic health centers, 10 hospitals, and over 1000 care delivery sites.
Dr. Butte has been continually funded by NIH for 25 years, is an inventor on 24 patents, and has authored over 300 publications, with research repeatedly featured in the New York Times, Wall Street Journal, and Wired Magazine. Dr. Butte has been elected into the American Association for the Advancement of Science (AAAS), American Institute for Medical and Biological Engineering (AIMBE), American College of Medical Informatics (ACMI), and National Academy of Medicine, and in 2013, he was recognized by the Obama Administration as a White House Champion of Change in Open Science for promoting science through publicly available data. Dr. Butte is also a co-founder of three investor-backed data-driven companies: Personalis (IPO, 2019), providing medical genome sequencing services, Carmenta (acquired by Progenity, 2015), discovering diagnostics for pregnancy complications, and NuMedii, finding new uses for drugs through open molecular data. Dr. Butte trained in Computer Science at Brown University, worked as a software engineer at Apple and Microsoft, received his MD at Brown University, trained in Pediatrics and Pediatric Endocrinology at Children's Hospital Boston, then received his PhD from Harvard Medical School and MIT.
Speaker(s):
Speaker:
Atul Butte, MD PhD, UCSF
Plenary Session
Location: Grand Ballroom
Session Code: OS1
|
Location: Grand Ballroom
Session Code: OS1
|
2023111213:3015:00 000
|
SUN, NOV 12
|
141478C8-6147-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Building Pathways to Biomedical Health Informatics Training and Careers: Snapshots of Intersectional AMIA Activities and Initiatives
Biomedical health informatics is positioned to be a power-player in the future of healthcare by transforming care delivery and accelerating knowledge discovery. AMIA, professional home of the informatics community, has a large role to play in supporting the current and next generation of informaticians. This panel will share information from five different perspectives: AMIA Membership and Outreach Committee which provides services/benefits and fosters collaborations; AMIA Student Working Group which connects informatics students to share education experiences and career opportunities; AMIA High School Scholar Program which supports high school students conducting biomedical informatics research to showcase their work at the AMIA Annual Symposium; AMIA First Look Program which introduces undergraduate women in STEM (Science, Technology, Engineering, Mathematics) to the informatics field by supporting attendance at the AMIA Annual Symposium. The panel will include an overarching Diversity, Equity and Inclusion (DEI) perspective as AMIA builds inclusive pathways to informatics education and careers.
Speaker(s):
Speaker:
Kim Unertl, PhD, Vanderbilt University Medical Center
Speaker:
Jenna Marquard, PhD, University of Minnesota
Speaker:
Humayera Islam, MS, University of Missouri-Columbia
Speaker:
Neil Sarkar, PhD, MLIS, ACHIP, FACMI, Rhode Island Quality Institute & Brown University
Speaker:
Sripriya Rajamani, MBBS, PhD, MPH, FAMIA, None
Diversity, Equity, and Inclusion
Education and Training
Educational Collaboration
Panel
Location: Grand Ballroom
Session Code: S01
Session Credits: 1.50
|
Location: Grand Ballroom
Session Code: S01
Session Credits: 1.50
|
2023111215:3017:00 001
|
SUN, NOV 12
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
12DBDCFC-2A98-ED11-80F4-8AF502304007
5FA568D3-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A273A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Data Quality - "Too Good To Be True"
Speaker(s):
Session Chair:
Hanieh Razzaghi, MPH, Children's Hospital of Philadelphia
Oral Presentation
|
Enriching Electronic-Health-Record Cohorts by Identifying Patients with Complete Data
Speaker:
Jeffrey Klann, PhD, Harvard Medical School
Author:
Darren Henderson, BS, University of Kentucky
Author:
Michele Morris, Master of Science, University of Pittsburgh
Author:
Hossein Estiri, PhD, Harvard Medical School
Author:
Griffin Weber, MD, PhD, Harvard Medical School
Author:
Shyam Visweswaran, Doctor of Medicine,Doctor of Philosophy, University of Pittsburgh
Author:
Diane Keogh, ., Harvard Medical School
Author:
Shawn Murphy, MD, Ph.D., Massachusetts General Hospital
|
|
Evaluating data quality of Missouri’s Immunization Information System (IIS) ‘ShowMeVax’
Speaker:
Muhammad Muinul Islam, PHD, University of Missouri, Columbia
Author:
Lemuel Waitman, PHD, University of Missouri
Author:
Eduardo Simoes, Simoese@helath.missouri.edu
Author:
Zachary J. Kempf, MPH
Author:
Md Kamruz Zaman Rana, MS, University of Missouri - Columbia
Author:
Md Saber Hossain, MS
Author:
Md Soliman Islam, MS
Author:
Vasanthi Mandhadi, MS, University of Missouri
Author:
Yaswitha Jampani, MS, University of Missouri - Columbia
Author:
Vyshnavi Paka, vpknx@health.missouri.edu, University of Missouri
Author:
David Walsh, MS
Author:
Tamara McMahon, tamara.mcmahon@umkc.edu, UMKC School of Medicine
Speaker:
Abu Mosa, PhD, MS, FAMIA, University of Missouri School of Medicine
|
|
Toward Systematic Error Analysis for Multi-site EHR Concept Extraction
Speaker:
Sunyang Fu, PhD
Author:
Liwei Wang, M.D., Ph.D, Mayo Clinic
Author:
Huan He, PhD, Mayo Clinic
Author:
Andrew Wen, MS, Mayo Clinic
Author:
Hongfang Liu, PhD, Mayo Clinic
Author:
Jennifer St. Sauver, PhD
Author:
Sunghwan Sohn, Phd, Mayo Clinic
|
|
N3C Scorecards: A Centralized and Systematic Approach to Data Quality
Author:
Sofia Dard, MPS, University of North Carolina At Chapel Hill
Author:
Katie Bradwell, PhD
Author:
Tim Schwab, BS
Author:
James Cavallon
Speaker:
Maya Choudhury
Author:
Hyun Woo Kim
Author:
Bryan Laraway, MS, University of Colorado, Anschutz Medical Campus
Author:
Christophe Roeder, MS
Author:
Emily Pfaff, PhD, UNC Chapel Hill School of Medicine
Author:
Stephanie Hong, BS, FAMIA, Johns Hopkins University School of Medicine
|
Location: Churchill A
Session Code: S65
Session Credits: 1.50
|
Location: Churchill A
Session Code: S65
Session Credits: 1.50
|
2023111410:3012:00 008
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Data Warehousing - "Warehouse"
Speaker(s):
Session Chair:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
Oral Presentation
|
“In conferences, everyone goes ‘health data is the future’ ”: an interview study on challenges in re-using EHR data for research in Clinical Data Warehouses
Speaker:
Sonia Priou, MSc, CentraleSupelec, Paris Saclay University
Author:
Guillaume Lame, PhD, Université Paris-Saclay, CentraleSupélec
Author:
Marija Jankovic, PhD, Université Paris-Saclay, CentraleSupélec
Author:
Emmanuelle Kempf, MD, MSc, Assistance Publique Hôpitaux de Paris - Mondor
|
|
Understanding Enterprise Data Warehouses to Support Clinical and Translational Research: Initial Findings on Impact, Sustainability, Demand Management, and Accessibility
Author:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
Author:
Catherine Craven, PhD, MA, MLS, University of Texas Health Science Center at San Antonio
Author:
David Dorr, MD, MS, Oregon Health & Science University
Author:
Elmer Bernstam, MD, MSE, MS, UTHealth Science Center Houston
Speaker:
Thomas Campion Jr., Ph.D., Weill Cornell Medicine
|
|
Variation in Data Sharing Practices and Privacy Gaps in US Hospitals and Health Systems
Speaker:
Brian Jackson, MD, MS, FAMIA, Hippocratic Capitalism
Author:
Richard Schreiber, MD, FAMIA, Penn State Health Holy Spirit Medical Center
Author:
Ross Koppel, PhD, FACMI, University of Pennsylvania/University at Buffalo
Author:
Victoria Nichols-Johnson, MD, MS, FACOG, FABM, SIU School of Medicine
Author:
Anthony Solomonides, PhD, Research Institute/NorthShore University HealthSystem
Author:
Paul DeMuro, PhD, JD, MBA, Nossaman LLP
Author:
Larry Ozeran, MD, FAMIA, Clinical Informatics, Inc.
Author:
Bonnie Kaplan, PhD, FACMI, Yale Center for Medical Informatics, Yale University
|
|
How Are Leading Research Institutions Engaging with Data Sharing Tools and Programs?
Speaker:
Eric Hall, PhD, Nemours Children's Health
Author:
Genevieve Melton-Meaux, MD, PhD, University of Minnesota
Author:
Philip Payne, PhD, Washington University in St. Louis
Author:
David Dorr, MD, MS, Oregon Health & Science University
Author:
David Vawdrey, PhD, Geisinger
|
|
National Research Participant Perception Database for Evaluation, Benchmarking, and Process Improvement
Speaker:
Alex Cheng, PhD, Vanderbilt University, Dept. of Biomedical Informatics
Author:
Eva Bascompte, BS, Vanderbilt University Medical Center
Author:
Ellis Thomas, BS, Vanderbilt University Medical Center
Author:
Lindsay O'Neal, MS, Vanderbilt University Medical Center
Author:
Natalie Schlesinger, BS, Rockefeller University
Author:
Cameron Coffran, MS, Rockefeller University
Author:
Adam Qureshi, MS, Rockefeller University
Author:
Issis Pumarol, MD, Wake Forest University
Author:
Joseph Andrews, PhD, Wake Forest University
Author:
James Goodrich, BS, Duke University
Author:
Ranee Chatterjee, MD, Duke University
Author:
Carrie Dykes, PhD, University of Rochester
Author:
Ann Dozier, PhD, University of Rochester
Author:
Liz Martinez, RN, Johns Hopkins University
Author:
Daniel Ford, MD, Johns Hopkins University
Author:
Paul Harris, PhD, Vanderbilt University
Author:
Rhonda Kost, MD, Rockefeller University
|
Location: Churchill A
Session Code: S84
Session Credits: 1.50
|
Location: Churchill A
Session Code: S84
Session Credits: 1.50
|
2023111415:3017:00 007
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Data Sources & Analytics Methods - "Come Together"
Speaker(s):
Session Chair:
Daniel Fort, PhD, MPH, OchsnerHealth
Oral Presentation
|
POINT: Pipeline for Offline Conversion and Integration of Geocodes and Neighborhood Datasets
Speaker:
Kevin Guo, ScB, Vanderbilt University School of Medicine
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Author:
S. Trent Rosenbloom, MD, MPH, Vanderbilt University Medical Center Dept of Biomedical Informatics
Author:
Siru Liu, PhD, Vanderbilt University Medical Center
Author:
Elise Russo, MPH, Vanderbilt University Medical Center
Author:
Bryan Steitz, PhD, Vanderbilt University Medical Center
|
|
An Automated Strategy to Calculate Medication Regimen Complexity
Speaker:
Yuzhi Lu, Master, Johns Hopkins University
Author:
Casey Taylor, PhD, Johns Hopkins University
Author:
Ariel R. Green, MD, PhD, MPH, Johns Hopkins University
Author:
Rosalphie Quiles, PhD, John Hopkins University
|
|
Choice Architecture in Opioid Safety Alerting
Speaker:
James Hellewell, MD, MS, Intermountain Health
Author:
Kevin Lindsay, BSN, Intermountain Health
Author:
Kellyann Nielsen, CPhT, BSBA, Intermountain Health
Author:
Erick Christensen, MD, MPH, Intermountain Health
Author:
Lynsie Daley, MS, Intermountain Health
Author:
Kristy Jones, MPH, Intermountain Health
Author:
Kim Compagni, RPh, MBA, Intermountain Health
|
Location: Churchill A
Session Code: S93
Session Credits: 1.25
|
Location: Churchill A
Session Code: S93
Session Credits: 1.25
|
2023111508:0009:15 005
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Applications of Informatics in Health Equity - "All the Things You Are"
Speaker(s):
Session Chair:
Karmen Williams, City University of New York
Oral Presentation
|
Real-world Application of Racial and Ethnic Imputation and Cohort Balancing Techniques to Deliver Equitable Clinical Trial Recruitment
Speaker:
Kelly Craig, PhD, CVS Health
Author:
Yanrong Ji, PhD, CVS Health
Author:
Yuxin Zhang, MS, CVS Health
Author:
Alexandra Berk, PhD, CVS Health
Author:
Amanda Zaleski, PhD, MS, Aetna
Author:
Omar Abdelsamad, MBA, CVS Health
Author:
Henriette Coetzer, MD, CVS Health
Author:
Dorothea Verbrugge, MD, CVS Health
Author:
Guangying Hua, PhD, CVS Health
|
|
Fairness Evaluation of Machine Learning Models Using Propensity Score Matching: Assessing Racial Bias in Mortality Prediction for Chronic Diseases
Speaker:
Yifei Wang, Ph.D. student, Brandeis University
Author:
Liqin Wang, Ph.D., Brigham and Women's Hospital
Author:
Zhengyang Zhou, Ph.D. student, Brandeis University
Author:
John Laurentiev, MS, Brigham and Women’s Hospital
Author:
Lakin Joshua R., MD, Dana-Farber Cancer Institute
Author:
Li Zhou, MD, Ph.D., Brigham and Women’s Hospital
Author:
Pengyu Hong, Ph.D, Brandeis University
|
|
Fairness Analysis in the Prediction of Hospitalization or Emergency Department Visits for Home Healthcare Patients with Heart Failure
Author:
Anahita Davoudi, PhD, VNS Health
Author:
Sena Chae, PhD., RN, University of Iowa
Author:
Lauren Evans, DrPH, Center for Home Care Policy & Research, VNS Health
Author:
Sridevi Sridharan, VNSNY
Author:
Yolanda Barrón, MS
Author:
Jiyoun Song, PhD, AGACNP-BC, RN, University of Pennsylvania School of Nursing
Author:
Mollie Hobensack, MPhil, BSN, RN, Icahn School of Medicine at Mount Sinai
Author:
Kathy Bowles, PhD, RN, University of Pennsylvania
Author:
Margaret McDonald, MSW, Center for Home Care Policy & Research, VNS Health
Author:
Se Hee Min, PhD, RN, Columbia University School of Nursing
Author:
Sungho Oh, PhD, RN, University of Pennsylvania School of Nursing
Author:
Danielle Scharp, MSN, RN, Columbia University
Speaker:
Maxim Topaz, PhD, RN, Columbia University School of Nursing
|
|
Assessing Potential Racial Disparities Using EHR and Claims Data Across Common Type 2 Diabetes Phenotype Definitions
Speaker:
Priyanka Sood, BS, MPH, Johns Hopkins University Bloomberg School of Public Health
Author:
Star Liu, BS, Johns Hopkins School of Medicine - Biomedical Informatics and Data Science
Author:
Hadi Kharrazi, MD, PhD, FAMIA, FACMI, Johns Hopkins University
|
Location: Churchill A
Session Code: S14
Session Credits: 1.50
|
Location: Churchill A
Session Code: S14
Session Credits: 1.50
|
2023111308:3010:00 006
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Automating Clinical Workflows to Support Clinicians: A Multidisciplinary Lens
This panel discussion will delve into the potential of automation to support clinicians in clinical workflows, while also examining the unique challenges it presents. Informatics experts from varied backgrounds and perspectives will provide insights into automation progress in different healthcare contexts, and evaluate key considerations, such as the concept of agency and distributed cognition between humans and technology. The panel will discuss when automation may be appropriate, how to ensure its robustness in complex sociotechnical systems, and how to measure its impact effectively. Furthermore, the discussion will evaluate potential risks associated with automation, and explore ways to ensure equitable deployment. The intended audience for this panel includes healthcare professionals, researchers, policymakers, and vendors.
Speaker(s):
Speaker:
Sameh Saleh, MD, Inova Health System
Speaker:
Jackie Gerhart, Epic Systems Corporation
Speaker:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Speaker:
Kenneth Goodman, PhD, FACMI, FACE, University of Miami Miller School of Medicine
Speaker:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Clinical Decision Support
Human-computer Interaction
Workflow
Panel
Location: Churchill A
Session Code: S100
Session Credits: 1.25
|
Location: Churchill A
Session Code: S100
Session Credits: 1.25
|
2023111509:4511:00 001
|
WED, NOV 15
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
18DBDCFC-2A98-ED11-80F4-8AF502304007
50DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Fostering Inclusive and Equitable Health Care and Public Health: Addressing Stigma and Discrimination with Informatics
Stigma and discrimination within health care and public health institutions continue to deny people access to fair, culturally safe, and affirming care. Health and biomedical informatics can aid in understanding, detecting, and reducing stigma and discrimination in health care and public health. Panelists will draw from studies with multiple marginalized populations (e.g. African Americans, LGBTQ+, patients with stigmatized illnesses) and digital tools (e.g. Twitter, patient portals, electronic health records, electronic wearable devices, sensing technology). We will discuss how stigma and discrimination can negatively impact the adoption and use of digital health technologies, be enacted through the collection, use and analysis of health-related data, and be detected through emerging informatics methods (e.g. natural language processing and machine learning) and socio-technical strategies. Critically, we will discuss how health informatics can be part of addressing stigma and discrimination at individual, cultural, and institutional levels to promote fair, culturally safe and affirming care.
Speaker(s):
Speaker:
Marcy Antonio, MPH, PhD, University of Michigan, School of Information, Ann Arbor
Speaker:
Byron Lowens, PhD, University of Michigan, School of Information
Speaker:
Ashley Beals, MHI, University of Michigan, School of Information
Speaker:
Andrea Hartzler, PhD, University of Washington
Speaker:
Li Zhou, MD, Ph.D., Brigham and Women’s Hospital
Author:
Tiffany Veinot, MLS, PhD, University of Michigan
Diversity, Equity, and Inclusion
Ethical, Legal, Regulatory, and Social Issues
Informatics Implementation
Panel
Location: Churchill A
Session Code: S70
Session Credits: 1.50
|
Location: Churchill A
Session Code: S70
Session Credits: 1.50
|
2023111413:4515:15 004
|
TUE, NOV 14
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Health Data Privacy Risks in a Post-Dobbs Era for Patients and Clinicians - Is Data Segmentation a Plausible Strategy to Mitigate Risk?
The US Supreme Court’s decision to strike down the rights of women to have an abortion also struck down the rights of clinicians to make reproductive healthcare decisions without state involvement. Privacy protection is a concern for patients with birthing capacity, healthcare providers, and institutions. Electronic health information (EHI) associated with perceived abortion-related care may be legal evidence incriminating clinicians. Fear of legal repercussions may impact medical care and lead to unequal access due to privacy concerns. There are multiple sources of privacy risks and multiple strategies to mitigate these risks, including data segmentation which is currently used to protect sensitive EHI and to prevent unintended disclosures of adolescents’ sensitive data in the portal. However, there are multiple challenges and risks to the use of data segmentation. It is important for the informatics community to discuss how sensitive EHI is protected within a healthcare organization and during health information exchange.
Speaker(s):
Speaker:
Marianne Sharko, MD, MS, Weill Cornell Medical College Health Policy and Research
Speaker:
Chethan Sarabu, MD, FAMIA, FAAP, Stanford Medicine
Speaker:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Speaker:
Bradley Malin, PhD, Vanderbilt University Medical Center
Speaker:
Fabienne Bourgeois, MD, MPH, Boston Children's Hospital
Ethical, Legal, Regulatory, and Social Issues
Interoperability and Health Information Exchange
Privacy and Security
Panel
Location: Churchill A
Session Code: S02
Session Credits: 1.50
|
Location: Churchill A
Session Code: S02
Session Credits: 1.50
|
2023111215:3017:00 001
|
SUN, NOV 12
|
14DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
31DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
9473A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 4:30 PM CST
|
|
OHDSI RWE Revolution: Igniting Data Modernization with Harmonized Standards for Cutting-Edge Health Research
In response to the 21st Century Cures Act and the growing importance of Real-world evidence (RWE), the FDA has released guidance on RWE data for regulatory decision-making. Despite RWE's potential to improve clinical studies, challenges remain in rapidly utilizing RWE for decision-making due to the volume and diversity of real-world data, further emphasized by the COVID-19 pandemic. The Observational Health Data Science and Informatics (OHDSI) developed the Observational Medical Outcomes Partnership (OMOP) to address these challenges and ensure the quality of RWE. OMOP focuses on the development of a common data model and standardized analytics to facilitate meaningful comparisons across different RWE data sources and research studies. Building on the need to better understand RWE and OMOP, the workshop gathers leading experts from various fields to discuss three major themes: (1) understanding the origin and barriers of real-world data for healthcare research and the role that OHDSI/OMOP has played in improving the use of RWE for healthcare research; (2) showcasing the potential of RWE analysis across multiple data types with OMOP CDM; and (3) discussing the challenges and opportunities to adopt RWE for secondary use in research and development. Participants will engage with in-depth topics such as data transformation, cohort definitions, diagnostic methods, visualization techniques, and practical applications of cohort diagnostics in real-world scenarios. This event aligns closely with the broader informatics interests of the attendees. It aims to enhance their understanding of the synergies and opportunities at the intersection of OHDSI, OMOP CDM, and healthcare.
Speaker(s):
Speaker:
Atif Adam, PhD, MD, MPH, Johns Hopkins Bloomberg School of Public Health
Speaker:
Mui Van Zandt, MS, IQVIA
Speaker:
Paul Nagy
Speaker:
Mengling Feng, PhD, National University of Singapore
Speaker:
Christian Reich, PhD, MD, OHDSI
Speaker:
Zhen Lin, PhD, Memorial Herman Texas Medical Center
Real-World Evidence Generation
Data standards
Educational Collaboration
Workshop - Collaborative
Location: Churchill A
Session Code: W02
Session Credits: 6.00
|
Location: Churchill A
Session Code: W02
Session Credits: 6.00
|
2023111108:3016:30 061
|
SAT, NOV 11
|
36DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
5FA568D3-7E9E-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
Optimizing Referrals to the Supplemental Nutrition Assistance Program (SNAP) Through a Clinically Integrated, Interoperable, Standards-Based, and Scalable Social Services Referral Management System
Supporting patients to receive adequate social services such as food, housing, transportation, commonly known as Social Determinants of Health (SDOH), requires coordination between health and social services providers, and patients. Through a national consensus building collaboration the HL7 Gravity Project has defined standard data terminologies to support the coordinated delivery of SDOH services using electronic systems. Funded by the Office of the National Coordinator for Health IT (ONC) through its Leading Edge Acceleration Projects (LEAP), the Dell Medical School at the University of Texas at Austin partnered with healthcare providers and the Central Texas Food Bank to implement a standards-based, interoperable, workflow-integrated, and scalable decision support system that optimizes the referral for Supplemental Nutrition Assistance Program (SNAP) applications and efficiently closes the loop of those referrals. This panel will describe the results of this first pilot of Gravity Project’s HL7 SDOH Implementation Guide.
Speaker(s):
Speaker:
Eliel Oliveira, MS, MBA, Dell Medical School at The University of Texas at Austin
Speaker:
JaWanna Henry, MPH, MCHES, HHS/ONC
Speaker:
Evelyn Gallego, MBA, MPH, EMI Advisors LLC
Speaker:
Anjum Khurshid, MD, PHD, Harvard Pilgrim Health Care Institute
Speaker:
Bella Kirchner
Diversity, Equity, and Inclusion
Population Health
Data standards
Panel
Location: Churchill A
Session Code: S20
Session Credits: 1.50
|
Location: Churchill A
Session Code: S20
Session Credits: 1.50
|
2023111310:3012:00 003
|
MON, NOV 13
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
2EDBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
The State and Future of Digital Mental Health Solutions: A Collaborative Workshop
The utilization of digital health solutions in mental health is not without its challenges. In this three-hour collaborative workshop, we will increase the audience’s understanding of the challenges in designing digital health solutions by conducting a robust discussion on best practices in designing and developing digital mental health solutions. In addition, we will use two case studies to illustrate the research and evaluation challenges of digital mental health research. Researchers and practitioners will provide interdisciplinary perspectives on the ethical, research, evaluation, and social challenges and considerations when designing digital health solutions for people with mental health concerns. An interdisciplinary panel representing researchers and user experience and interface (UIX) designers and developers will present the best practices for creating and implementing digital health solutions for those with mental health concerns. Our panel will cover best practices for bringing users into the design process (co-design and participatory research); identifying and addressing user needs (user research, design strategy, and user stories); and creating intuitive mobile or software user interfaces (UIX design).
Speaker(s):
Speaker:
Scott Sittig, PhD, MHI, RHIA, University of Louisiana at Lafayette
Speaker:
Corey Smith, PhD, MHS, MA, University of North Dakota
Speaker:
Alicia Williamson, BA, School of Information, University of Michigan
Speaker:
Velma Payne, PhD, MS, MBA, MS, ISU
Speaker:
Katherine Kim, PhD, MPH, MBA, FAMIA, MITRE Corporation
Speaker:
Jessica Saw, MD, PhD, University of Illinois Urbana-Champaign
Speaker:
Yong Choi, PhD, University of Pittsburgh
Informatics Implementation
Participatory Approach/Science
Mobile Health
Workshop - Collaborative
Location: Churchill A
Session Code: W27
Session Credits: 3.00
|
Location: Churchill A
Session Code: W27
Session Credits: 3.00
|
2023111208:3012:00 086
|
SUN, NOV 12
|
1ADBDCFC-2A98-ED11-80F4-8AF502304007
26DBDCFC-2A98-ED11-80F4-8AF502304007
22DBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9173A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Location: Churchill A
Session Code: S35
Session Credits: 1.50
|
Location: Churchill A
Session Code: S35
Session Credits: 1.50
|
2023111313:4515:15 009
|
MON, NOV 13
|
E5DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Suicide and Death - "All My Life"
Speaker(s):
Session Chair:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
Oral Presentation
|
Improving a Clinically Operational Suicide Risk Prediction Model with Natural Language Processing and Machine Learning
Speaker:
Kevin Krause
Author:
Zhijun Yin, PhD, Vanderbilt University Medical Center
Author:
Sharon Davis, PhD, Vanderbilt University Medical Center
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
|
|
Characterizing Autism Spectrum Disorder and Predicting Suicide Risk for Pediatric Psychiatric Emergency Services Encounters
Speaker:
Katherine Brown, MSN, RN, Brown University
Author:
Elizabeth Chen, PhD, Brown University
Author:
Kathleen Donise, MD, Brown University
Author:
Mary Kathryn Cancilliere, PhD, Brown University
Author:
Dilum Aluthge, BS, Brown University
|
|
Innovative Analysis of Social Determinants to Enhance Suicide Prevention for Black Youth
Author:
ZHAOYI SUN, MS, Weill Cornell Medicine
Author:
SONG WANG, MS, The University of Texas at Austin
Author:
Ying Ding, PhD, The University of Texas at Austin
Author:
Yongkang Zhang, PhD, Weill Cornell Medical College Health Policy and Research
Author:
Jyotishman Pathak, PhD, Weill Cornell Medical College, Cornell University
Author:
Yifan Peng
Speaker:
Yunyu Xiao, PhD, Weill Cornell Medicine, Population Health Sciences
|
Location: Churchill A
Session Code: S45
Session Credits: 1.50
|
Location: Churchill A
Session Code: S45
Session Credits: 1.50
|
2023111315:3017:00 008
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Applications of Social Media in Informatics - "Confessions"
Speaker(s):
Session Chair:
Graciela Gonzalez Hernandez
Oral Presentation
|
Perspectives on Privacy in the Post-Roe Era: A Mixed-Methods of Machine Learning and Qualitative Analyses of Tweets
Speaker:
Yawen Guo, PhD student, University of California - Irvine
Author:
Rachael Zehrung, MS, University of California, Irvine
Author:
Katherine Genuario, BS, UC Irvine
Author:
Xuan Lu
Author:
Qiaozhu Mei, PhD
Author:
Yunan Chen, PhD, University of California, Irvine
Author:
Kai Zheng, PhD
|
Location: Churchill A
Session Code: S54
Session Credits: 1.50
|
Location: Churchill A
Session Code: S54
Session Credits: 1.50
|
2023111408:3010:00 006
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Churchill B2
Session Code: WG8
|
Location: Churchill B2
Session Code: WG8
|
2023111217:3019:00 000
|
SUN, NOV 12
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:30 PM - 1:30 PM CST
|
|
Location: Churchill B2
Session Code: WG9
|
Location: Churchill B2
Session Code: WG9
|
2023111312:3013:30 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Churchill B2
|
Location: Churchill B2
|
2023111317:3019:00 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:30 PM - 1:30 PM CST
|
|
Location: Churchill B2
Session Code: WG17
|
Location: Churchill B2
Session Code: WG17
|
2023111412:3013:30 000
|
TUE, NOV 14
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Phenotyping - "The Way You Look Tonight"
Speaker(s):
Session Chair:
Rachel Richesson, PhD, MS, MPH, University of Michigan Medical School
Oral Presentation
|
Developing and Evaluating Pediatric Phecodes for High-Throughput Phenotyping of Pediatric Patients
Speaker:
Monika Grabowska, BS, Vanderbilt University
Author:
Prince Kannankeril, MD, MSCI, Vanderbilt University Medical Center
Author:
Sara Van Driest, MD, PhD, National Institutes of Health
Author:
Wei-Qi Wei, MD, PhD, Vanderbilt University Medical Center
|
|
Investigating COVID-19 outcomes for rare disease patients using semantic similarity and computational phenotyping
Speaker:
Bryan Laraway, MS, University of Colorado, Anschutz Medical Campus
Author:
Justin Reese, PhD
Author:
Katherina Cortes
Author:
Andrew Williams, PhD
Author:
Julie McMurry, MPH
Author:
Tiffany Callahan, PhD, Columbia University Irving Medical Center
Author:
Peter Robinson, MD, MS
Author:
Melissa Haendel, PhD, FACMI, University of Colorado Anschutz Medical Campus
|
|
Dysmenorrhea Phenotyping via Prompt-based Learning
Speaker:
Eugenia Alessandra Enrica Alleva Bonomi, MD, MSc, Ichan School of Medicine at Mount Sinai
Author:
Erwin Bottinger, MD, Hasso Plattner Institute at Mount Sinai, Ichan School of Medicine at Mount Sinai
Author:
Leslee Shaw, PhD, FACC, MASNC, FAHA, FSCCT, Blavatnik Family Women's Health Research Institute, Icahn School of Medicine at Mount Sinai
Author:
Jovita Rodrigues, MS, CCRC, Hasso Plattner Institute at Mount Sinai, Ichan School of Medicine at Mount Sinai
Author:
Ipek Ensari, PhD, Hasso Plattner Institute at Mount Sinai, Ichan School of Medicine at Mount Sinai
|
|
Strategies for Overcoming Obstacles in Developing Data-driven Pressure Injuries Staging Phenotypes
Speaker:
Luwei Liu, MBI
Author:
Luwei Liu, MBI
Author:
Wenyu Song, PHD, Brigham and Women's Hospital, Harvard Medical School
Author:
Michael Sainlaire, MS, Brigham and Women's Health
Author:
Sandy Cho, MPH, RN
Author:
Debra Furlong, MS, RN -BC
Author:
Wadia Gilles-Fowler, BSN, RN, CWOCN
Author:
Lisa Herlihy, MSN, RN
Author:
Min Jeoung Kang, PhD, RN, Brigham and Women's Hospital/ Harvard Medical School
Author:
Tanya Martel, DNP, FNP-BC. CWOCN
Author:
Jacqueline Massaro, MSN, RN, ACNS-BC, CWOCN
Author:
Beth Melanson, MS, RN, ACNS-BC, CWOCN, CCRN
Author:
Paula Wolski, MSN, RN-BC, Brigham and Womens Faulkner Hospital
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
Author:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
|
Location: Churchill B2
Session Code: S71
Session Credits: 1.50
|
Location: Churchill B2
Session Code: S71
Session Credits: 1.50
|
2023111413:4515:15 005
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Clinical Trials & Patient Eligibility - "Put It to the Test"
Speaker(s):
Session Chair:
Chunhua Weng, Ph.D, Columbia University
Oral Presentation
|
Sequential regression and simulation (SRS): a method for estimating causal effects from heterogeneous clinical trials without a common control group
Speaker:
Vivek Rudrapatna, MD PhD, UCSF
Author:
Vignesh Ravindranath, MSE, UCSF
Author:
Douglas Arneson
Author:
Arman Mosenia, MD, University of Texas, Austin
Author:
Atul Butte, MD PhD, UCSF
Author:
Shan Wang, PhD, USF
|
|
Towards Fair Patient-Trial Matching via Patient-Criterion Level Fairness Constraint
Speaker:
Chia-Yuan Chang, None, Texas A&M University
Author:
Jiayi Yuan, Student, Rice University
Author:
Sirui Ding, Ph.D. student, Texas A&M University
Author:
Qiaoyu Tan, Ph.D., Texas A&M University
Author:
Kai Zhang, PhD, University of Texas Health Science Center at Houston
Author:
Xiaoqian Jiang, University of Texas Health Science Center at Houston, University of Texas Health Science Center at Houston
Author:
Xia Hu, Ph.D, Rice University
Author:
Na Zou, Ph.D., Texas A&M University
|
|
Digital Solutions Observed in Clinical Trials: A Formative Feasibility Scoping Review
Speaker:
Taylor Harrison, M.B.A., Mayo Clinic
Author:
Sungrim Moon, PhD, Mayo Clinic
Author:
Liwei Wang, M.D., Ph.D, Mayo Clinic
Author:
Sunyang Fu, PhD
Author:
Hongfang Liu, PhD, Mayo Clinic
|
Location: Churchill B2
Session Code: S83
Session Credits: 1.50
|
Location: Churchill B2
Session Code: S83
Session Credits: 1.50
|
2023111415:3017:00 006
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
LIEAF01
Speaker(s):
Session Chair:
Megha M Moncy, BDS, Indiana University Purdue University, Indianapolis
LIEAF Session
|
LIEAF5013: Teaching the Policymakers: A Health Informatics Course for Ministry of Health Employees in the Republic of Armenia
Speaker:
Ruzanna Movsesyan, MS, MBA, Ministry of Health, Republic of Armenia
Author:
Tsaghkanush Sargsyan, National Institute of Health, Republic of Armenia
Author:
Gohar Yerimyan, MD, National Institute of Health, Republic of Armenia
Author:
Armine Lulejian, EdD, MPH, CHES, USC, Keck School of Medicine
|
Location: Churchill B2
Session Code: LIEAF01
|
Location: Churchill B2
Session Code: LIEAF01
|
2023111308:3010:00 010
|
MON, NOV 13
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
LIEAF03
Speaker(s):
Session Chair:
Aziz Ahmed
LIEAF Session
|
LIEAF5021: Big Data Education for Clinical Documentation
Speaker:
Melinda Jenkins, PhD, FNP, Rutgers University School of Nursing
Author:
Judith Katz, Emory University Nell Woodruff Hodgson School of Nursing
Author:
Courtney Omary, DNP, MSN, RN-BC, Emory University Nell Woodruff Hodgson School of Nursing
Author:
Suzan Ahmad, PhD, RN, Rutgers University School of Nursing
Author:
Ramya Govindarajan, MSPH, Emory School of Nursing
Author:
Roy Simpson, DNP, RN, DPNAP, FAAN, FACMI, Emory University
|
|
LIEAF5026: A Hands-on, Practical Experience for a Clinical Informatics Medical Student Rotation
Speaker:
David Schneider, MD, MS, FACS, FAMIA, University of Wisconsin
Author:
Heidi Twedt, MD, University of Wisconsin School of Medicine and Public Health
Author:
Brian Patterson, MD, University of Wisconsin
|
Location: Churchill B2
Session Code: LIEAF03
|
Location: Churchill B2
Session Code: LIEAF03
|
2023111310:3012:00 010
|
MON, NOV 13
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
LIEAF05
Speaker(s):
Session Chair:
Akanksha Singh, School of Health Professions, University of Alabama at Birmingham
LIEAF Session
|
LIEAF5015: Clinical Informatics Education in Low- and Middle-Income Countries (LMICs): A Scoping Review
Speaker:
Lynn Kysh, MLIS, MPP, Children's Hospital Los Angeles
Author:
Tamara Galoyan, PhD, Drexel University
Author:
James Dickhoner, Children's Hospital Los Angeles
Author:
Payal Lariya, University of Southern California
Author:
Margarita Margaryan, University of Southern California
Author:
Armine Lulejian, EdD, MPH, CHES, USC, Keck School of Medicine
|
Location: Churchill B2
Session Code: LIEAF05
|
Location: Churchill B2
Session Code: LIEAF05
|
2023111408:3010:00 010
|
TUE, NOV 14
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
LIEAF07
Speaker(s):
Session Chair:
Benjamin Martin, Clemson University
LIEAF Session
|
LIEAF5035: Bridging Training Gaps through Voice: An Ethics-based Approach to Teaching Trustworthy AI
Speaker:
Andrea Krussel, MA, Washington University in St. Louis
Author:
Philip Payne, PhD, Washington University in St. Louis
Author:
Steven Bedrick, PhD, Oregon Health & Science University
Author:
David Dorr, MD, MS, Oregon Health & Science University
Author:
William Hersh, MD, OHSU
|
Location: Churchill B2
Session Code: LIEAF07
|
Location: Churchill B2
Session Code: LIEAF07
|
2023111410:3012:00 011
|
TUE, NOV 14
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Natural Language Processing - "Language City"
Speaker(s):
Session Chair:
Max Topaz, PhD, RN, MA, FAAN, Columbia University School of Nursing
Oral Presentation
|
MedMorph Implementation Guidance: Navigating the Standards Stack
Speaker:
Nathan Botts, PhD, MSIS, Westat
Author:
Eric Pan, MD, Westat
Author:
Maria Michaels, MBA, PMP, Centers for Disease Control and Prevention
Author:
Mary Nix, MS, AHRQ
|
|
Can Natural Language Processing Support Cultural Adaptation of Digital Health Interventions? A Scoping Review
Speaker:
Amandalynne Paullada, PhD, University of Washington
Author:
Serena Jinchen Xie, MS, Biomedical Informatics and Medical Education, University of Washington
Author:
Yinzhou Wang
Author:
Diana Louden
Author:
Weichao Yuwen, Ph.D., RN
Author:
Trevor Cohen, MBChB, PhD, Biomedical Informatics and Medical Education, University of Washington
|
Location: Churchill B2
Session Code: S101
Session Credits: 1.25
|
Location: Churchill B2
Session Code: S101
Session Credits: 1.25
|
2023111509:4511:00 002
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
Advancing health equity in the US and beyond: developing a framework for mutually beneficial informatics collaborations
SOLD OUT
Global health informatics (GHI) is a branch of biomedical informatics that utilizes e-Health practices to provide healthcare resources, services, and information to underserved populations to promote clinical and public health outcomes in low- and middle-income countries. Developing interventions with community buy-in and local ownership is critical to ensuring successful GHI projects. Building strong community relationships along the GHI pipeline is vital and should be incorporated into protocols and implementation efforts from a study’s inception. This workshop aims to identify key components of developing community-based, sustainable global health informatics partnerships and interventions using a health equity lens. We will articulate challenges to stakeholder participation, factors that impact community engagement and sustainability, and closing the publication gap in the GHI field and researchers from LMICs. In our workshop, a diverse panel will discuss specific data driven GHI projects. Experts will share knowledge into the underlying principles that facilitated success or led to failures. Workshop participants will act on this knowledge to identify feasible and appropriate applications of these principles to their own GHI initiatives. The principles discussed in this workshop should be generalizable both to international GHI projects, as well as domestic informatics interventions that work with vulnerable populations and to address health disparities.
Speaker(s):
Speaker:
Elizabeth Campbell, MS, MSPH, PhD, Columbia University Department of Biomedical Informatics
Speaker:
Hamish Fraser, MBCHB MSc, Brown University
Speaker:
Oliver Bear Don't Walk IV, PhD, University of Washington
Speaker:
Kavishwar Wagholikar, MBBS, PhD, Harvard Medical School
Speaker:
Judy Gichoya, MD, Emory University
Speaker:
Steven Macharia, MS, IntelliSOFT Consulting Limited
Speaker:
Sansanee Craig, MD, Children's Hospital of Philadelphia
Global Health
Informatics Implementation
Population Health
Workshop - Instructional
Location: Churchill B2
Session Code: W30
Session Credits: 3.00
|
Location: Churchill B2
Session Code: W30
Session Credits: 3.00
|
2023111208:3012:00 089
|
SUN, NOV 12
|
16DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
2EDBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9673A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Beyond Desiderata; an integrated US healthcare ontology for semantic interoperation
With developments in the SNOMED CT concept model, the recent announcement of the LOINC-SNOMED extension1,2 and work at the NLM to prepare an RxNorm OWL dataset, semantic integration in support of interoperation between the US national healthcare vocabularies of SNOMED CT–LOINC-RxNorm is becoming a reality. This three hour instructional workshop for the advanced participant will explain the shared concept model that integrates the systems and interactively explore with participants use cases in healthcare data interoperation that employs the integrated ontologies in support of decision analytics and population health.
Speaker(s):
Speaker:
James Campbell, MD FACMI, University of Nebraska Medical Center
Speaker:
Stanley Huff, MD, Graphite Health
Speaker:
Olivier Bodenreider, MD PhD, National Library of Medicine
Speaker:
Robert Wynne, NIH
Controlled Terminologies, Ontologies, and Vocabularies
Interoperability and Health Information Exchange
Data standards
Workshop - Instructional
Location: Churchill B2
Session Code: W05
Session Credits: 1.50
|
Location: Churchill B2
Session Code: W05
Session Credits: 1.50
|
2023111108:3012:00 064
|
SAT, NOV 11
|
01DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Developing a Curriculum for Registry Science: the Top Ten Topics You’ll Need to Survive in the Trenches
The importance of Registry Science is increasing for clinicians, researchers, and patients as they seek to collect and prepare complex data types for research and analysis. Next-generation multimodal registries are necessary to collect high-quality longitudinal data across multiple domains, including genomics, transcriptomics, and patient-reported outcomes, to understand diseases and their natural progression. However, as the number of data types increases, the complexity of creating and maintaining these systems also grows. One perspective and manager are no longer sufficient to ensure long-term success. This panel will discuss the challenges of creating and sustaining next-generation registries, including insights from informatics leaders who have successfully built and managed such systems.
Speaker(s):
Speaker:
Steven Labkoff, MD, FACP, FACMI, FAMIA, Quantori
Speaker:
Leon Rozenblit, JD, PhD, The Q.E.D. Institute
Speaker:
Rachel Richesson, PhD, MS, MPH, University of Michigan Medical School
Speaker:
James Tcheng, MD, Duke University
Real-World Evidence Generation
Data standards
Information Extraction
Panel
Location: Churchill B2
Session Code: S90
Session Credits: 1.25
|
Location: Churchill B2
Session Code: S90
Session Credits: 1.25
|
2023111508:0009:15 002
|
WED, NOV 15
|
36DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
61A568D3-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
The CEDAR Workbench: Semantic Technology to Ensure FAIR Data
Open Science requires that research data be Findable, Accessible, Interoperable, and Reusable (FAIR). Although the FAIR Guiding Principles provide a framework for making datasets broadly useful to the scientific community, most investigators either disregard the expectations for FAIR data or they blithely claim that their datasets are already FAIR, simply because the data are archived online. The CEDAR Workbench provides a Web-based approach that simplifies the use of reporting guidelines and ontologies to create the standards-adherent metadata that are essential for data to be FAIR. This panel discussion will introduce CEDAR, and it will describe several large-scale projects where the technology has been deployed in different ways. Representatives of consortia studying topics as diverse as opioid addiction in the United States, COVID-19 in Africa, and the creation of reusable knowledge objects will reflect on their successes and challenges in using CEDAR to achieve the goal of data “FAIRness.”
Speaker(s):
Moderator:
Mark Musen, M.D., Ph.D., Stanford University
Speaker:
Anthony Juehne, National Institutes of Health
Speaker:
Mirjam van Reisen, University of Leiden
Speaker:
Erik Schultes, GO FAIR Foundation / Leiden University
Speaker:
Rachel Richesson, PhD, MS, MPH, University of Michigan Medical School
Data Sharing
Controlled Terminologies, Ontologies, and Vocabularies
Data standards
Panel
Location: Churchill B2
Session Code: S03
Session Credits: 1.50
|
Location: Churchill B2
Session Code: S03
Session Credits: 1.50
|
2023111215:3017:00 001
|
SUN, NOV 12
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
01DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
The Informatics of Multimorbidity Research
The prevalence of multiple chronic conditions, called multimorbidities, is a growing problem in healthcare leading to increased costs, unpredictable outcomes, and decreased quality of life for patients. Confounding these challenges is the lack of knowledge on optimal methods to treat patients suffering from multimorbidities and a lack of understanding of the impact they have. This panel describes four informatics based approaches to addressing multimorbidities including modeling patient cost, computable phenotypes for multimorbidity, informatics infrastructure for multimorbidity research at a single institution, and informatics-driven systems to support self-management of symptoms in patients with multimorbidities.
Speaker(s):
Speaker:
Charisse Madlock-Brown, PhD, University of Tennessee Health Science Center
Speaker:
Stephanie Gilbertson-White, PhD, APRN-BC, University of Iowa
Speaker:
Heath Davis, MS, FAMIA, University of Iowa, Carver College of Medicine
Speaker:
Carol Geary, PhD, MBA, RN, UNMC
Speaker:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
Chronic Care Management
Data Mining
Nursing
Panel
Location: Churchill B2
Session Code: S28
Session Credits: 1.50
|
Location: Churchill B2
Session Code: S28
Session Credits: 1.50
|
2023111313:4515:15 002
|
MON, NOV 13
|
FBDADCFC-2A98-ED11-80F4-8AF502304007
02DBDCFC-2A98-ED11-80F4-8AF502304007
55DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Informatics Maturity Working Group: Understanding and Applying Maturity in Biomedical Informatics
Using maturity models across a community of institutions has been shown to be an effective method for guiding planning and development of a range of IT and data driven processes in health care[MAT]. For the past several years the CTSA consortium has promoted maturity models as tools to track and develop informatics resources that accelerate translational science through a project sponsored by the Center for Data to Health. This workshop is an extension of this work to develop maturity models and examine issues in implementation. The workshop will provide an introduction to maturity model concepts and present the Clinical Trial Management Ecosystems (CTME) Maturity Model currently under development by a CTSA working group and the Research Data Governance Maturity model currently being drafted by the AMIA Informatics Maturity Workgroup.
Speaker(s):
Speaker:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
Speaker:
Adam Wilcox, PhD, Washington University in St. Louis
Speaker:
Jodyn Platt, MPH, PhD, University of Michigan Medical School
Speaker:
William Barnett, PhD, Harvard Medical School
Speaker:
Anthony Solomonides, PhD, Research Institute/NorthShore University HealthSystem
Speaker:
David Dorr, MD, MS, Oregon Health & Science University
Author:
Nicholas Anderson, PhD, University of California, Davis
Author:
Elmer Bernstam, MD, MSE, MS, UTHealth Science Center Houston
Author:
Peter Embi, MD, MS, Vanderbilt University Medical Center
Evaluation
Informatics Implementation
Change Management
Workshop - Collaborative
Location: Churchill B2
Session Code: W21
Session Credits: 3.00
|
Location: Churchill B2
Session Code: W21
Session Credits: 3.00
|
2023111113:0016:30 080
|
SAT, NOV 11
|
13DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
EA65A8AD-42A2-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Churchill B2
Session Code: S42
Session Credits: 1.50
|
Location: Churchill B2
Session Code: S42
Session Credits: 1.50
|
2023111315:3017:00 005
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:30 PM - 7:00 PM CST
|
|
Clinical Research Informatics Working Group Community Meeting
This is an open meeting for attendees interested in the Clinical Research Informatics (CRI) Working Group community at AMIA. CRI is a subdomain of biomedical informatics, encompasses the technology and processes and principles and practices to support the breadth of activities included in the execution of clinical research involving human subjects and their data. Learn more and join us for networking and discussion.
Working Group
Location: Churchill B2
|
Location: Churchill B2
|
2023111417:3019:00 000
|
TUE, NOV 14
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Clinical Applications of Large Language Models - "CHAT-tanooga Choo Choo"
Speaker(s):
Session Chair:
Hua Xu, PhD, Yale University
Oral Presentation
|
A Study of Generative Large Language Models and Clinical Text Generation for Building the Next Generation of Intelligent EHR system
Speaker:
Yonghui Wu, PhD, University of Florida
Author:
Cheng Peng, PhD, University of Florida
Author:
Aokun Chen, Ph.D, University of Florida
Author:
Nima Nejatian
Author:
Anthony Costa, PhD, NVIDIA
Author:
Mona Flores, PhD, NVIDIA
Author:
Tanja Magoc, PhD, University of Florida
Author:
William Hogan, MD, University of Florida
Author:
Elizabeth Shenkman, PhD, University of Florida Health
Author:
Duane Mitchell, MD, PhD, University of Florida
Author:
Jiang Bian, PhD, University of Florida
|
|
Clinical inference of cancer trajectory from radiology reports using ChatGPT
Speaker:
Travis Zack, Md/PhD, University of California, San Francisco
Author:
Madhumita Sushil, PhD, UCSF
Author:
Brenda Miao, B.S., University of California, San Francisco
Author:
Arda Demirci, B.S., University of California, San Francisco
Author:
Corynn Kasap, MD, PhD, University of California, San Francisco
Author:
Atul Butte, MD PhD, UCSF
Author:
Eric Collisson, M.D., University of California, San Francisco
|
|
Assessing the Value of ChatGPT for Clinical Decision Support Optimization
Speaker:
Siru Liu, PhD, Vanderbilt University Medical Center
Author:
Aileen Wright, MD, MS, Vanderbilt
Author:
Barron Patterson, MD, Vanderbilt University Medical Center
Author:
Jonathan Wanderer, MD, Vanderbilt University Medical Center
Author:
Robert Turner, MD, Vanderbilt University Medical Center
Author:
Scott Nelson, PharmD, MS, CPHIMS, FAMIA, ACHIP, Vanderbilt University Medical Center
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
|
|
Validation of Large Language AI Based Patient Message Classification to Automate Workflows and Reduce Inbox Burden
Author:
Krishna Gorrepati
Author:
Julian Genkins, MD, Stanford Health Care
Author:
Alan Safdi
Author:
Ayush Sangari
Author:
Ryan Han
Author:
Margaret Smith, MBA, Stanford School of Medicine
Speaker:
Kevin Tang
Author:
Anin Sayana, MS, Quadrant Health
Author:
Anna Devon-Sand, MPH
Author:
Theadora Sakata, MD, "None"
Author:
Amelia Sattler, MD, Stanford School of Medicine
Author:
Shreya Shah, MD, FACP, Stanford University
Author:
Steven Lin, Stanford University School of Medicine
Author:
Timothy Tsai, MD, Duke University Health System
|
Location: Churchill D
Session Code: S95
Session Credits: 1.25
|
Location: Churchill D
Session Code: S95
Session Credits: 1.25
|
2023111508:0009:15 007
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Churchill D
Session Code: S48
Session Credits: 1.50
|
Location: Churchill D
Session Code: S48
Session Credits: 1.50
|
2023111315:3017:00 011
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
An Introduction to NCATS Public Resources and Analytics for Rare Diseases, Targets, Drug Substances, and Analytes
Translational research efforts increasingly rely on up-to-date and comprehensive resources and associated analytics to accelerate preclinical and clinical discoveries. While many different types of resources exist, they can be broadly categorized as those providing information on diseases, molecular/omic phenotypes, target annotations, and ingredient/drug regulatory information. Our group at NCATS is developing, maintaining, and providing access and analytics to such resources in collaboration with other domain experts in academia and other federal agencies. The goal of this instructional workshop is to provide an overview of four public resources: 1) Rare Disease Alert System (RDAS) for annotations on rare diseases from biomedical literature, grant funding, and clinical trials; 2) Relational database of Metabolomics Pathways (RaMP-DB) for chemical, biological, and ontology annotations on human analytes (metabolites, genes, proteins); 3) Pharos for annotations related to targets, including the widely used Target Development Level; and 4) Inxight/Global Substance Registration System (GSRS) for integrated and curated data supplied by the FDA and private companies on the regulatory status and drug ingredient definitions and annotations. For each of these resources, an overview of the underlying datasets, their provenance and how they could be useful will be discussed, followed by a more detailed and interactive session on how to interact with the data (through web applications, R packages, and/or APIs). Further, we will provide details on the underlying standards used within each resource, as well as examples on how we integrate these resources for generating comprehensive knowledge graphs.
Speaker(s):
Speaker:
Ewy Mathe, PhD, National Institute for Advancing Translational Sciences
Speaker:
Qian Zhu, PhD, National Institutes of Health
Speaker:
Timothy Sheils, NIH/NCATS
Speaker:
Keith Kelleher, Axle Informatics / NIH / NCATS
Data Sharing
Knowledge Representation and Information Modeling
Data standards
Workshop - Instructional
Location: Churchill D
Session Code: W20
Session Credits: 3.00
|
Location: Churchill D
Session Code: W20
Session Credits: 3.00
|
2023111113:0016:30 079
|
SAT, NOV 11
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
20DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
DADADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Beyond Completeness: Considerations for Systematic Assessment of Fitness in Secondary Use of Clinical Data
Systematically designed Data Quality Assessment (DQA) is important for secondary use of clinical data, as collection cannot usually be altered to fit a specific use case. The goal of this panel will be to describe recent advances in data quality beyond traditional frameworks. We will discuss methods for designing and automating effective DQA by merging research requirements with reusable DQ principles, yielding testing that extends beyond simple structure of data to assess its fit for intended analyses. We will review deployment of DQA in large networks and datasets, to identify issues early and efficiently, allowing changes to data acquisition or analytic methods before effort is lost in studies. Finally, we will explore interpretation and causes of DQA findings, not just to fix data extraction errors but to understand how the characteristics of the data influence the validity and usability of study outcomes.
Speaker(s):
Speaker:
Hanieh Razzaghi, MPH, Children's Hospital of Philadelphia
Speaker:
Harold Lehmann, MD PhD FACMI, Johns Hopkins University
Speaker:
Nicole Weiskopf, PhD, Oregon Health & Science University
Speaker:
Clair Blacketer, MPH, Johnson & Johnson
Speaker:
Charles Bailey, MD, PhD, Children's Hospital of Philadelphia
Knowledge Representation and Information Modeling
Real-World Evidence Generation
Reproducibility
Panel
Location: Churchill D
Session Code: S81
Session Credits: 1.50
|
Location: Churchill D
Session Code: S81
Session Credits: 1.50
|
2023111415:3017:00 004
|
TUE, NOV 14
|
20DBDCFC-2A98-ED11-80F4-8AF502304007
36DBDCFC-2A98-ED11-80F4-8AF502304007
35DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Blue State, Red State: The Effects of U.S. Political Polarization on Informatics Workforce, Research, and Training
With the increasing polarization of U.S. politics, states are passing laws pertaining to reproductive health, educational curricula, gender minorities, and other divisive issues. These laws are affecting informatics in multiple ways, from data collection and curation to research to education to workforce. In this wide-ranging discussion, panelists from multiple states will report on recent developments in their state, explore effects on informatics, and discuss solutions and responses from the informatics community. We will focus on the question: Can informatics do anything to help address this divide?
Speaker(s):
Speaker:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Speaker:
Martin Were, MD, Department of Biomedical Informatics, Vanderbilt University
Speaker:
Christoph Lehmann, MD, UT Southwestern Medical Center
Speaker:
Kenneth Goodman, PhD, FACMI, FACE, University of Miami Miller School of Medicine
Speaker:
Alvin Jeffery, PhD, RN, U.S. Department of Veterans Affairs
Diversity, Equity, and Inclusion
Ethical, Legal, Regulatory, and Social Issues
Real-World Evidence Generation
Panel
Location: Churchill D
Session Code: S69
Session Credits: 1.50
|
Location: Churchill D
Session Code: S69
Session Credits: 1.50
|
2023111413:4515:15 003
|
TUE, NOV 14
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
36DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Extending the EHR to support clinical and research use of Social Drivers of Health (SDoH) data
There is increasing recognition of the vital importance of social drivers of health (SDoH) in order to better understand and improve health and healthcare. However, assessment of SDoH at the individual-level has been inconsistent, data are not standardized, and social-environmental data linked to the places patients live are rarely integrated with their clinical data to support clinical decision-making or research. In this panel, collaborators from the National COVID Cohort Collaborative (N3C) will present examples from their work within N3C as well as from their academic institutions to provide real-world examples of ongoing work that seeks to improve collection, interoperability, analysis, visualization, and community engagement for SDoH research in big data.
Speaker(s):
Speaker:
Jimmy Phuong, PhD, University of Washington
Speaker:
Charisse Madlock-Brown, PhD, University of Tennessee Health Science Center
Speaker:
Rena Patel, MD, MPH, University of Alabama Birmingham
Speaker:
Carol Geary, PhD, MBA, RN, UNMC
Author:
Nisha Mathews, PhD, RN, University of Houston Clear Lake
Author:
Anthony Solomonides, PhD, Research Institute/NorthShore University HealthSystem
Speaker:
William Adams, MD, Boston Medical Center/BU Chobanian & Avedisian School of Medicine
Population Health
Data transformation/ETL
Patient Engagement and Preferences
Panel
Location: Churchill D
Session Code: S109
Session Credits: 1.25
|
Location: Churchill D
Session Code: S109
Session Credits: 1.25
|
2023111509:4511:00 010
|
WED, NOV 15
|
2EDBDCFC-2A98-ED11-80F4-8AF502304007
10DBDCFC-2A98-ED11-80F4-8AF502304007
EA8B5E30-7D9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9073A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Optimizing Screening for Digital Inclusion in Diverse Populations
Digital inclusion is increasingly recognized as a social driver of health. There is significant variation in screening for digital inclusion with regards to what questions are asked, how data are recorded, who conducts the screening, and how connections to resources are made. To exacerbate these challenges, few well-validated screening questions exist for use in populations that are lower income, older, or have limited English proficiency. This panel will share insights learned from initiatives to optimize the screening process for digital needs at four health systems representing geographically and socioeconomically diverse populations: an urban safety net system in San Francisco, an integrated health system in Northern California, an urban safety net system in Los Angeles, and an academic health system in Boston. Lessons learned will focus on emerging best practices on screening questions to determine who needs help; when and how to screen patients; and what kind of help is desired.
Speaker(s):
Speaker:
Elaine Khoong, MD, MS, University of California San Francisco
Speaker:
Emilia De Marchis, MD, MAS, University of California San Francisco
Speaker:
Jorge Rodriguez, MD, Brigham and Women's Hospital/Harvard Medical School
Speaker:
Alejandra Casillas, MD, MSHS, University of California Los Angeles
Speaker:
Oanh Nguyen, MD MAS, University of California San Francisco
Diversity, Equity, and Inclusion
Racial Disparities
Telemedicine
Panel
Location: Churchill D
Session Code: S04
Session Credits: 1.50
|
Location: Churchill D
Session Code: S04
Session Credits: 1.50
|
2023111215:3017:00 001
|
SUN, NOV 12
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
33DBDCFC-2A98-ED11-80F4-8AF502304007
49DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
Publishing Your Qualitative Research in Health Informatics: An Instructional Workshop
Qualitative research is the collection and analysis of non-quantitative and non-quantifiable data through interviews, observations, and other methods to understand perspectives, beliefs, experiences, and contexts. Qualitative research can be used to generate nuanced insight into the patients and professionals who use informatics innovations, the settings in which they live and work, and the life experiences that produce medical, health, technology, and social media data. But despite the recognized value of qualitative research in informatics, researchers sometimes find it challenging to publish qualitative projects, which use different methods and terms than the ones most familiar to quantitative and computational researchers. Authors may struggle with selecting accurate language to report their work, determining what types and how much methodological detail to provide, and finding ways to present or visualize findings in a compelling way. Many qualitative authors also encounter challenges complying with journal word or page limits, as qualitative papers may require more space to effectively report methods and describe findings.
Speaker(s):
Speaker:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Speaker:
Kim Unertl, PhD, Vanderbilt University Medical Center
Speaker:
Tiffany Veinot, MLS, PhD, University of Michigan
Qualitative Methods
Teaching Innovation
Reproducibility
Workshop - Instructional
Location: Churchill D
Session Code: W26
Session Credits: 3.00
|
Location: Churchill D
Session Code: W26
Session Credits: 3.00
|
2023111208:3012:00 085
|
SUN, NOV 12
|
32DBDCFC-2A98-ED11-80F4-8AF502304007
48DBDCFC-2A98-ED11-80F4-8AF502304007
35DBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9E73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Social Determinants of Health: Methods for Detection and Epidemiological and Clinical Applications
Social determinants of health (SDH) refer to the conditions in which people are born, live, work, and age.1 They include socioeconomic status, nutrition, education, housing, physical environment, safety, employment, social support, and access to healthcare.1 SDH are important risk factors for a broad range of diseases and outcomes including diabetes, cancer, cardiovascular diseases, Alzheimer’s disease, opioid overdose and suicide. The National Institutes of Health (NIH) has recognized the importance of SDH. SDH has been richly described in electronic health records (EHR). While International Classification of Disease (ICD) codes can be used to identify SDH, a study has shown that EHR notes contain about 90 times more information about SDH than the structured EHR data.2 Recent studies have shown that advanced natural language processing (NLP) approaches can be developed to extract SDH from EHR notes.3–5 The NLP-extracted SDH have shown to be associated with opioid overdose4 and suicide death.5 In this workshop, we have invited world-leading experts to discuss AI technologies related to detection of SDH, and how AI-identified SDH can support epidemiological, and clinical applications. This event will cover in-depth topics such as AI technologies for SDH, challenges in AI deployment in clinical settings. We will invite NIH program officers (we plan to invite Drs. Khatipov and Haegerich) to join the discussion.
Speaker(s):
Speaker:
Dan Berlowitz, University of Massachusetts Lowell
Speaker:
Hong Yu, Ph.D., University of Massachusetts Lowell
Speaker:
Kun Chen, University of Connecticut
Speaker:
Honghuang Lin, University of Massachusetts Chan Medical School
Speaker:
Candyce Kroenke, Kaiser Permanente Northern California and Kaiser Permanente School of Medicine
Delivering Health Information and Knowledge to the Public
Diversity, Equity, and Inclusion
Informatics Implementation
Panel
Location: Churchill D
Session Code: S61
Session Credits: 1.50
|
Location: Churchill D
Session Code: S61
Session Credits: 1.50
|
2023111410:3012:00 004
|
TUE, NOV 14
|
08DBDCFC-2A98-ED11-80F4-8AF502304007
0CDBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Strategies for Communicating Health IT Change
Communication is a frequently underappreciated, understated, and underestimated asset in the care of patients, particularly in the setting of informatics and technological solutions. Poor communication is often identified as the cause of poor outcomes in the medical environment. The workshop will discuss the importance and choice of information mode, techniques to tailor communication for diverse audiences, and failures caused by communication “encoding” (messaging) or “decoding” (interpretation) errors. We will examine the consequences of poor communication in project planning and implementation, as well as strategies to develop robust communication plans to support health IT change. Participants then will apply these learnings through interactive, small-group case discussions, to develop communication plans in scenarios that informaticists commonly face: 1. Implementing complex/nuanced technology and process changes - 21st Century Cures and multi-stakeholder communication planning (including patients, providers, and caregivers). 2. Time-Sensitive and Critical Communications - Unplanned EHR downtime and “real-time” communication to busy clinical providers. 3. Team Collaboration and Choice of Mode - Comparison of pros and cons of email, voice, in-person, video, team-based communication tools (e.g. Slack, Teams), and real-time communication (e.g., WhatsApp, Teams, Secure Text Messaging).
Speaker(s):
Speaker:
Sansanee Craig, MD, Children's Hospital of Philadelphia
Speaker:
Jonathan Hron, MD, Boston Children's Hospital
Speaker:
Natalie Pageler, MD, Stanford University
Informatics Implementation
Workshop - Instructional
Location: Churchill D
Session Code: W07
Session Credits: 1.50
|
Location: Churchill D
Session Code: W07
Session Credits: 1.50
|
2023111108:3012:00 066
|
SAT, NOV 11
|
1ADBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
8F73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Studying Temporal Patterns in Data - "As Time Goes By"
Speaker(s):
Session Chair:
David Albers, PhD, DBMI, University of Colorado Anschutz Medical Campus
Oral Presentation
|
Identifying Time Trajectories in Risk Factors Documented in Clinical Notes and Predicting Hospitalizations and Emergency Department Visits during Home Health Care
Speaker:
Jiyoun Song, PhD, AGACNP-BC, RN, University of Pennsylvania School of Nursing
Author:
Se Hee Min, PhD, RN, Columbia University School of Nursing
Author:
Sena Chae, PhD., RN, University of Iowa
Author:
Kathy Bowles, PhD, RN, University of Pennsylvania
Author:
Margaret McDonald, MSW, Center for Home Care Policy & Research, VNS Health
Author:
Mollie Hobensack, MPhil, BSN, RN, Icahn School of Medicine at Mount Sinai
Author:
Yolanda Barron, MS, VNS Health
Author:
Sridevi Sridharan, VNSNY
Author:
Anahita Davoudi, PhD, VNS Health
Author:
Sungho Oh, PhD, RN, University of Pennsylvania School of Nursing
Author:
Lauren Evans, DrPH, Center for Home Care Policy & Research, VNS Health
Author:
Maxim Topaz, PhD, RN, Columbia University School of Nursing
|
|
Self-Supervised Clustering of Multivariate Time-Series Data for Identifying TBI Physiological States
Speaker:
Hamid Ghaderi, University of Arizona, University of Arizona
Author:
Brandon Foreman, College of Medicine, University of Cincinnati, Cincinnati
Author:
Amin Nayebi, MS, The University of Arizona
Author:
Sindhu Tipirneni, Department of Computer Science, Virginia Tech, Arlington, VA, USA, Oak Ridge National Laboratory, Virginia Polytechnic Institute and State University
Author:
Chandan Reddy, Department of Computer Science, Virginia Tech, Arlington, VA, USA
Author:
Vignesh Subbian, PhD, University of Arizona
|
Location: Churchill D
Session Code: S15
Session Credits: 1.50
|
Location: Churchill D
Session Code: S15
Session Credits: 1.50
|
2023111308:3010:00 007
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
mHealth - "Let’s Stay Engaged"
Speaker(s):
Session Chair:
Katherine Kim, PhD, MPH, MBA, FAMIA, MITRE Corporation
Oral Presentation
|
Pilot randomized controlled trial of a patient-centered mHealth intervention for patients with heart failure to improve self-care adherence
Speaker:
Spyros Kitsiou, PhD, Department of Biomedical and Health Information Sciences, University of Illinois at Chicago
Author:
Susan Pressler, PhD, RN, Indiana University
Author:
Todd Ruppar, PhD, RN, Rush University
Author:
Susan Buchholz, PhD, RN, Michigan State University
Author:
Mayank Kansal, MD, University of Illinois at Chicago
Author:
Ben Gerber, MD, MPH
|
|
Community Health Recommendations Driven by mHealth Population Surveillance Data Amongst Burmese Displaced People in Eastern India: A Pilot Usability Assessment of a Mobile Health Application for Data Collection
Speaker:
Kylie Dougherty, RN, BSN, MPhil, Northwestern University
Author:
Ruth Masterson Creber, PhD, MSc, RN, Weill Cornell Medicine
Author:
Beichotha Zawtha, MBBS, Health and Hope
Author:
Natalie Benda, PhD, Columbia University School of Nursing
|
|
Exercise Exertion Level Prediction Using Data from Wearable Physiologic Monitors
Speaker:
AREF SMILEY, PhD, Department of Biomedical Informatics, University of Utah
Author:
Te-Yi Tsai, MSc, Department of Biomedical Informatics, University of Utah
Author:
Aileen Gabriel, MSc, Department of Biomedical Informatics, University of Utah
Author:
Ihor Havrylchuk, BSc, Department of Biomedical Informatics, University of Utah
Author:
Elena Zakashansky, MSc, Department of Biomedical Informatics, University of Utah
Author:
Taulant Xhakli, BSc, Department of Biomedical Informatics, University of Utah
Author:
Xingyue Huo, MSc, Department of Biomedical Informatics, University of Utah
Author:
Wanting Cui, MSc, Department of Biomedical Informatics, University of Utah
Author:
Fatemeh Shah-Mohammadi, PhD, Department of Biomedical Informatics, University of Utah
Author:
Joseph Finkelstein, MD, PhD, Department of Biomedical Informatics, University of Utah
|
Location: Churchill D
Session Code: S22
Session Credits: 1.50
|
Location: Churchill D
Session Code: S22
Session Credits: 1.50
|
2023111310:3012:00 005
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Underserved Populations - "Everybody"
Speaker(s):
Session Chair:
Rubina Rizvi, University of Minnesota
Oral Presentation
|
Structured and Unstructured Social Risk Factor Documentation in the Electronic Health Record Underestimates Patients’ Self-Reported Risks
Speaker:
Bradley Iott, PhD, MPH, University of California San Francisco
Author:
Samantha Rivas, BS, UCSF
Author:
Laura Gottlieb, MD, MPH, UCSF School of Medicine
Author:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Author:
Matthew Pantell, MD, MS, UCSF
|
|
Latent Class Analysis of Social Needs in Medicaid Population and its Impact on Risk Adjustment Models
Speaker:
Chintan Pandya, PhD, MPH, MBBS, Johns Hopkins Bloomberg School of Public Health
Author:
JunBo Wu, BA
Author:
Elham Hatef, MD, MPH, Johns Hopkins University
Author:
Hadi Kharrazi, MD, PhD, FAMIA, FACMI, Johns Hopkins University
|
|
Prediction of need for social services in an emergency department setting
Speaker:
Joshua Vest, PhD, MPH, FACMI, Indiana University
Author:
Shaun Grannis, MD, MS, FACMI, Regenstrief Institute
Author:
Nir Menachemi, PhD, MPH, Indiana University / Regenstrief Institute
Author:
Olena Mazurenko, MD, PhD, MS, Indiana University Fairbanks School of Public Health
Author:
Christopher Harle, Indiana University
Author:
Suranga Kasthuri, PhD, University of New South Wales
|
Location: Churchill D
Session Code: S33
Session Credits: 1.50
|
Location: Churchill D
Session Code: S33
Session Credits: 1.50
|
2023111313:4515:15 007
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Real-world Modeling & Implementation - "Fortune Teller"
Speaker(s):
Session Chair:
Christopher Tignanelli, MD, University of Minnesota
Oral Presentation
|
Multi-Task Learning for Post-transplant Cause of Death Analysis: A Case Study on Liver Transplant
Speaker:
Sirui Ding, Ph.D. student, Texas A&M University
Author:
Qiaoyu Tan, Ph.D., Texas A&M University
Author:
Chia-Yuan Chang, None, Texas A&M University
Author:
Na Zou, Ph.D., Texas A&M University
Author:
Kai Zhang, PhD, University of Texas Health Science Center at Houston
Author:
Nathan Hoot, MD, PhD, The University of Texas Health Science Center at Houston
Author:
Xiaoqian Jiang, University of Texas Health Science Center at Houston, University of Texas Health Science Center at Houston
Author:
Xia Hu, Ph.D, Rice University
|
|
Physiological phenotype forecasting in the ICU with data assimilation
Speaker:
Yanran Wang, Ph.D. Candidate, Department of Biostatistics and Informatics, DBMI, University of Colorado Anschutz Medical Campus
Author:
J.N. Stroh, Ph.D., Department of Bioengineering, DBMI, University of Colorado Anschutz Medical Campus
Author:
Debashis Ghosh, BIOS, University of Colorado Anschutz Medical Campus
Author:
George Hripcsak, MD, MS, Columbia University Irving Medical Center
Author:
Melike Sirlanci, DBMI, University of Colorado Anschutz Medical Campus
Author:
Tellen Bennett, MD, MS, DBMI, University of Colorado School of Medicine
Author:
Julia Wrobel, PhD, MS, BIOS, Emory University
Author:
David Albers, PhD, DBMI, University of Colorado Anschutz Medical Campus
|
|
Towards Equitable and Effective Implementation: Refining and Validating a Postpartum Depression Risk Prediction Model
Author:
Yifan Liu, MS, Weill Cornell Medicine
Author:
Rochelle Joly, MD
Author:
Meghan Reading Turchioe
Author:
Natalie Benda, PhD, Columbia University School of Nursing
Author:
Alison Hermann, MD
Author:
Ashley Beecy, MD
Author:
Jyotishman Pathak, PhD, Weill Cornell Medical College, Cornell University
Speaker:
Yiye Zhang, PhD, Weill Cornell Medical College
|
|
Implementation and Impact of a Machine Learning-Based Pediatric Risk Stratification Model
Speaker:
Anoop Mayampurath, PhD, University of Wisconsin - Madison
Author:
Matthew Churpek, MD, MPH, PhD, University of Wisconsin-Madison
Author:
Kyle Carey, MPH
Author:
Brett Palama, MD, MS
Author:
Monica Gonzalez, MS, APRN
Author:
Joe Reid, MSN, RN
Author:
Allison H. Bartlett, MD, MS
Author:
Dana Edelson MD, MS
Author:
Priti Jani, MD, MPH
|
|
Learning About Patient Safety Concerns during Implementation of a Provincial Clinical Information System
Author:
Elizabeth Au, BN, Alberta Health Services
Speaker:
Reed Sutton, MSc, Alberta Health Services
Author:
Sharmeen Zahir, MPH, Alberta Health Services
Author:
Pritma Dhillon-Chattha, DNP MHA RN, Alberta Health Services
Author:
Patrick Yu
Author:
Elise de Jager, MA, BScN, Alberta Health Services
Author:
Claire Goldring, MSc, Alberta Health Services
Author:
Farah Magrabi, PhD, Macquarie University, Australian Institite of Health Innovation
Speaker:
David Meurer, BScN, Alberta Health Services
|
Location: Churchill D
Session Code: S53
Session Credits: 1.50
|
Location: Churchill D
Session Code: S53
Session Credits: 1.50
|
2023111408:3010:00 005
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Systems Demo - AI & Implementation
Speaker(s):
Session Chair:
Yuri Quintana, Beth Israel Deaconess Medical Center
Systems Demonstration
|
Translating Machine Learning Research into Implementation: Visual Analytics Tool for Model Evaluation, Threshold Selection, and Explainability
Speaker:
Nikolay Braykov, MS, Children's Healthcare of Atlanta
Author:
Andrea McCarter, PhD, Children's Healthcare of Alanta
Author:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
|
|
A Novel Software Platform for EHR-Integrated Real-Time Inpatient Applications
Speaker:
Gerald Shaeffer, MHI, Childrenís Hospital of Philadelphia
Author:
Naveen Muthu, MD, Children's Healthcare of Atlanta
Author:
Fuchiang (Rich) Tsui, PhD, Children's Hospital of Philadelphia and University of Pennsylvania
Author:
LINGYUN SHI, MS, Children's Hospital of Philadelphia
Author:
Robert Grundmeier, M.D., None
|
Location: Jefferson Ballroom
Session Code: S76
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S76
Session Credits: 1.50
|
2023111413:4515:15 010
|
TUE, NOV 14
|
E5DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Jefferson Ballroom
Session Code: S87
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S87
Session Credits: 1.50
|
2023111415:3017:00 010
|
TUE, NOV 14
|
E5DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Systems Demo - AI & Robotics
Speaker(s):
Session Chair:
Heather Evans, MD, MS, FACS, Ralph H. Johnson VA Medical Center
Systems Demonstration
|
System Demonstration of Ethicara: Bias Detection and Mitigation for Responsible AI in Healthcare
Author:
Pei-Yun Hsueh, PhD, FAMIA, Pfizer
Speaker:
Maria Kritharidou, MS, Pfizer Inc.
Author:
Tasos Ventouris, MS, Pfizer Inc.
Author:
Georgios Chrysogonidis, MS, Pfizer Inc.
Author:
Anastasios Ventouris, MS, Pfizer Inc.
Author:
Ahsan Huda, PhD, Pfizer Inc.
|
Location: Jefferson Ballroom
Session Code: S97
Session Credits: 1.25
|
Location: Jefferson Ballroom
Session Code: S97
Session Credits: 1.25
|
2023111508:0009:15 009
|
WED, NOV 15
|
E5DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
AMIA/HL7 FHIR® App Competition
AMIA and HL7 are partnering again to bring an exciting application competition to the AMIA 2023 Annual Symposium. The FHIR® App Competition is generously sponsored by Leap of Faith Technologies. The HL7 Fast Healthcare Interoperability Resources (FHIR®) Standard is a method for accessing information in health information technology systems. As patients move around the healthcare ecosystem, their electronic health records must be available, discoverable, and understandable. FHIR® is making that possible, based on over 30 years of work by HL7 on healthcare data exchange and information modeling standards. The competition is intended to highlight the best and most innovative FHIR® implementations The competition requirements are the app must currently be used in real-world practice (if a non-student submission); use FHIR to access health-related data; and must have a minimum viable prototype. Competition judges select a set of approximately 9 applications for presentation at the AMIA 2023 Annual Symposium.
Speaker(s):
Moderator:
Brian Douthit, PhD, RN-BC, Department of Biomedical Informatics, Vanderbilt University
Speaker:
Brian Douthit, PhD, RN-BC, Department of Biomedical Informatics, Vanderbilt University
Oral Presentation
Location: Jefferson Ballroom
Session Code: S66
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S66
Session Credits: 1.50
|
2023111410:3012:00 009
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
AMDIS Inside AMIA 2023: The Operational Value of Clinical informatics to healthcare organizations
We are delighted to a host a panel designed by informatics colleagues from the Association of Medical Directors of Information Systems (AMDIS). The first “Clinical IT Champions” emerged decades ago to narrow the chasm between information technology and the clinical practice of medicine, driven by things like Meaningful Use, Regulatory, Payer requirements. From the subsequent explosion of medical information and the need for clinical data to support evidence-based medicine, the field of Clinical Informatics evolved. In this presentation we explore the role Clinical Informatics plays in ensuring healthcare information technology works to power health for clinicians and patients supporting the quintuple aim and advancing research biomedical data to improve the health outcomes and delivery of individuals and populations. Featured guests from AMDIS will explain topics including the value of Clinical Informatics to healthcare and academic organizations; supporting collaborative governance aligning Clinical Informatics, Clinical Operations, and academic biomedical research, and how to leverage Clinical Informatics to drive data driven processes that advance systems science for continuous learning and improvement.
Speaker(s):
Speaker:
Margaret Lozovatsky, MD, FAMIA, Novant Health
Speaker:
Karl Kochendorfer, MD, FAAFP, FAMIA, University of Illinois
Speaker:
Amy Sitapati, MD, UC San Diego
Speaker:
Howard Landa, Sutter Health
Panel
Location: Jefferson Ballroom
Session Code: S106
Session Credits: 1.25
|
Location: Jefferson Ballroom
Session Code: S106
Session Credits: 1.25
|
2023111509:4511:00 007
|
WED, NOV 15
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:30 PM CST
|
|
Location: Jefferson Ballroom
Session Code: JAMIA4
|
Location: Jefferson Ballroom
Session Code: JAMIA4
|
2023111317:3019:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Advancing Healthcare through Equity-Focused Informatics and Data Practices
The proliferation of large multidimensional datasets has underpinned many advances in biomedical informatics research, especially as it concerns computational models. Although increased access to data and computational models are meant to improve health and healthcare outcomes for all, merely increasing the size of datasets and the number of parameters in models will not address health inequities, especially for marginalized and disinvested communities. This panel will inform the ongoing scholarly debate about data ownership and use, contextual awareness in design considerations, and the value of broad stakeholder involvement in informatics.
Speaker(s):
Speaker:
Oliver Bear Don't Walk, IV, PhD, University of Washington
Speaker:
Denis Newman-Griffis, PhD, University of Sheffield
Speaker:
Reggie Casanova-Perez, MS, Department of Biomedical Informatics and Medical Education, University of Washington
Speaker:
Diane Korngiebel, DPhil, Google
Speaker:
Krystal Tsosie, PhD, MPH, MA
Diversity, Equity, and Inclusion
Ethical, Legal, Regulatory, and Social Issues
Bioinformatics
Panel
Location: Jefferson Ballroom
Session Code: S30
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S30
Session Credits: 1.50
|
2023111313:4515:15 004
|
MON, NOV 13
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
41DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9473A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Clinical Decision Support for Treating Opioid Use Disorder with Buprenorphine: Challenges and Opportunities
The opioid crisis has evolved to more dangerous drugs and sharply increasing overdose deaths. The most effective treatment for opioid use disorder is medication, and the preferred medication is buprenorphine. Recently, the X-Waiver program that required prescribers of buprenorphine to undergo additional training and limited the number of patients prescribers could treat was removed by the Consolidated Appropriations Act of 2023. Given these changes, it is important to understand how clinical decision support (CDS) can enable prescribers to provide safe and effective treatment for opioid use disorder with buprenorphine. In this panel, we will present diverse approaches to combining CDS with buprenorphine treatment at three separate institutions. We believe this panel will be crucial to advancing the discussion of how CDS can facilitate access to life-saving treatment for opioid use disorder.
Speaker(s):
Speaker:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Adriane dela Cruz, MD, UT Southwestern Medical Center
Author:
Casey Distaso, MD, Vanderbilt University Medical Center
Author:
Edward Melnick, MD, MHS, Yale Schools of Medicine and Public Health
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Clinical Decision Support
Patient Safety
User-centered Design Methods
Panel
Location: Jefferson Ballroom
Session Code: S12
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S12
Session Credits: 1.50
|
2023111308:3010:00 004
|
MON, NOV 13
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
29DBDCFC-2A98-ED11-80F4-8AF502304007
4FDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Emergent Properties in Sociotechnical Research: Building on Individual Differences within Social Context For Personalized Design
This workshop will propose opportunities for the next generation of sociotechnical research. Decades of sociotechnical research have identified the importance of the user and the context in issues of design. However, a gap of understandinig still exists regarding the emergent properties of individual (user) by context (e.g. setting) interactions that significantly impact both design and implementation decisions. We will present content areas and methods (qualitative, quantitative, and statistical) that promote our understanding of a user as an individual who differentially acts in relation to variation in social and technical contexts. Differences in relation to settings and task characteristics create new properties that need to be addressed in participatory design, personalizing assessments of user needs, and implementation decisions. We will address key findings in how people create mental models of a situation, impact of expertise in decision-making, motivational aspects of diagnostic reasoning, self-regulation of attention, the importance of autonomy and social motivation, and new concepts in AI development that are relevant to individual differences in trust and accountability. We will discuss areas ripe for new sociotechnical methods to explore the complexity of the user x social context x technical system including storytelling, harnessing log data, implementation methods, designing experimental and ethnographic studies to investigate individual differences, sensemaking, and shared mental models as predictors and in interaction with other variables
Speaker(s):
Speaker:
Laurie Novak, PhD, Vanderbilt University Medical Center Dept of Biomedical Informatics
Speaker:
Bryan Gibson, Dept of Biomedical Informatics, Univ of Utah School of Medicine
Speaker:
Vimla Patel, The New York Academy of Medicine
Speaker:
Jorie Butler, PhD, University of Utah
Human-computer Interaction
User-centered Design Methods
Usability
Workshop - Collaborative
Location: Jefferson Ballroom
Session Code: W06
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: W06
Session Credits: 1.50
|
2023111108:3012:00 065
|
SAT, NOV 11
|
18DBDCFC-2A98-ED11-80F4-8AF502304007
4FDBDCFC-2A98-ED11-80F4-8AF502304007
4DDBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9E73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Introduction to HL7 FHIR Genomics Interoperability Standards
Precision genomic medicine is a key part of modern medicine. Its application and utility in clinical care and translational research is increasing at a rapid pace in areas including cancer, inherited diseases, pharmacy, etc. Much of work has been done in developing clinical genomic assays, clinical genomic data analysis, and clinical genomic reports. However, healthcare and research institutions are struggling to implement exchange of clinical genomic data in standardized and meaningful manner, paralyzing management efforts. Despite the availability of standards for exchange, adoption has been hindered due to lack of clinical genomic standards familiarity. The barriers to meaningful use and development of clinical genomics data standards are, (1) lack of individuals who are cross trained between fields of clinical genomics, clinical bioinformatics, and clinical informatics, (2) complexity of genomic data normalization, and (3) evolving knowledge for genomics data. A successful delivery of the training requires interdisciplinary instructions in the concepts from clinical genomics, clinical bioinformatics, and clinical informatics. The goal of this workshop is to cross train individuals in necessary concepts across clinical genomics, clinical bioinformatics, and clinical informatics, which will promote meaningful adoption of clinical genomics data standards at their institutions and active participation in the development of clinical genomics data standards. This instructional three hour workshop is designed to introduce attendees to the FHIR Genomics interoperability specification, and show how the specification can be used to communicate structured genomics reports and enable genomics-EHR integration strategies.
Speaker(s):
Speaker:
Srikar Chamala, PhD, Children's Hospital Los Angeles / Univ of Southern California
Speaker:
Robert Dolin, MD, Elimu Informatics, Inc
Speaker:
Bret Heale, Phd, Humanized Health Consulting
Speaker:
May Terry, M.Sc., BSEE, BSN, RN, MITRE Corporation
Omics (genomics, metabolomics, proteomics, transcriptomics, etc.) and Integrative Analyses
Precision Medicine
Data standards
Workshop - Instructional
Location: Jefferson Ballroom
Session Code: W14
Session Credits: 3.00
|
Location: Jefferson Ballroom
Session Code: W14
Session Credits: 3.00
|
2023111113:0016:30 073
|
SAT, NOV 11
|
25DBDCFC-2A98-ED11-80F4-8AF502304007
30DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DADADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9573A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
Mitigating AI Risk through Ethical Data Science
SOLD OUT
Artificial Intelligence (AI) has the potential to improve healthcare outcomes, yet AI technologies can also present risks. Bias in AI, defined as “unfair systematic error”, or more specifically, “the inclination or prejudice of a decision made by an AI system which is for or against one person or group, especially in a way considered to be unfair” is a topic of vital importance in both the informatics and ethics communities. This workshop will focus on several major facets of mitigating AI risks. A panel discussion will feature presentations from experts from the legal, machine learning, statistics, and medical domains. A poster session with lightning talks will further inform the topic. Subgroup discussions will add attendee input to salient issues of law, policy, clinical practice, data management, and AI transparency. A concluding session will summarize workshop takeaways and chart a path for going forward.
Speaker(s):
Speaker:
Qing Zeng, PhD, George Washington University
Speaker:
Melissa M. Goldstein, JD, George Washington University
Speaker:
Joseph Goulet, PhD, VA Connecticut/Yale University
Speaker:
Ravi Parikh, MD, Perelman School of Medicine, University of Pennsylvania
Speaker:
T. Elizabeth Workman, PhD, The George Washington University
Speaker:
Bruce Bray, MD, University of Utah
Speaker:
Yijun Shao, PhD, George Washington University
Fairness and Elimination of Bias
Ethical, Legal, Regulatory, and Social Issues
Machine Learning
Workshop - Collaborative
Location: Jefferson Ballroom
Session Code: W29
Session Credits: 3.00
|
Location: Jefferson Ballroom
Session Code: W29
Session Credits: 3.00
|
2023111208:3012:00 088
|
SUN, NOV 12
|
15DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
9873A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
Trauma and Emergency Medicine - "Like Spinning Plates"
Speaker(s):
Session Chair:
Lisa Fort
Oral Presentation
|
A Computational Framework to Evaluate Emergency Department Clinician Task Switching in the Electronic Health Record Using Event Logs
Speaker:
Amanda Moy, MPhil, MPH, MA, Columbia University Department of Biomedical Informatics
Author:
Jennifer Withall, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Eugene Kim, MD, Boston Children's Hospital
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
|
|
Information Seeking and Sensemaking in Emergency Medical Service through Simulation Video Review
Author:
Zhan Zhang, PhD, Pace University
Author:
Karen Joy, MS, Rutgers University
Author:
Aastha Bhadani, BS, Pace University
Author:
Tejas Joshi, MS, Pace University
Author:
Kathleen Adelgais, MD, University of Colorado
Speaker:
Mustafa Ozkaynak, PhD, University of Colorado-Denver | Anschutz Medical Campus
|
Location: Jefferson Ballroom
Session Code: S24
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S24
Session Credits: 1.50
|
2023111310:3012:00 007
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Systems Demo - Omics, Drug Discovery, & CDS
Speaker(s):
Session Chair:
Dokyoon Kim, PhD, University of Pennsylvania
Oral Presentation
|
An Operational and Real-Time Natural Language Processing and Deep Learning Clinical Decision Support System in the Electronic Health Record
Speaker:
Graham Wills, PhD., UW Health
Author:
Majid Afshar, MD, Msc, University of Wisconsin - Madison
Author:
Matthew Churpek, MD, MPH, PhD, University of Wisconsin-Madison
Author:
Dmitriy Dligach, PhD, Loyola University Chicago
Author:
Benjamin Schnapp
Author:
Brian Patterson, MD, University of Wisconsin
Author:
Michael Chao, PhD, Sanofi
Author:
Frank Liao, PhD, University of Wisconsin, Madison - UW Health
|
Location: Jefferson Ballroom
Session Code: S47
|
Location: Jefferson Ballroom
Session Code: S47
|
2023111315:3017:00 010
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Systems Demo - Clinical Research Informatics
Speaker(s):
Session Chair:
Mark Weiner, MD, Weill Cornell Medicine / Healthcare Policy & Research
Systems Demonstration
|
Automating Incremental ETL Processes in Snowflake for Transforming Institutional Clinical Data into the Researchable Common Data Model
Speaker:
Md Kamruz Zaman Rana, MS, University of Missouri - Columbia
Author:
Vasanthi Mandhadi, MS, University of Missouri
Author:
Lemuel Waitman, PHD, University of Missouri
Author:
Abu Mosa, PhD, MS, FAMIA, University of Missouri School of Medicine
Author:
Md Soliman Islam, MS
|
|
Centralized Interactive Phenomics Resource (CIPHER): A Platform for Electronic Health Data-Based Phenomics Science
Speaker:
Jacqueline Honerlaw, RN, MPH, VA Boston Healthcare System
Author:
Yuk-Lam Ho, MPH, VA Boston Healthcare System
Author:
Laura Davies, PMP, Oak Ridge National Laboratory
Author:
Keith Connatser, BS, Oak Ridge National Laboratory
Author:
David Heise, MS
Author:
Kelly Cho, PhD, MPH, VA Boston Healthcare System
|
Location: Jefferson Ballroom
Session Code: S56
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S56
Session Credits: 1.50
|
2023111408:3010:00 008
|
TUE, NOV 14
|
E5DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Deep Learning - "Deep Purple"
Speaker(s):
Session Chair:
Amelia Averitt, Regeneron Pharmaceuticals
Oral Presentation
|
Using Deep Learning to Estimate Corrected QT Intervals from Multi-Lead Conventional ECG in a Large Pediatric Population
Speaker:
Victor Ruiz, PhD, Children's Hospital of Philadelphia
Author:
Luiz Silva, PhD, The Children's Hospital of Philadelphia
Author:
LINGYUN SHI, MS, Children's Hospital of Philadelphia
Author:
Ivor Asztalos, MD, MSCE, The Children's Hospital of Philadelphia
Author:
Fuchiang (Rich) Tsui, PhD, Children's Hospital of Philadelphia and University of Pennsylvania
|
|
Transferable and Interpretable Treatment Effectiveness Prediction for Ovarian Cancer via Multimodal Deep Learning
Speaker:
Emily Nguyen, BA, University of Southern California
Author:
Zijun Cui, PhD, University of Southern California
Author:
James Enouen, BS, University of Southern California
Author:
Georgia Kokaraki, PhD, University of Southern California
Author:
Joseph Carlson, MD, PhD, University of Southern California
Author:
Yan Liu, PhD, University of Southern California
|
|
Split Learning for Distributed Collaborative Training of Deep Learning Models in Health Informatics
Speaker:
Zhuohang Li, MS, Vanderbilt University
Author:
Chao Yan, PhD, Department of Biomedical Informatics, Vanderbilt University Medical Center
Author:
Xinmeng Zhang, BS, Vanderbilt University
Author:
Gharib Gharibi, PhD in Computer Science, TripleBlind
Author:
Zhijun Yin, PhD, Vanderbilt University Medical Center
Author:
Xiaoqian Jiang, University of Texas Health Science Center at Houston, University of Texas Health Science Center at Houston
Author:
Bradley Malin, PhD, Vanderbilt University Medical Center
|
Location: Jefferson Ballroom
Session Code: S05
Session Credits: 1.50
|
Location: Jefferson Ballroom
Session Code: S05
Session Credits: 1.50
|
2023111215:3017:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:30 PM - 1:30 PM CST
|
|
Informatics Family Feud
Come support us at our inaugural informatics family feud event, featuring your colleagues and informatics trivia using the classic Family Feud game format.
AMIA INFORMATICS FAMILY FEUD
Informatics Families
INFORMATICS ACADEMIC LEADERS
- Bill Hersh - Oregon Health and Science University*
- Amy Sitapati - University of California San Diego
- Yves Lussier - University of Utah
- Marilyn Ritchie - University of Pennsylvania
- Peter Embi - Vanderbilt University
WORKING GROUP LEADERS
- Nick Reid - University of Washington (Student WG)*
- Diane Korngiebel - University of Washington (Ethical, Legal, and Social Issues WG)
- Kenrick Cato - Children’s Hospital of Philadelphia (Nursing Informatics WG)
- Scott McGrath - University of California Berkeley (WG Steering)
- Karmen Williams - The City University of New York (Dental Informatics WG)
INDUSTRY AND HEALTH SYSTEM INFORMATICIANS
- Christopher Longhurst - UC San Diego Health*
- Margaret Lozovatsky - Novant Health
- Charlie Harp - Clinical Architecture
- Arlene Chung - Google Health
- Jonathan Nebeker - Veterans Health Administration
INFORMATICS LEARNERS
- JaMor Hairston, University of Alabama Birmingham*
- Moira Smith - University of Virginia
- Brittany Taylor - Columbia University
- Aman Pathak - University of Florida
- Sarah Florig - Oregon Health and Science University
* (bolded) = Team Captain
Panel
Location: St. Charles Ballroom
|
Location: St. Charles Ballroom
|
2023111312:3013:30 000
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Physicians in AMIA Endorsed Panel - Informatics: Cost or Revenue Center? 3rd in a Series AMIA Shark Tank CMIO-to-CEO Resource Pitch-A-Thon
An evolving and essential skill of the clinical informaticist, CMIO, CHIO, or informatics leader, is the ability to concisely convey an informatics pitch, value proposition, and return on investment to organizational leaders in terms that they will understand, and in a manner that will resonate. This Physicians in AMIA (PINA)-endorsed panel, the 3rd in a series entitled “Informatics: Cost or Revenue Center?” consists of CMIOs and healthcare executives who will demonstrate, through an interactive Shark Tank style pitch-a-thon, some of the most effective approaches to pitching for informatics resources in often-constrained settings.
Speaker(s):
Speaker:
Deepti Pandita, MD, FACP, FAMIA, Hennepin Health
Speaker:
Randa Perkins, MD, MBA, FAMIA, Moffitt Cancer Center
Speaker:
Adam Landman, MD, MS, MIS, MHS, Mass General Brigham
Speaker:
Christopher Longhurst, MD, MS, FACMI, UC San Diego
Speaker:
Edmondo Robinson, MD, MBA, FACP, Moffitt Cancer Center
Speaker:
Benjamin Rosner, MD, PhD, FAMIA, UCSF
Speaker:
James Merlino
Healthcare Quality
Informatics Implementation
Administrative Systems
Panel
Location: St. Charles Ballroom
Session Code: S77
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S77
Session Credits: 1.50
|
2023111413:4515:15 011
|
TUE, NOV 14
|
17DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
3CDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Location: St. Charles Ballroom
Session Code: S17
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S17
Session Credits: 1.50
|
2023111308:3010:00 009
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
ACMI Collen Award Panel Presentation: Informatics Approaches to Address Epistemic Injustice for Healthcare Consumers
Twenty years ago, the AMIA 2003 Spring Congress entitled "Bridging the Digital Divide: Informatics and Vulnerable Populations" convened 178 experts to develop a framework for a national agenda in information and communication technology to enhance the health and health care of underserved populations. Efforts within health and biomedical informatics community as well as within broader society have led to some progress in empowering healthcare consumers and promoting health equity. To further this conversation within the AMIA community, this panel will specifically address epistemic injustice – wrong done to someone related to their capacity as a knower and reasoner – and the related concepts of testimonial injustice (prejudice regarding credibility of someone’s words) and hermeneutical injustice (disadvantage due to gap in collective interpretive resources). Through brief presentations and a moderated discussion, panelists will specifically discuss how informatics approaches and tools can mitigate such injustice.
Speaker(s):
Speaker:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Speaker:
Adriana Arcia, PhD, RN, FAAN, University of San Diego
Speaker:
Suzanne Bakken, PhD, RN, FAAN, FACMI, Columbia University
Speaker:
Anne Moen, University of Oslo
Speaker:
Samantha Stonbraker, PhD, MPH, RN, University of Colorado Anschutz Medical Campus
Speaker:
Tiffany Veinot, MLS, PhD, University of Michigan
Panel
Location: St. Charles Ballroom
Session Code: S26
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S26
Session Credits: 1.50
|
2023111310:3012:00 009
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 4:30 PM CST
|
|
#SMM4H 2023: The 8th Social Media Mining for Health Applications Workshop and Shared Tasks
With nearly 5 billion social media users worldwide, the vast amount of data on social media presents significant opportunities and challenges for mining it as a source of health-related knowledge discovery. The Social Media Mining for Health Applications (#SMM4H) workshop provides a forum for the AMIA community to discuss health informatics at the convergence of social media, natural language processing (NLP), and machine learning. The workshop includes presentations on 5 shared task competitions that represent a variety of social media users, languages, methods, and health-related topics: (1) binary classification of English tweets self-reporting a COVID-19 diagnosis, (2) multi-class classification of sentiment associated with therapies in English tweets, (3) extraction of COVID-19 symptoms in Latin American Spanish tweets, (4) binary classification of English Reddit posts self-reporting a social anxiety disorder diagnosis, and (5) normalization of adverse drug events in English tweets. The workshop also includes a presentation on large language models for sentiment analysis, system demonstrations, a keynote speaker from academia (Luis M. Rocha, PhD, Binghamton University, “Network Science to Model Health Vulnerabilities and Biases”), a keynote speaker from industry (Raul Rodriguez-Esteban, PhD, Roche Pharmaceuticals, “Patient Listening on Social Media for Patient-Focused Drug Development”), and a panel (“What is the future of social media data for health research?”).
Speaker(s):
Speaker:
Graciela Gonzalez-Hernandez, Ph. D., Cedars-Sinai Medical Center
Speaker:
Jesus Flores, Cedars Sinai
Speaker:
Dongfang Xu, Cedars-Sinai Medical Center
Author:
Ari Klein, PhD, University of Pennsylvania
Author:
Abeed Sarker, PhD, Emory University School of Medicine
Author:
Juan Banda, PhD, Georgia State University
Author:
Raul Rodriguez-Esteban, PhD, Roche
Author:
Pierre Zweigenbaum, PhD, Interdisciplinary Laboratory for Digital Sciences (LISN)
Speaker:
Luis Rocha
Data Mining
Informatics Implementation
Information Extraction
Workshop - Collaborative
Location: St. Charles Ballroom
Session Code: W01
Session Credits: 6.00
|
Location: St. Charles Ballroom
Session Code: W01
Session Credits: 6.00
|
2023111108:3016:30 060
|
SAT, NOV 11
|
02DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
61A568D3-7E9E-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9873A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
“The Machine Learned What about me?” - Perspectives on Patient-facing Machine Learning Algorithms
Presenting complex algorithms to patients presents many challenges but may be becoming increasingly necessary due to new data sharing principles such as the 21st century CURES Act. While these rules intend to improve patient access to data, it means patients may encounter predictive risk scores prior to discussing with their health professionals in areas such as their patient portal without any knowledge that their information was used for these purposes or how the risks may be interpreted. Therefore, there is a critical need to explore if and how this information may be conveyed in transparent, ethical, and inclusive ways. In this panel, we will explore and synthesize considerations and strategies for conveying predictive algorithms, particularly those using complex approaches like machine learning, to patient and informal care provider audiences. The information presented will involve prospectively collected data related to patient-facing AI covering concepts including but not limited to: patient perspectives on AI, ethics of patient-facing AI, use of patient-facing AI in various clinical contexts, visualizing AI output for patients, and implementation of patient-facing AI. We will then use the information presented to highlight gaps in the current landscape and discuss a research agenda for the future.
Speaker(s):
Speaker:
Natalie Benda, PhD, Columbia University School of Nursing
Author:
Meghan Reading Turchioe
Author:
Megan Salwei, PhD, Vanderbilt University Medical Center
Author:
Pooja Desai, BA, MA, Columbia University Irving Medical Center
Author:
Laurie Novak, PhD, Vanderbilt University Medical Center Dept of Biomedical Informatics
Human-computer Interaction
Machine Learning
Patient Engagement and Preferences
Panel
Location: St. Charles Ballroom
Session Code: S58
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S58
Session Credits: 1.50
|
2023111410:3012:00 001
|
TUE, NOV 14
|
18DBDCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
EA8B5E30-7D9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9173A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:30 PM CST
|
|
Location: St. Charles Ballroom
Session Code: JAMIA3
|
Location: St. Charles Ballroom
Session Code: JAMIA3
|
2023111317:3019:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Debates - Large Language Models - "What a Wonderful World"
Speaker(s):
Session Chair:
Hojjat Salmasian, MD, MPH, PhD, Children's Hospital of Philadelphia
Informatics Debate
|
Should Generative Artificial Intelligence Be Used for Patient Care?
Speaker:
Adam Wright, PhD, Vanderbilt University Medical Center
Speaker:
George Hripcsak, MD, MS, Columbia University Irving Medical Center
Speaker:
James Cimino, MD, University of Alabama at Birmingham Informatics Institute School of Medicine
Speaker:
Yaa Kumah-Crystal, MD, MPH, Vanderbilt Univeristy Medical Center
Speaker:
Jon Duke, MD, MS, Georgia Tech Research Institute
|
|
Generative Applications of Large Language Models for Medical Education and Knowledge Searching: Shall We Count on ChatGPT and Co?
Speaker:
Stéphane Meystre, Md, PhD, FACMI, FIAHSI, FAMIA, OnePlanet Research Center
Speaker:
Yanshan Wang, PhD, University of Pittsburgh
Speaker:
Kirk Roberts, PhD, School of Biomedical Informatics, University of Texas Health Science Center at Houston
Speaker:
Victor Tseng, MD, AnsibleHealth
Speaker:
William Hersh, MD, OHSU
|
Location: St. Charles Ballroom
Session Code: S105
Session Credits: 1.25
|
Location: St. Charles Ballroom
Session Code: S105
Session Credits: 1.25
|
2023111509:4511:00 006
|
WED, NOV 15
|
E9DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
AMIA 2023 CMIO Workshop: Building Leadership Skills and Managing Innovation
The AMIA CMIO Workshop at Fall Symposium supports the continuing education needs of the applied clinical informatics community. With content focusing on the operational and leadership challenges that occur on a daily basis that is updated and changed for each workshop, the faculty provide both didactic and interactive learning for Chief Medical Information Officers (CMIO), Chief Health Information Officers (CHIO), and others in similar roles who are charged with leading clinical informatics initiatives and change within their organizations. In 2023, the CMIO Workshop will focus on the theme of transformative innovation within health care systems. The structure of the workshop will include didactic and small group exercises in addition to report-outs to the larger group. An interactive audience-participation “hot topic” discussion will focus on pros and cons of conversational AI tools (such as OpenAI/ChatGPT/BingGPT, Jasper, and YouChat) and the downstream impact on medical records and information blocking regulations. The leadership didactic will be on optimizing and evaluating communication styles and how frame crucial conversations and will include a self-reflection exercise. This will lead into a case-based session on how (and why) to pitch (or not) pitch) innovation to senior executive leadership where participants in the workshop will engage each other during the group discussions to practice the concepts and teachings from the didactic sessions. All faculty have had experience with the successful introduction of innovative technologies into organizational health IT ecosystems including the use of effective story-telling and communication skills to present and receive approval for those initiatives.
Speaker(s):
Speaker:
Paul Fu, Jr., MD, MPH, City of Hope National Medical Center
Author:
Julie Hollberg, MD, Emory Healthcare
Author:
Nabile Safdar, MD, Emory Healthcare
Informatics Implementation
Teaching Innovation
Change Management
Workshop - Collaborative
Location: St. Charles Ballroom
Session Code: W24
Session Credits: 3.00
|
Location: St. Charles Ballroom
Session Code: W24
Session Credits: 3.00
|
2023111208:3012:00 083
|
SUN, NOV 12
|
1ADBDCFC-2A98-ED11-80F4-8AF502304007
48DBDCFC-2A98-ED11-80F4-8AF502304007
EA65A8AD-42A2-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Empowering Women in Biomedical Informatics: Pivoting for Success in the Post-Pandemic World
The COVID-19 pandemic and the isolation measures implemented to contain its spread have exacerbated pre-existing barriers to advancement for women in biomedical informatics. In 2020, the Women in AMIA (WIA) Networking, Mentoring, and Lifecycle Committee administered a survey to identify resources and needs to assist women in informatics. Part of this survey identified several factors impacted by the pandemic: 1) work-life boundaries disappeared and caring for family while working from home became increasingly challenging; 2) isolation, stress and safety of well-being was heightened during the pandemic impacting physical and mental health; 3) diverse working environment and modality brought unforeseen challenges in collaborations and unified communications. These challenges present an opportunity for promoting career development for women professionals in biomedical informatics. This WIA-sponsored panel brings together leaders in the field to highlight their personal experiences and strategies to support women professionals.
Speaker(s):
Speaker:
Prerna Dua, PhD, Louisiana Tech University
Speaker:
Andrew Phillips, MGH Institute of Health Professions, Massachusetts General Hospital
Speaker:
Arlene Chung, MD, MHA, MMCi, FAMIA, Google Health
Speaker:
Terika McCall, Yale School of Public Health
Speaker:
Hilda Klasky, Oak Ridge National Laboratory (ORNL) - UT Battelle
Speaker:
Paul Fu, Jr., MD, MPH, City of Hope National Medical Center
Diversity, Equity, and Inclusion
Fairness and Elimination of Bias
Surveys and Needs Analysis
Panel
Location: St. Charles Ballroom
Session Code: S27
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S27
Session Credits: 1.50
|
2023111313:4515:15 001
|
MON, NOV 13
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
15DBDCFC-2A98-ED11-80F4-8AF502304007
46DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Large Language Models in Healthcare: Opportunities and Challenges
Since the launch of ChatGPT, a significant shift in research and clinical practices has become possible. However, to fully realize the potential of large language models (LLMs) and interactive artificial intelligence (AI), there are various societal challenges that need to be addressed, including ethical development and application, such as how to handle factual accuracy and systemic biases. The objective of this panel is to introduce the audience to the opportunities and challenges, as well as the development and responsible employment of such technology in research and healthcare. It will specifically focus on the integration of LLMs into natural language processing and clinical decision-making tasks; human feedback and evaluation; the development of independent open-source LLMs; the ethical dimensions of LLMs; and academic skills and characteristics that remain essential to clinical researchers. After participating in this session, attendees should be able to understand the most important challenges facing LLMs and some of the possible solutions.
Speaker(s):
Speaker:
Yifan Peng
Author:
Yuan Luo, PhD, Northwestern University
Author:
Xia Hu, Ph.D, Rice University
Author:
Chunhua Weng, Ph.D, Columbia University
Author:
Bradley Malin, PhD, Vanderbilt University Medical Center
Deep Learning
Natural Language Processing
Ethical, Legal, Regulatory, and Social Issues
Panel
Location: St. Charles Ballroom
Session Code: S38
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S38
Session Credits: 1.50
|
2023111315:3017:00 001
|
MON, NOV 13
|
06DBDCFC-2A98-ED11-80F4-8AF502304007
24DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Leading Interoperability: ONC and CMS pave the way with LTPAC
The Office of the National Coordinator for Health Information Technology (ONC), the principal federal entity charged with coordination of nationwide efforts to advance health information technology (IT) and the electronic exchange of health information, develops and maintains the United States Core Data for Interoperability (USCDI), a baseline set of data elements for health information exchange and to inform interoperable health IT implementations. By standardizing these data elements, USCDI helps to ensure access, exchange, and use of electronic health data across health systems to improve care. For specific patient populations, like patients in long-term post-acute care (LTPAC) settings, interoperable data systems help overcome the challenges presented by complex medical journeys through frictionless sharing of data between multiple systems. This panel will discuss ONC and CMS initiatives that facilitate data standards adoption to enable interoperable health data exchange. The panel will further discuss the USCDI+ initiative which is expanding the harmonization efforts of USCDI by extending the inclusion of additional data elements within USCDI+. The panel will share how USCDI and USCDI+ support patient care, advance public health, and facilitate patient access using health IT. The panel presentations will emphasize alignment between CMS PAC initiatives and ONC USCDI.
Speaker(s):
Speaker:
Michael Wittie, ONC
Speaker:
Sara Armson, M.S., ONC
Speaker:
Brenda Akinnagbe, MPH, ONC
Speaker:
Lorraine Wickiser, BSN, RN, CMS
Interoperability and Health Information Exchange
Healthcare Quality
Data standards
Panel
Location: St. Charles Ballroom
Session Code: S91
Session Credits: 1.25
|
Location: St. Charles Ballroom
Session Code: S91
Session Credits: 1.25
|
2023111508:0009:15 003
|
WED, NOV 15
|
1FDBDCFC-2A98-ED11-80F4-8AF502304007
17DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Measuring Long Term Impact on Health Professionals’ Documentation Burden Reduction: 25x5 Task Force Logic Model, Mixed-Methods, and Innovative Approaches
Meaningful evaluation of documentation burden reduction efforts over the next 5-10 years requires longitudinal and comprehensive measurement approaches that deepen our understanding of the characteristics and experience of burden by health professionals when interacting with clinical information systems. This panel will discuss the 25x5 Task Force Logic Model and 5-year evaluation plan, along with general considerations and strategies for measuring burden reduction, including mixed-methods and innovative approaches, over the next 10 years.
Speaker(s):
Speaker:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
Speaker:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Speaker:
Thomas Kannampallil, PhD, Washington University School of Medicine
Speaker:
Amanda Moy, MPhil, MPH, MA, Columbia University Department of Biomedical Informatics
Speaker:
Judy Murphy, DN (hon), RN, Independent
Documentation Burden
Evaluation
Human-computer Interaction
Panel
Location: St. Charles Ballroom
Session Code: S49
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S49
Session Credits: 1.50
|
2023111408:3010:00 001
|
TUE, NOV 14
|
0DDBDCFC-2A98-ED11-80F4-8AF502304007
13DBDCFC-2A98-ED11-80F4-8AF502304007
18DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Responsible Implementation and Use of AI in Healthcare Organizations
Along with many potential benefits, healthcare organizations create new risks when implementing artificial intelligence (AI) tools. With a variety of frameworks and lifecycle models of AI emerging, there is a need to synthesize and make sense of the responsibilities of healthcare organizations, regulators, professional societies, and other institutions, such that the next steps are clear. This panel will lay out the current state of AI implementation and maintenance framing, tools, and guidance, and facilitate a discussion with the audience on how best to move forward.
Speaker(s):
Speaker:
Laurie Novak, PhD, Vanderbilt University Medical Center Dept of Biomedical Informatics
Speaker:
Craig Kuziemsky, PhD, MacEwan University
Speaker:
Polina Kukhareva, PhD, MPH, University of Utah
Speaker:
Peter Embi, MD, MS, Vanderbilt University Medical Center
Ethical, Legal, Regulatory, and Social Issues
Fairness and Elimination of Bias
Informatics Implementation
Panel
Location: St. Charles Ballroom
Session Code: S79
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S79
Session Credits: 1.50
|
2023111415:3017:00 002
|
TUE, NOV 14
|
14DBDCFC-2A98-ED11-80F4-8AF502304007
15DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:15 PM - 1:15 PM CST
|
|
Location: St. Charles Ballroom
Session Code: SAM1
|
Location: St. Charles Ballroom
Session Code: SAM1
|
2023111412:1513:15 000
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Documentation - "Write This Down"
Speaker(s):
Session Chair:
Victoria Tiase, PhD, RN-BC, University of Utah
Oral Presentation
|
Identifying Reuse and Redundancies in Respiratory Flowsheet Documentation: Implications for Clinician Documentation Burden
Speaker:
Jennifer Withall, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Mai Tran, BS, Department of Biomedical Informatics, Columbia University
Author:
Bobby Schroeder, BSN, RN, PCCN, NewYork-Presbyterian Hospital, Weill Cornell Medical Center
Author:
Rachel Lee, PHD, RN, Columbia University Department of Biomedical Informatics
Author:
Amanda Moy, MPhil, MPH, MA, Columbia University Department of Biomedical Informatics
Author:
Syed Mohtashim Bokhari, PhD
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
|
|
An Exclusive Covering Provider Role Improves Primary Provider Identification: Results From A Phased Implementation
Speaker:
Stephen Ma, MD, PhD, Stanford University School of Medicine
Speaker:
Stav Cullum, MD
Author:
Brian Phillips, MSN, RN, CNML
Author:
Charlene Chen, RN
Author:
Lauren Wozniak, MD
Author:
Janice Jiang, MD
Author:
Mohanad Alazzeh, MD
Author:
Kelly Darmawan, MD
Author:
Maki Nakazato, MD
Author:
Mugdha Joshi, MD, Stanford Healthcare
Author:
Arjun Gokhale, MD, Medical Board of California
Author:
Gretchen Brown, MSN, RN, NEA-BC
Author:
Matthew Eisenberg, MD, Stanford Health Care
Author:
Christopher Sharp, MD, Stanford University School of Medicine
Author:
Lisa Shieh, MD, PhD
Author:
Cliff Schmiesing, MD, Stanford Health Care
|
Location: St. Charles Ballroom
Session Code: S06
Session Credits: 1.50
|
Location: St. Charles Ballroom
Session Code: S06
Session Credits: 1.50
|
2023111215:3017:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Applications of Machine Learning - "Welcome to the Machine"
Speaker(s):
Speaker:
Majid Afshar, MD, Msc, University of Wisconsin - Madison
Oral Presentation
|
ECG-AI in Fatal Coronary Heart Disease Risk Prediction as a Proxy for Sudden Cardiac Death
Speaker:
Liam Butler, B.Sc. (Hons), M.Sc., PhD, Wake Forest University Baptist Health
Author:
Ibrahim Karabayir, PhD, Wake Forest University, School of Medicine
Author:
Turgay Celik, MD
Author:
Lokesh Chinthala, M.Sc., University of Tennessee
Author:
David D. McManus, University of Massachusetts Chan Medical School
Author:
Robert Lowell Davis, MD, MPH
Author:
David Herrington, MD, MHS
Author:
Oguz Akbilgic, DBA, PhD
|
|
Supervised Machine Learning in Late Preeclampsia Prediction: Unique Risk Factors Predictive as early as 13 WGA
Speaker:
Julie Vignato, PhD, RN, RNC-LRN, CNE, University of Iowa College of Nursing
Author:
Kelvin Encarnacao, MS
Author:
Donna Santillan, PhD, University of Iowa Hospitals and Clinics
Author:
Heath Davis, MS, FAMIA, University of Iowa, Carver College of Medicine
Author:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
Author:
Mark Santillan, MD, PhD, FACOG, FAHA3, University of Iowa Carver College of Medicine
Author:
W. Nick Street, PhD
|
Location: Churchill B1
Session Code: S72
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S72
Session Credits: 1.50
|
2023111413:4515:15 006
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Bridging the Digital Divide - "Life and How to Live It"
Speaker(s):
Session Chair:
Carolyn Petersen, Mayo Clinic
Oral Presentation
|
Auditing Learned Associations in Deep Learning Approaches to Extract Race and Ethnicity from Clinical Text
Speaker:
Oliver Bear Don't Walk, IV, PhD, University of Washington
Author:
Adrienne Pichon, MPH, MPhil, Columbia University, Department of Biomedical Informatics
Author:
Harry Reyes Nieva, MAS, MA, Columbia University
Author:
Tony Sun, MA, Columbia University Department of Biomedical Informatics
Author:
Jaan Altosaar, PhD, One Fact Foundation, University of Tartu
Author:
Karthik Natarajan, PhD, Columbia University Dept of Biomedical Informatics
Author:
Adler Perotte, MD, MA, Columbia University
Author:
Peter Tarczy-Hornoch, MD, University of Washington
Author:
Dina Demner-Fushman, PHD, National Library of Medicine
Author:
Noemie Elhadad, PhD, Columbia University Irving Medical Center
|
|
Facilitating Improved Electronic Communication Between Community-Based Organizations and Healthcare Systems to Address Patients’ Social Needs
Speaker:
Bradley Iott, PhD, MPH, University of California San Francisco
Author:
Elizabeth Sherwin, MPH, UCSF
Author:
Anurima Chattopadhyay, BS, Amherst College
Author:
Erika Brown, PhD, MPH, University of California, Berkeley
Author:
Michelle Loya-Talamantes, MPH, San Francisco Department of Public Health
Author:
Vanessa Ruiz, MA, MPH, San Francisco Department of Public Health
Author:
Jacqueline Banuelos, RN, San Francisco Department of Public Health
Author:
Rosario Sabala, MS, San Francisco Department of Public Health
Author:
Patricia Erwin, MPH, San Francisco Department of Public Health
Author:
Seth Pardo, PhD, San Francisco Department of Public Health
Author:
Elaine Khoong, MD, MS, University of California San Francisco
Author:
Courtney Lyles, PhD, UCSF
Author:
Laura Gottlieb, MD, MPH, UCSF School of Medicine
Author:
Matthew Pantell, MD, MS, UCSF
|
|
Bridging the Digital Health Divide – Patient Experiences with Mobile Integrated Health and Facilitated Telehealth by Community Level Indicators of Health Disparity
Author:
Christina McGinnis, MBS, Weill Cornell Medicine
Author:
Meghan Reading Turchioe
Author:
Ruth Masterson Creber, PhD, MSc, RN, Weill Cornell Medicine
Author:
Rahul Sharma, MD, MBA
Speaker:
Brock Daniels, MD, MPH1, Weill Cornell Medicine / NewYork Presbyterian Hospital
|
|
Imagining Improved Interactions: Patients' Designs To Address Implicit Bias
Speaker:
Connie Yang, Master of Biomedical Technology, University of Washington
Author:
Leslie Coney, Bachelor of Science, University of Washington
Author:
Deepthi Mohanraj, Bachelor of Science, University of Washington
Author:
Reggie Casanova-Perez, MS, Department of Biomedical Informatics and Medical Education, University of Washington
Author:
Emily Bascom, BS, University of Washington Information School
Author:
Niyat Efrem, N/A, University of Washington
Author:
Joseph Garcia, Master of Science, University of Washington
Author:
Janice Sabin, Doctor of Philosphy, University of Washington
Author:
Wanda Pratt, Doctor of Philosphy, University of Washington
Author:
Nadir Weibel, Doctor of Philosophy, UC San Diego
Author:
Andrea Hartzler, PhD, University of Washington
|
|
“Meditation for me is just an app in my phone”– co-designing mind-body technologies for sleep with adolescents’
Speaker:
Savitha Sangameswaran, Phdc, University of Washington, Biomedical & Health Informatics Program
Author:
Megan Laine, OD, MS, Biomedical Informatics and Medical Education, University of Washington
Author:
Nick Reid, MH, Biomedical Informatics and Medical Education, University of Washington
Author:
Serena Jinchen Xie, MS, Biomedical Informatics and Medical Education, University of Washington
Author:
Elizabeth Zampino, MS, University of Washington
Author:
Michelle Garrison, PhD
Author:
Dori Rosenberg, PhD
Author:
Jason Yip, PhD
Author:
Andrea Hartzler, PhD, University of Washington
|
|
Scale-up of an HIV-related education intervention: A hybrid type 3 effectiveness-implementation study in the Dominican Republic
Speaker:
Samantha Stonbraker, PhD, MPH, RN, University of Colorado Anschutz Medical Campus
Author:
Yazmina Espiritusanto Castro, BA, Clínica de Familia La Romana
Author:
Pamela Baez Caraballo, MD, MSc, Clínica de Familia La Romana
Author:
Stefanie Mayorga, BA, University of Colorado College of Nursing
Author:
Maria Dunn, DO, Children's Hospital of Philadelphia
Author:
Sofia Centi, MPH, University of Colorado College of Nursing
Author:
Bryan McNair, MS, Colorado School of Public Health
Author:
Jacob Michel, MSc, United States Agency for International Development
Author:
Molly Goggin-Kehm, MPH, United States Agency for International Development
Author:
Paul Cook, PhD, University of Colorado College of Nursing
|
Location: Churchill B1
Session Code: S85
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S85
Session Credits: 1.50
|
2023111415:3017:00 008
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Mixed Methods & Implementation - "I Heard it Through the Grapevine"
Speaker(s):
Session Chair:
Jorie Butler, PhD, University of Utah
Oral Presentation
|
Leveraging Clinical Informatics to Address the Quintuple Aim for End-of-Life Care
Speaker:
Amanda Zaleski, PhD, MS, Aetna
Author:
Kelly Craig, PhD, CVS Health
Author:
Eamon Caddigan, PhD, CVS Health
Author:
Hannah Yang, PhD, MBA, CVS Health
Author:
Zenon Cheng, BS, CVS Health
Author:
Sherrie McNutt, MS, APN-BC, CVS Health
Author:
Alena Baquet-Simpson, MD, CVS Health
|
|
Examining and Addressing Telemedicine Disparities Through the Lens of the Social Determinants of Health: A Qualitative Study of Patient and Provider During the COVID-19 Pandemic.
Speaker:
Christina Wang, MD, Icahn School of Medicine at Mount Sinai
Author:
Rahma Mkuu, PhD, The University of Florida
Author:
Katerina Andreadis, MS, Weill Cornell Medicine; New York University Grossman School of Medicine
Author:
Kimberly A. Muellers, MPH, MS, Icahn School of Medicine at Mount Sinai; Pace University
Author:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Author:
Carol Horowitz, MD, MPH, Icahn School of Medicine at Mount Sinai
Author:
Rainu Kaushal, M.D., Weill Cornell Medicine / Healthcare Policy & Research
Author:
Jenny J. Lin, MD, MPH, Icahn School of Medicine at Mount Sinai
|
|
Provider and Community Organization Perspectives on Healthcare-focused Human Trafficking Socio-technical Interventions in Tennessee
Speaker:
Michelle Gomez, MS, Vanderbilt University
Author:
Ellen Clayton, JD, MD, Vanderbilt University Medical Center
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
Author:
Kim Unertl, PhD, Vanderbilt University Medical Center
|
Location: Churchill B1
Session Code: S94
Session Credits: 1.25
|
Location: Churchill B1
Session Code: S94
Session Credits: 1.25
|
2023111508:0009:15 006
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Mental Health - "The Sunny Side of the Street"
Speaker(s):
Session Chair:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
Oral Presentation
|
Building a Multidisciplinary Approach to Reduce Documentation Burden in a Canadian Mental Health Setting
Speaker:
Tania Tajirian, MD, CAMH
Author:
Gillian Strudwick, PhD, Centre for Addiction and Mental Health
Author:
Brian Lo, MHI, Centre for Addiction and Mental Health
Author:
Jessica Kemp, BSc, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Uzma Haider, MSc, Centre for Addiction & Mental Health
Author:
Damian Jankowicz, PhD, CAMH
|
|
Natural Language Processing of Clinical Progress Notes Can be Used to Model Core Psychosocial Concepts in Temporal Proximity of Suicide
Author:
Esther Meerwijk, PhD, MSN, VA Palo Alto Health Care System
Author:
Asqar Shotqara, MS, VA Palo Alto Healthcare System
Author:
Cheng Chen, MS, VA Palo Alto Health Care System
Speaker:
Suzanne Tamang, PhD, Stanford University
Author:
Ruth Reeves, PhD, Vanderbilt University
Author:
Mark Ilgen, PhD, University of Michigan
Author:
Andrea Finlay, PhD, VA Palo Alto Health Care System
Author:
Alex Sox-Harris, PhD, MS, VA Palo Alto Health Care System
|
|
Social Determinants of Health and Mental Health Outcomes in Older Adults: An Analysis of All of Us COVID Survey Data
Speaker:
Phillip Ma, MD, George Washington University SMHS
Author:
Yijun Shao, PhD, George Washington University
Author:
Yan Cheng, PhD, George Washington University
Author:
Youxuan Ling, MS, George Washington University
Author:
Stuart Nelson, MD, FACP, FACMI, George Washington University
Author:
Qing Zeng, PhD, George Washington University
|
Location: Churchill B1
Session Code: S31
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S31
Session Credits: 1.50
|
2023111313:4515:15 005
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Infectious Disease/Sepsis - "Fever"
Speaker(s):
Speaker:
Mark Parkulo, Mayo Clinic Jacksonville
Oral Presentation
|
From Single Predictor to Two-Stage Screening Pipeline: Advancing NICU Sepsis Prediction for Improved Clinical Outcomes
Speaker:
Lusha Cao, PhD, Children's Hospital of Philadelphia
Author:
Aaron Masino, PhD
Author:
Lyle Ungar, PhD, University of Pennsylvania
Author:
Elease McLaurin, PhD, The Children’s Hospital of Philadelphia
Author:
Gerald Shaeffer, MHI, Childrenís Hospital of Philadelphia
Author:
Lakshimi Srinivasan, MD, The Children’s Hospital of Philadelphia
Author:
Dean Karavite, MSI
Author:
Alexander Fidel, MHI, The Children’s Hospital of Philadelphia
Author:
Mary Catherine Harris, MD, The Children’s Hospital of Philadelphia
Author:
Robert Grundmeier, M.D., None
|
|
Human Performance Evaluation of Machine Learning Based Clinical Decision Support: A Pediatric Sepsis Use Case
Speaker:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
Author:
Naveen Muthu, MD, Children's Healthcare of Atlanta
Author:
Edwin Ray, RN, Childrens Healthcare of Atlanta
Author:
Rebekah Carter, RN, Childrens Healthcare of Atlanta
Author:
Reena Blanco, MD, Emory University
Author:
Thuy Bui, MD, Childrens Healthcare of Atlanta
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
|
|
An Empirical Analysis of Deep Transfer Learning for Infectious Disease Case Detection
Speaker:
Ye Ye, PhD, University of Pittsburgh, Department of Biomedical Informatics
Author:
Qi Li, PhD, SUNY New Paltz
Author:
Andrew Gu, MS, Carnegie Mellon University
Author:
Ai Ren, PhD, SUNY New Paltz
Author:
Disheng Liu, MS, University of Pittsburgh
Author:
Yuhe Gao, MS, University of Pittsburgh
Author:
Junshang Jia, BS, University of Pittsburgh
Author:
Michael Becich, MD, PhD, University of Pittsburgh School of Medicine
Author:
Per Gesteland, MD, MSc, University of Utah, Division of Inpatient Medicine
Author:
Jeffrey Ferraro, PhD, Division of Epidemiology, Department of Internal Medicine, Spencer Fox Eccles School of Medicine, Un
Author:
Peter Haug, MD, Intermountain Health Care, Intermountain Medical Center Facility
Author:
Runxue Bao, PhD, University of Pittsburgh
Author:
Yuelyu Ji, MS, University of Pittsburgh
Author:
Gregory Cooper, MD, PhD, University of Pittsburgh
|
|
Enabling a Learning Public Health System: Enhanced Surveillance of Sexually Transmitted Infections
Speaker:
Harry Reyes Nieva, MAS, MA, Columbia University
Author:
Jason Zucker, MD, MS, Columbia University Irving Medical Center
Author:
Emma Tucker, BS, Columbia University
Author:
Delivette Castor, PhD, Columbia University Irving Medical Center
Author:
Michael Yin, MD, MS, Columbia University Irving Medical Center
Author:
Peter Gordon, MD, Columbia University Irving Medical Center
Author:
Noemie Elhadad, PhD, Columbia University Irving Medical Center
|
Location: Churchill B1
Session Code: S07
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S07
Session Credits: 1.50
|
2023111215:3017:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Prediction Methods - "Let X=X"
Speaker(s):
Session Chair:
Patrick Lyons
Oral Presentation
|
Probabilistic Prediction of Laboratory Test Information Yield
Speaker:
Yixing Jiang, BEng, Stanford University
Author:
Andrew Lee, BS, Stanford University
Author:
Xiaoyuan Ni, BS, Stanford University
Author:
Conor Corbin, B.S.
Author:
Jeremy Irvin, MS, Stanford University
Author:
Andrew Ng, PhD, Stanford University
Author:
Jonathan Chen, MD PhD, Stanford University Hospital
|
|
GAT-SIM: A Patient Similarity Network Combined with Graph Attention Network for Home Healthcare Hospitalization or ED Visits Risk Prediction
Speaker:
Zidu Xu, MMed, BS, Columbia University
Author:
Lauren Evans, DrPH, Center for Home Care Policy & Research, VNS Health
Author:
Maxim Topaz, PhD, RN, Columbia University School of Nursing
Author:
Anahita Davoudi, PhD, VNS Health
Author:
Jingjing Shang, PhD, RN, Columbia University
|
|
Algorithmic reliability and dataset shift in a national readmission and mortality prediction algorithm
Speaker:
Likhitha Kolla, B.S., Perelman School of Medicine, University of Pennsylvania
Author:
Ravi Parikh, MD, Perelman School of Medicine, University of Pennsylvania
Author:
Jinbo Chen, PhD, Perelman School of Medicine, University of Pennsylvania
Author:
Sae-Hwan Park, PhD
Author:
Kristin Linn, PhD
Author:
Amol Navathe, MD, PhD
Author:
Craig Kreisler, MPH
Author:
Christopher B. Roberts, MPH
|
Location: Churchill B1
Session Code: S102
Session Credits: 1.25
|
Location: Churchill B1
Session Code: S102
Session Credits: 1.25
|
2023111509:4511:00 003
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
‘Lower-Tech’ Solutions to Advance Health Informatics in Low Resource Settings
Health systems in low-to-middle-income countries face many barriers to providing universal, high-quality healthcare. Incorporating low-cost health information technology can support health surveillance and decision-making in low-to-middle-income countries, which can lead to improved health outcomes. In this panel, we will explore this topic from several dimensions by discussing ongoing research projects in low-to-middle-income countries across three continents, including Ethiopia, Myanmar, India, and Argentina. In addition to involving lower resource settings, each area has experienced humanitarian issues related to civil unrest, refugee crises, and climate change. We will present primary data from studies that involve co-designing health information technologies with healthcare professionals, community members, and local policy makers and leaders. The audience will engage in interactive discussions with the panel exploring strategies for developing and implementing health information technology in complex and often under-resourced environments to ensure their health information technology matches user needs and the intended environment.
Speaker(s):
Speaker:
Kylie Dougherty, RN, BSN, MPhil, Northwestern University
Author:
Yashika Sharma, MPhil, MSN, RN
Author:
Sakie Zawtha, MD
Author:
Sarah Iribarren, PhD, RN, University of Washington
Speaker:
Olivia Velez, PhD, MS, MPH, RN, IntraHealth International
Global Health
Population Health
Participatory Approach/Science
Panel
Location: Churchill B1
Session Code: S50
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S50
Session Credits: 1.50
|
2023111408:3010:00 002
|
TUE, NOV 14
|
16DBDCFC-2A98-ED11-80F4-8AF502304007
2EDBDCFC-2A98-ED11-80F4-8AF502304007
26DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9673A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Building (inter)national phenotype libraries
Phenotyping has been recognized as one of the major fields in medical informatics today, bringing together epidemiology, health informatics, machine learning, and clinical and health services research. However, traditionally, phenotypes specifying patient populations with one or more conditions would only get published within a scientific paper in a narrative form that cannot be easily replicated and reused. Publicly available phenotype libraries offer a way to increase portability and reproducibility, by treating phenotypes as digital objects, but they tend to be embedded into a single research community, with its own biases, practices, assumptions, and technical design choices. In this panel, researchers from US and UK will share their thoughts on how to overcome these limitations to create national and international phenotype repositories that can support large-scale projects and collaborations.
Speaker(s):
Speaker:
Vasa Curcin, PhD, FAMIA, King's College London
Speaker:
Laura Wiley, PhD, University of Colorado
Speaker:
Martin Chapman, PhD, King's College London
Speaker:
Spiros Denaxas, PhD, University College London
Speaker:
Mark Weiner, MD, Weill Cornell Medicine / Healthcare Policy & Research
Phenomics and Phenome-wide Association Studies
Knowledge Representation and Information Modeling
Reproducibility
Panel
Location: Churchill B1
Session Code: S39
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S39
Session Credits: 1.50
|
2023111315:3017:00 002
|
MON, NOV 13
|
2DDBDCFC-2A98-ED11-80F4-8AF502304007
20DBDCFC-2A98-ED11-80F4-8AF502304007
35DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Clinical Data in the Semantic Web: from Representation to Interpretation
This half-day instructional workshop is a hands-on introduction to FHIR RDF and related technologies. It will provide an overview for the FHIR RDF structure, how to move to and from the FHIR RDF format, and how to apply semantic technologies such as ShEx, ShExMap, and OWL to validate and transform RDF content and reason over it. In particular, this tutorial will focus on using FHIR-based technologies for OWL-based patient cohort identification for inclusion in clinical trials (more advanced users may wish to use other types of classification techniques). The workshop is targeted for researchers, clinical informaticists, clinicians, IT Technologists, and healthcare decision-makers in health information technology with some basic knowledge of FHIR. Prior knowledge of RDF and OWL is a plus but not necessary. No prior knowledge of ShEx and ShExMap is required.
Speaker(s):
Speaker:
Claude Nanjo, M.A.A.S, M.P.H, Biomedical Informatics Department, University of Utah
Speaker:
Eric Prud'hommeaux, B.S.M.E., W3C/MIT
Clinical Decision Support
Controlled Terminologies, Ontologies, and Vocabularies
Interoperability and Health Information Exchange
Workshop - Instructional
Location: Churchill B1
Session Code: W15
Session Credits: 3.00
|
Location: Churchill B1
Session Code: W15
Session Credits: 3.00
|
2023111113:0016:30 074
|
SAT, NOV 11
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
01DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
Communicating Your Science to the Lay Public: A 3-Hour Instructional Workshop
SOLD OUT
Science communication is the art and science of conveying scientific information to non-expert audiences in an accessible and engaging manner. Effective science communication is essential to help people understand scientific concepts and their impact on society. Importantly, science communication has a robust evidence base.1 Skills about communicating numeric information clearly, the appropriate use of graphics and other forms of digital media, and understanding how to address misinformation about a particular topic are addressed in the literature but rarely taught in data science and informatics curricula. In this first-of-its-kind AMIA instructional workshop, informatics and science communication researchers will provide evidence-based and pragmatic information to the participants. Communicating Your Science (CYS) will be highly interactive. Instructors will facilitate hands-on exercises to improve science communication in written, graphical, and social media-ready formats. Drawing from recently published guidance specific to data science, along with multiple examples from the published literature about health communication, the presentations will demonstrate best practices and alert participants to common errors to avoid in reporting research to the lay public.
Speaker(s):
Speaker:
Kevin Johnson, MD, MS, FACMI, FAMIA, FIAHSI, University of Pennsylvania
Speaker:
Stephanie Castillo, PhD, PhutureDoctors
Speaker:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Delivering Health Information and Knowledge to the Public
Workshop - Instructional
Location: Churchill B1
Session Code: W25
Session Credits: 3.00
|
Location: Churchill B1
Session Code: W25
Session Credits: 3.00
|
2023111208:3012:00 084
|
SUN, NOV 12
|
08DBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Development and Application of Social Determinants of Health Data
SOLD OUT
Integrating social risk data into the EHR and implementing social care interventions are critical to mitigate the impact of social risk factors, predict health care utilization and health outcomes. Developing innovative methodologies while leveraging data and digital approaches to identifying health-related social needs will drive the safety, efficiency, effectiveness, and sustainability of healthcare delivered. Substantial national efforts are underway to advance SDOH interoperability and enable the collection and use of social risk data. Notably, the Gravity Project is a national public collaborative that develops consensus-based data standards to improve use and sharing of social risk data. To this end the Gravity Project’s terminology workstream has developed multiple value sets for exchanging data across 17 domains of social risk. Informed by this body of work a group of experts facilitated a conceptual exploration of social risk data at the NIWG-endorsed workshop at the 2022 Annual Symposium. Building on that, this collaborative workshop will: 1) explore the current state-of-the-science related to social risk data, 2) identify immediate priority data elements to enhance the sharing and use of social risk data, 3) advance the conceptualization and application of these elements, and 4) chart a path forward to promote the use of social risk data beyond the meeting. The goal is to engage participants in an applied discussion with fellow colleagues to co-create a vision and strategy for social risk data within informatics. This workshop aims to move from conceptualization to application, with plans to continue building towards social care interventions in future workshops.
Speaker(s):
Speaker:
Ragnhildur Bjarnadottir, PhD, MPH, RN, University of Florida
Speaker:
Lois Walters-Threat, DNP, MS, RN-BC, American Nurses Credentialing Center
Speaker:
Andrew Reimer, PhD, RN, Case Western Reserve University
Speaker:
Robin Austin, PhD, DNP, DC, RN-BC, FAMIA, FNAP, University of Minnesota, School of Nursing
Speaker:
Michelle Dardis, MSN, MBA, RN, The Joint Commission
Speaker:
Susan Hull, MSN, RN-BC, NEA-BC, FAMIA, MITRE Corporation
Speaker:
Karen Dunn Lopez, PhD, MPH, RN, FAAN, University of Iowa College of Nursing
Speaker:
Erin Van Dyke, PhD, MSIS
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Lynda Hoeksema, DNP, FNP-BC, RN-BC, FAMIA, ACHIP, MITRE Corporation
Diversity, Equity, and Inclusion
Controlled Terminologies, Ontologies, and Vocabularies
Interoperability and Health Information Exchange
Workshop - Collaborative
Location: Churchill B1
Session Code: W08
Session Credits: 1.50
|
Location: Churchill B1
Session Code: W08
Session Credits: 1.50
|
2023111108:3012:00 067
|
SAT, NOV 11
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
01DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9C73A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Pharmacoinformatics - "Secret Medicine"
Speaker(s):
Session Chair:
Joseph Romano, University of Pennsylvania
Oral Presentation
|
Sanofi Genetic Data Lake: Combining genomic data, clinical phenotypes and statistical genetics to enable therapeutic target discovery at scale
Speaker:
Clement Chatelain, PhD, Sanofi
Author:
Samuel Lessard, PhD, Sanofi
Author:
Michael Chao, PhD, Sanofi
Author:
Mathieu Beauvais, ., Sanofi
Author:
Katherine Klinger, PhD, Sanofi
Author:
Shameer Khader, PhD, Sanofi
Author:
Emanuele de Rinaldis, PhD, Sanofi
|
|
Leveraging Electronic Medical Records For Drug Discovery and Validation: Investigating the Role of Individual Statins in COVID-19
Speaker:
Tomiko Oskotsky, MD, UCSF
Author:
Ivana Maric
Author:
Megan Sperry
Author:
Alice Tang, BS, UCSF
Author:
Boris Oskotsky, PhD
Author:
Idit Kosti, PhD, University of California San Francisco
Author:
Brian Le, PhD, University of California San Francisco
Author:
Ronald Wong
Author:
Nima Aghaeepour, PhD, Stanford University
Author:
David Stevenson, MD, Stanford University
Author:
Donald Ingber
Author:
Richard Novak
Author:
Marina Sirota, PhD, University of California, San Francisco
|
|
Development of pharmacological statin-associated muscle symptoms phenotyping algorithms using electronic health records data
Speaker:
Boguang Sun, PharmD, Department of Experimental and Clinical Pharmacology
Author:
Pui Ying Yew, B.S., Institute for Health Informatics, University of Minnesota
Author:
Chih-Lin Chi, PhD, Institute for Health Informatics, University of Minnesota
Author:
Meijia Song, B.S., School of Nursing, University of Minnesota
Author:
Matthew Loth, PhD, Institute for Health Informatics (IHI), University of Minnesota
Author:
Rui Zhang, PhD, University of Minnesota, Twin Cities
Author:
Robert Straka, PharmD, University of Minnesota
|
|
Drug Safety Surveillance with EHR Data – A Promise Not Yet Fulfilled
Speaker:
Joshua Smith, PhD, Vanderbilt University Medical Center
Author:
Luke Zabotka, BA, Brigham and Women’s Hospital
Author:
Rishi Desai, PhD, Brigham and Women's Hospital
Author:
Shirley Wang, Ph.D., Harvard Medical School/Brigham & Women's
Author:
Judith Maro, PhD
Author:
Kevin Coughlin, MA, Harvard Pilgrim Health Care Institute
Author:
Jose Hernandez-Munoz, PhD, US Food and Drug Administration
Author:
Danijela Stojanovic, PharmD, PhD, US Food and Drug Administration
Author:
Nigam Shah, MBBS, PhD, Stanford University
Author:
Sharon Davis, PhD, Vanderbilt University Medical Center
|
Location: Churchill B1
Session Code: S16
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S16
Session Credits: 1.50
|
2023111308:3010:00 008
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
Disability and Justice Informatics - "Pride (In the Name of Love)"
Speaker(s):
Session Chair:
Rupa Valdez, University of Virginia
Oral Presentation
|
Promoting Equity in Clinical Research: The Role of Social Determinants of Health
Speaker:
Yilu Fang, MA, Columbia University Department of Biomedical Informatics
Author:
Betina Idnay, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Edward Stanley, Senior Manager, Research Compliance Applications, Columbia University
Author:
Brenda Ruotolo, BA, Columbia University
Author:
Wendy Chung, MD, PhD, Columbia University
Author:
Karen Marder, MD, MPH, Columbia University
Author:
Chunhua Weng, Ph.D, Columbia University
|
|
Deep Representations of First-person Pronouns for Prediction of Depression Symptom Severity
Speaker:
Xinyang Ren, BS, University of Washington Biomedical Informatics and Medical Education department
Author:
Xinyang Ren, BS, University of Washington Biomedical Informatics and Medical Education department
Author:
Hannah Burkhardt, PhD, University of Washington, Biomedical & Health Informatics
Author:
Thomas Hull, PhD, Talkspace
Author:
Patricia Areán, PhD, University of Washington Department of Psychiatry and Behavioral Sciences
Author:
Trevor Cohen, MBChB, PhD, Biomedical Informatics and Medical Education, University of Washington
|
|
Synthesizing Gaps and Priorities for a Justice Informatics Research Agenda
Author:
Adrienne Pichon, MPH, MPhil, Columbia University, Department of Biomedical Informatics
Author:
Salvatore Volpe, MA, SUNY Downstate Health Sciences University
Speaker:
Aparajita Kashyap, BA, Columbia University Department of Biomedical Informatics
Speaker:
Pooja Desai, BA, MA, Columbia University Irving Medical Center
Author:
Tara Anand, MA, Columbia University Irving Medical Center
Author:
Elizabeth Campbell, MS, MSPH, PhD, Columbia University Department of Biomedical Informatics
Author:
Kayla Schiffer, MA, Columbia University
Author:
Courtney Diamond, MA, Columbia University Irving Medical Center
Author:
Bria Massey
Author:
Christopher Allsman, BA
Author:
Abigail Newbury, BA, Columbia University Department of Biomedical Informatics
Author:
Lauren Richter, MD, MA, Columbia University Irving Medical Center
Author:
Tiffani Bright, PhD, FACMI
Author:
Suzanne Bakken, PhD, RN, FAAN, FACMI, Columbia University
Author:
Oliver Bear Don't Walk, IV, PhD, University of Washington
|
Location: Churchill B1
Session Code: S23
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S23
Session Credits: 1.50
|
2023111310:3012:00 006
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Remote Monitoring & Telehealth - "Far Away"
Speaker(s):
Session Chair:
Saif Khairat, University of North Carolina Chapel Hill
Oral Presentation
|
Assessing Telemedicine Competencies: Developing and Validating Learner Measures for Simulation-Based Telemedicine Training
Speaker:
Blake Lesselroth, MD, MBI, FACP, FAMIA, University of Oklahoma School of Community Medicine
Author:
Helen Monkman, PhD, University of Victoria
Author:
Ryan Palmer, EdD, MFA, MKP Creative
Speaker:
Craig Kuziemsky, PhD, MacEwan University
Author:
Andrew Liew, MD, University of Oklahoma
Author:
Kristin Rodriguez, MPH, University of Oklahoma School of Community Medicine, Tulsa - - Tulsa, OK
Author:
Deirdra Kelly, BA, University of Oklahoma School of Community Medicine, Tulsa - - Tulsa, OK
Author:
Ainsly Wolfinbarger, BS, University of Oklahoma School of Community Medicine, Tulsa - - Tulsa, OK
Author:
Frances Wen, PhD, Department of Family & Community Medicine, OU-TU School of Community Medicine
Author:
Liz Kollaja, MHR, University of Oklahoma School of Community Medicine
Author:
Shannon Ijams, MPAS, PA-C, University of Oklahoma, Tulsa
Speaker:
Juell Homco, PhD, MPH, University of Oklahoma School of Community Medicine
|
|
Experiences and Perceptions of Distinct Telehealth Delivery Models for Remote Patient Monitoring among Older Adults in the Community
Author:
Zhan Zhang, PhD, Pace University
Author:
Jina Huh-Yoo, PhD, Drexel University
Speaker:
Karen Joy, MS, Rutgers University
Author:
Monica Angeles, MPH, San Diego State University
Author:
David Sachs, EdD, Pace University
Author:
John Migliaccio, PhD, Telehealth Intervention Program for Seniors
Author:
Melody Schiaffino, PhD, MPH, San Diego State University College of Health and Human Services, University of California San Diego
|
|
Conjoint and Latent Class Analysis of Remote Care Preferences for Tailored Hypertension Management Among Adult Patients
Speaker:
Aaron Tierney, PhD, Kaiser Permanente Division of Research
Author:
Timothy Brown, PhD, UC Berkeley School of Public Health
Author:
Adrian Aguilera, PhD, UC Berkeley School of Social Welfare
Author:
Stephen Shortell, PhD, MBA, MPH, UC Berkeley School of Public Health
Author:
Hector Rodriguez, PhD, MPH, UC Berkeley School of Public Health
|
|
Pilot Implementation of a Post-Surgical Remote Wound Monitoring Program
Speaker:
Heather Evans, MD, MS, FACS, Ralph H. Johnson VA Medical Center
Author:
Cheryl Hamill, MS, RN, Ryan White Wellness Center
Author:
Michael Aiken, BS, MUSC
Author:
Jasmine Richards, MS, MUSC
Author:
Kenneth Catchpole, PhD, MUSC
Author:
Lynne Nemeth, PhD, RN, FAAN, QI Consults LLC
|
Location: Churchill B1
Session Code: S62
Session Credits: 1.50
|
Location: Churchill B1
Session Code: S62
Session Credits: 1.50
|
2023111410:3012:00 005
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Documentation of Social Determinants of Health - "All of Me"
Speaker(s):
Session Chair:
Lisa Fort
Oral Presentation
|
User Guide for Social Determinants of Health Survey Data in the All of Us Research Program
Speaker:
Caitlin Dreisbach, PhD, RN, University of Rochester
Author:
Susan Grayson, BSN, RN, University of Pittsburgh
Author:
Maichou Lor, PhD, RN, University of Wisconsin-Madison
Author:
Katelyn Leggio, MSN, RN
Author:
Alex Conway, MS
Author:
Theresa Koleck, PhD, RN, University of Pittsburgh
|
Location: Churchill C1
Session Code: S73
Session Credits: 1.50
|
Location: Churchill C1
Session Code: S73
Session Credits: 1.50
|
2023111413:4515:15 007
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
AMIA Industry Partner Council Invited Session: Latest Developments in AI - An Industry Perspective
The latest developments in artificial intelligence, such as generative AI and large language models, create both opportunities and risks in the healthcare industry. On this panel, members of AMIA’s Informatics Partnership Council will provide an industry perspective on novel use cases and safety concerns regarding the use of AI. Possible use cases include evidence synthesis, protocol writing, literature review, document search, phenotype standardization, protein sequence generation, EHR data summarization, management of EHR inboxes, physician-patient communication, physician documentation, and other workflow efficiencies. However, organizations using AI in healthcare need systems in place to ensure the safe, ethical, and effective use of these new technologies. These systems may include legal and regulatory guidance, clinician training and clear AI documentation. The panel will also discuss possible unintended consequences of AI, such as physician efficiency gains leading to higher patient volume rather than more time with each patient.
Speaker(s):
Speaker:
Howard Strasberg, MD, MS, Wolters Kluwer Health
Speaker:
John Cai, Merck
Speaker:
Michael Cantor, Regeneron Pharmaceuticals
Speaker:
Kelly Craig, PhD, CVS Health
Speaker:
David Little, Epic
Panel
Location: Churchill C1
Session Code: S36
Session Credits: 1.50
|
Location: Churchill C1
Session Code: S36
Session Credits: 1.50
|
2023111313:4515:15 010
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Education - "Teach Me Tonight"
Speaker(s):
Session Chair:
William Hersh, MD, OHSU
Oral Presentation
|
Bridging the Skills Gap: Evaluating an AI-Assisted Provider Platform to Support Care Providers with Empathetic Delivery of Protocolized Therapy
Speaker:
William Kearns, Ph.D., Headspace
Author:
Alex Marin
Author:
Yinzhou Wang
Author:
Weichao Yuwen, Ph.D., RN
Author:
Myra Divina, MS, BS, University of Washington
Author:
Trevor Cohen, MBChB, PhD, Biomedical Informatics and Medical Education, University of Washington
Author:
Jessica Bertram
Author:
Lauren Kemp
|
|
Identifying Informatics Feedback Tools for Assessing Diagnostic Performance: A Scoping Review and the Development of GoodDx.org
Author:
Grace Krueger, MPH, UCSF
Author:
Sarah Rosenthal, BA, UCSF
Author:
Jake Joseph, BA, UCSF
Speaker:
Benjamin Rosner, MD, PhD, FAMIA, UCSF
|
|
GRExit in Biomedical Informatics: One Program’s Experience with Moving Away from Use of the GRE in Graduate Admissions
Speaker:
Kim Unertl, PhD, Vanderbilt University Medical Center
Author:
Cynthia Gadd, PhD, Vanderbilt University Medical Center
Author:
Rischelle Jenkins, BA
Author:
Bradley Malin, PhD, Vanderbilt University Medical Center
Author:
Michael Matheny, MD, MS, MPH, Vanderbilt University Medical Center
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Leigh Anne Tang, MS
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
Author:
Wei-Qi Wei, MD, PhD, Vanderbilt University Medical Center
Author:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
|
|
Clinical Informatics Fellowships: A National Survey of Program Directors
Author:
Tushar Patel, MD, University of Illinois at Chicago
Speaker:
Aaron Chaise, MD, University of Illinois at Chicago
Author:
John Hanna, MD, University of Texas Southwestern
Author:
Kunal Patel, MD, University of Illinois at Chicago
Author:
Christoph Lehmann, MD, UT Southwestern Medical Center
|
|
Impact of COVID-19 on Gender Representation in U.S. Biomedical Informatics Leadership and Recognition
Speaker:
Vickie Nguyen, PhD, MA, MS, Bold Insight
Author:
Ashley Griffin, PhD, Veterans Affairs Palo Alto Health Care System & Stanford University
Author:
Marisa Conte, University of Michigan
Author:
Tasneem Motiwala, OSU, Dept Biomedical Informatics
Author:
Sullafa Kadura, University of Rochester Medical Center
Author:
Jacqueline You, Boston Medical Center / Boston University
Author:
Carolyn Sun, PhD, RN, ANP-BC, FAAN, Hunter College
Author:
Kathryn Kuttler, Intermountain Healthcare
Author:
Xia Jing, Clemson University
Author:
Megan Gregory, University of Florida
Author:
Andrea Hartzler, PhD, University of Washington
Author:
Katherine Kim, PhD, MPH, MBA, FAMIA, MITRE Corporation
Author:
Ece Uzun, MS, PhD, Lifespan/Brown University
Author:
Pei-Yun Hsueh, PhD, FAMIA, Pfizer
|
Location: Churchill C1
Session Code: S86
Session Credits: 1.50
|
Location: Churchill C1
Session Code: S86
Session Credits: 1.50
|
2023111415:3017:00 009
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Applied Prediction Models - "The Modern Things"
Speaker(s):
Session Chair:
Hongfang Liu, PhD, Mayo Clinic
Oral Presentation
|
Artificial intelligence system for the automatic measurement of spinopelvic alignment parameters in spine x-rays based on landmarks localization
Author:
Bruno Cruz Franchi, ME, Hospital Italiano de Buenos Aires
Author:
Santiago Hem, MD PhD, Hospital Italiano de Buenos Aires
Author:
Fernando Padilla, MD, Hospital Italiano de Buenos Aires
Author:
Federico Landriel, MD, Hospital Italiano de Buenos Aires
Author:
Candelaria Mosquera, ME, Hospital Italiano de Buenos Aires
Author:
Martina Aineseder, MD
Speaker:
Sonia Benítez, MD, HIBA
|
|
Development and validation of a machine-learning model to predict cochlear implant eligibility from routine audiogram data
Speaker:
Santiago Romero Brufau, MD, PhD, Mayo Clinic
Speaker:
Valentina Carducci, MS, Mayo Clinic
Author:
Nicholas Deep, MD, Mayo Clinic
Author:
Melissa DeJong, AuD, Mayo Clinic
Author:
Gayla Poling, PhD, Mayo Clinic
Author:
Matthew Carlson, MD, Mayo Clinic
|
Location: Churchill C1
Session Code: S92
Session Credits: 1.25
|
Location: Churchill C1
Session Code: S92
Session Credits: 1.25
|
2023111508:0009:15 004
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Genomic Medicine - "One and Only"
Speaker(s):
Session Chair:
Yves Lussier, University of Utah
Oral Presentation
|
HerediGene Population Study IT infrastructure: A model to support genomic research recruitment and precision public health
Speaker:
David Taylor, PhD, Intermountain Health
Author:
Bret Heale, Phd, Humanized Health Consulting
Author:
Benjamin Chisum, BS, Intermountain Healthcare
Author:
Bryce Christensen, PhD
Author:
Darin F. Wilcox, MSIS
Author:
Kevin Banks, PhD
Author:
Jacob Tripp, PhD, Intermountain Healthcare
Author:
Teresa Liu, MPH, CCRP
Author:
James Ruesch, MBA, CCRP
Author:
Travis Sheffield, MBA
Author:
Jesse Breinholt, PhD
Author:
Clay Harward, BEc, BMath
Author:
Erin Hakoda, BS
Author:
Ted May, BS
Author:
Joshua Bonkowsky, MD, PhD
Author:
Nephi Walton, MD, MS, FACMG, Intermountain Healthcare
Author:
Howard McLeod, PharmD, Intermountain Health
Author:
Lincoln Nadauld, MD, PhD
Author:
Pallavi Ranade, PhD, MS, FAMIA, Intermountain Healthcare
|
|
Addressing Translational Challenges in an Enterprise-Wide Precision Medicine Initiative Using FHIR-based Middleware
Speaker:
Leslie Lenert, MD, MS, FACP< FACMI, Medical University of South Carolina
Author:
Wei Ding, MS, Medical University of South Carolina
Author:
Ekaterina Pekar, M.S., Medical University of South Carolina
Author:
Bryan "Buck" Rogers, BA, Medical University of South Carolina
Author:
Caitlin Allen, PhD, MPH, MUSC
Author:
Amy Jackson, MHA, MUSC Health
Author:
Daniel Judge, MD, Medical University of South Carolina
|
Location: Churchill C1
Session Code: S08
Session Credits: 1.50
|
Location: Churchill C1
Session Code: S08
Session Credits: 1.50
|
2023111215:3017:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Precision Medicine and Disease Subtyping - "Just You, Just Me"
Speaker(s):
Session Chair:
Linying Zhang, MS, Washington University in St. Louis
Oral Presentation
|
Identification of Outcome-Oriented Progression Subtypes from Mild Cognitive Impairment to Alzheimer’s Disease Using Electronic Health Records
Speaker:
Jie Xu, PhD, University of Florida
Author:
Rui Yin, PhD, University of Florida
Author:
Yu Huang, PhD, University of Florida
Author:
Hannah Gao, SSD, Hamilton Southeastern High School
Author:
Yonghui Wu, PhD, University of Florida
Author:
Jingchuan Guo, PhD, University of Florida
Author:
Glenn E Smith, PhD, ABPP, University of Florida
Author:
Steven T DeKosky, MD, University of Florida
Author:
Fei Wang, PhD, Weill Cornell Medicine
Author:
Yi Guo, PhD, University of Florida
Author:
Jiang Bian, PhD, University of Florida
|
|
Subtyping Gastrointestinal Surgical Outcomes from Real World Data: A Comprehensive Analysis of UK Biobank
Speaker:
Uri Kartoun, PhD FAMIA, IBM Research
Author:
Kingsley Njoku
Author:
Tesfaye Yadete
Author:
Sivan Ravid, MSc, IBM Research
Author:
Koski Eileen, MPhil, IBM Research
Author:
William Ogallo, RPh PhD, IBM Research | Africa
Author:
Joao Bettencourt-Silva, PhD, IBM Research
Author:
Natasha Mulligan, MSc
Author:
Jianying Hu, PhD, IBM Research
Author:
Julia Liu
Author:
Thaddeus Stappenbeck
Author:
Vibha Anand, PhD, IBM Research
|
|
A Personalized Treatment Selection Algorithm for Crohn’s Disease
Speaker:
Vivek Rudrapatna, MD PhD, UCSF
Author:
Vignesh Ravindranath, MSE, UCSF
Author:
Doug Arneson, PhD, UCSF
Author:
Arman Mosenia, MD, University of Texas, Austin
Author:
Atul Butte, MD PhD, UCSF
Author:
Shan Wang, PhD, USF
|
|
A Framework for Developing Clinical Decision Support Tools in Home Health Care Patients with Heart Failure based on Time-Series Risk Models
Speaker:
Sena Chae, PhD., RN, University of Iowa
Author:
Anahita Davoudi, PhD, VNS Health
Author:
Jiyoun Song, PhD, AGACNP-BC, RN, University of Pennsylvania School of Nursing
Author:
Lauren Evans, DrPH, Center for Home Care Policy & Research, VNS Health
Author:
Mollie Hobensack, MPhil, BSN, RN, Icahn School of Medicine at Mount Sinai
Author:
Kathy Bowles, PhD, RN, University of Pennsylvania
Author:
Margaret McDonald, MSW, Center for Home Care Policy & Research, VNS Health
Author:
Yolanda Barrón, MS
Author:
Danielle Scharp, MSN, RN, Columbia University
Author:
Sungho Oh, PhD, RN, University of Pennsylvania School of Nursing
Author:
Se Hee Min, PhD, RN, Columbia University School of Nursing
Author:
Maxim Topaz, PhD, RN, Columbia University School of Nursing
|
Location: Churchill C1
Session Code: S103
Session Credits: 1.25
|
Location: Churchill C1
Session Code: S103
Session Credits: 1.25
|
2023111509:4511:00 004
|
WED, NOV 15
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Climate Health Informatics: Design Workshop to Accelerate Action
This workshop aims to help attendees better understand the connections between climate change, health, and informatics. Through interactive activities as well as a series of brief presentations on work that is already underway in this new field of climate health informatics, participants will be able to identify the myriad areas where informatics can play a role in addressing both climate health mitigation and adaptation measures. The workshop will be conducted using an inclusive and participatory design-thinking methodology, which will allow participants to contribute to the development of a framework for climate health informatics that intersects across related fields of environmental health, public health, sustainability, and disaster preparedness, among others. Beyond creating a framework participants will identify and advance specific project areas. A large group activity will take place focused on the local context of New Orleans and the risk of floods with strategies of how informatics can help advance climate resilience. By the end of the workshop, participants will have a better understanding of the role that informatics can play in addressing climate change and health, and will be equipped with the tools and knowledge needed to contribute to this important work.
Speaker(s):
Speaker:
Chethan Sarabu, MD, FAMIA, FAAP, Stanford Medicine
Author:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Author:
Victoria Tiase, PhD, RN-BC, University of Utah
Author:
Farah Magrabi, PhD, Macquarie University, Australian Institite of Health Innovation
Author:
Oluseyi Fayanju, MD, Stanford Medicine
Author:
Stefano Leitner, MD, MPH, UCSF
Speaker:
Serena DeTata, Stanford Medicine
Population Health
Ethical, Legal, Regulatory, and Social Issues
Standards
Workshop - Collaborative
Location: Churchill C1
Session Code: W11
Session Credits: 1.50
|
Location: Churchill C1
Session Code: W11
Session Credits: 1.50
|
2023111108:3012:00 070
|
SAT, NOV 11
|
2EDBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Phenome Wide Association Studies (PheWAS) in the All of Us Researcher Workbench
The All of Us Research Program is a national effort to build one of the largest and most diverse biorepositories in the world. Funded by the National Institutes of Health, the program aims to enroll more than a million research participants from across the United States over a ten-year period. Access to the program’s biorepository is made available through the All of Us Researcher Workbench, a secure, cloud-based platform, that researchers can use to analyze data from >372,000 participants (as of March 2023) and that includes electronic health records, self-reported surveys, physical measurements, wearable Fitbit devices, whole genome sequencing samples, and genotyping arrays. This free-to-access platform deploys a collaboration-based model in which research projects are housed within individual “workspaces” and are shareable to any registered member of the project team. This workshop invites participation from researchers interested in learning how to utilize the All of Us dataset and Researcher Workbench for their own research. This session will present an overview of the Researcher Workbench and then 1) provide an interactive, guided demonstration of the Researcher Workbench, 2) provide participants a hands-on opportunity to replicate a PheWAS study with genomics and EHR data within the Workbench, 3) conduct an interactive Q&A session to engage attendees about the All of Us Researcher Workbench and the novel technology implemented to conduct genomic analyses, and 4) discuss the approach to scale genomics analysis to 1 million participants.
Speaker(s):
Speaker:
Robert Carroll, PhD, Vanderbilt University Medical Center
Speaker:
Lina Sulieman, PhD, Vanderbilt University
Diversity, Equity, and Inclusion
Education and Training
Bioinformatics
Workshop - Instructional
Location: Churchill C1
Session Code: W18
Session Credits: 3.00
|
Location: Churchill C1
Session Code: W18
Session Credits: 3.00
|
2023111113:0016:30 077
|
SAT, NOV 11
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
12DBDCFC-2A98-ED11-80F4-8AF502304007
41DBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:30 AM - 12:00 PM CST
|
|
Reusing and Adapting Computational Phenotyping Algorithms
SOLD OUT
A common challenge in informatics is identifying patient cohorts from electronic health records (EHRs). Computational phenotyping aims to address this problem using algorithms (e.g., rule-based logic, natural language processing [NLP], and/or machine learning) to identify which patients have a particular clinical condition or characteristic. The EHR computational phenotyping community is diverse and builds algorithms for a variety of applications and clinical systems, which has led to a proliferation of algorithms and methodologies. Our recent systematic evidence review identified more than 661 algorithms for 312 distinct clinical conditions published in the literature.1 The plethora of existing phenotype algorithms paradoxically reduces reuse of algorithms as it’s not always clear to investigators which algorithm is most appropriate for their use case. Furthermore, differences in medical records systems, data warehouses, and technology availability often necessitate modifying an algorithm to implement it in local systems. While informaticians are developing methods to try and solve these portability challenges, in the interim investigators need a rationale approach for reusing algorithms. This instructional workshop will interactively guide learners through a systematic framework and set of best practices for reusing algorithms in a new context.
Speaker(s):
Speaker:
Laura Wiley, PhD, University of Colorado
Speaker:
Luke Rasmussen, MS, Northwestern University
Phenomics and Phenome-wide Association Studies
Real-World Evidence Generation
Reproducibility
Workshop - Instructional
Location: Churchill C1
Session Code: W28
Session Credits: 3.00
|
Location: Churchill C1
Session Code: W28
Session Credits: 3.00
|
2023111208:3012:00 087
|
SUN, NOV 12
|
2DDBDCFC-2A98-ED11-80F4-8AF502304007
36DBDCFC-2A98-ED11-80F4-8AF502304007
35DBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
PASC/COVID - "Puzzlin’' Evidence"
Speaker(s):
Speaker:
Anita Walden, University of Colorado Anschutz Medical Campus
Oral Presentation
|
A Long COVID Risk Predictor Focused on Clinical Workflow Integration
Author:
Biplab S Bhattacharya, PhD, Geisinger Health System
Speaker:
Elliot Mitchell, PhD, Geisinger
Author:
Gaurav Shetty, PhD, Geisinger Health Systems
Author:
Grant DeLong, MA
Author:
Tamanna T. K. Munia, PhD, Geisinger
Author:
Abdul Tariq, PhD, Geisinger Health
|
|
Temporal Trends of Pediatric PASC Subphenotypes: An EHR-based retrospective cohort study from the RECOVER program
Speaker:
Andrea Allen, M. Sc., Applied Clinical Research Center, Children's Hospital of Philadelphia
Author:
Kimberley Dickinson, BS, Children's Hospital of Philadelphia
Author:
Charles Bailey, MD, PhD, Children's Hospital of Philadelphia
Author:
Hanieh Razzaghi, MPH, Children's Hospital of Philadelphia
Author:
Suchitra Rao, MBBS, MSCS
Author:
Vitaly Lorman, Ph.D.
|
Location: Churchill C1
Session Code: S44
Session Credits: 1.50
|
Location: Churchill C1
Session Code: S44
Session Credits: 1.50
|
2023111315:3017:00 007
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Industry Partner Session - Wolters Kluwer - Use of a FHIR Terminology Toolkit to Create a Complete, Interoperable, and Clinically Accurate View of the Patient
Interoperability regulation and technology advancements like FHIR are making vast amounts of insightful clinical data available for use in enabling varying high-value healthcare initiatives; however, data quality and terminology standardization remains a significant challenge creating uncertainty in the accuracy and reliability of your data and analytics being used to advance value-based care.
Attend our Industry Partner Session to hear experts discuss how an enterprise terminology toolkit can transform rich clinical data into information and wisdom, forming a complete, longitudinal patient picture, and enabling advanced analytics to inform quality measure reporting, population health, health equity, and care management.
Join us and together let’s dig into:
· Challenges and opportunities in leveraging a large language model approach for mapping Labs to LOINC®
· Overcoming obstacles for effective medication value set authoring and maintenance including a comparison of RxNorm, MED-RT and Medi-Span
· Maximizing the potential of a FHIR Terminology Server to enable semantic interoperability and accurate analytics in any Clinical Data Model
Speaker(s):
Speaker:
Derek Pinnell, Wolters Kluwer
Speaker:
Howard Strasberg, MD, MS, Wolters Kluwer Health
Speaker:
Sarah Bryan, Wolters Kluwer Health
Speaker:
Christopher Funk, Wolters Kluwer Health
Panel
Location: Churchill C1
Session Code: IPS07
|
Location: Churchill C1
Session Code: IPS07
|
2023111410:3012:00 010
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Friday, Nov 10, 2023
|
Friday, Nov 10, 2023
4:00 PM - 7:00 PM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111016:0019:00 000
|
FRI, NOV 10
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
7:00 AM - 5:30 PM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111107:0017:30 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:00 AM - 5:30 PM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111207:0017:30 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:30 AM - 5:00 PM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111307:3017:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:30 AM - 4:30 PM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111407:3016:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:30 AM - 11:00 AM CST
|
|
Registration
Already registered? Visit registration to print your badge and access AMIA staff to answer questions.
Not registered yet? Come to registration to enroll in the conference.
General Conference
Location: 1st Floor
|
Location: 1st Floor
|
2023111507:3011:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
AI Implementation and Governance - "Countdown"
Speaker(s):
Session Chair:
Sabrina Hsueh, Dr
Oral Presentation
|
Ethicara for Responsible AI in Healthcare: A System for Bias Detection and AI Risk Management
Speaker:
Pei-Yun Hsueh, PhD, FAMIA, Pfizer
Author:
Anastasios Ventouris, MS, Pfizer Inc.
Author:
Danai Aristeridou, MS
Author:
Maria Kritharidou, MS, Pfizer Inc.
Author:
Georgios Chrysogonidis, MS, Pfizer Inc.
Author:
Anastasia Karatzia, MSc, Pfizer
Author:
Veena Calambur, MS, Drexel University
Author:
Ahsan Huda, PhD, Pfizer Inc.
Author:
Vaios Tsarapatsanis
|
|
The Current Landscape of Algorithmovigilance and a Framework for the Future of Clinical AI Governance
Speaker:
Sameer Sundrani, BS, Vanderbilt University School of Medicine
Author:
Nigam Shah, MBBS, PhD, Stanford University
Author:
Michael Pencina, PhD, Duke University School of Medicine
Author:
Shauna Overgaard, PhD, Mayo Clinic
Author:
John Halamka, MD, MS, Mayo Clinic
Author:
Nicoleta Economou-Zavlanos, PhD, Duke University School of Medicine
Author:
Laurie Novak, PhD, Vanderbilt University Medical Center Dept of Biomedical Informatics
Author:
Peter Embi, MD, MS, Vanderbilt University Medical Center
|
Location: Grand Ballroom A
Session Code: S64
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S64
Session Credits: 1.50
|
2023111410:3012:00 007
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Informatics Debates - "Mardi Gras Mambo"
Speaker(s):
Session Chair:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
Informatics Debate
|
Resolution: Clinical Decision Support Resources Should be Freely and Publicly Available to All
Speaker:
Edwin Lomotan, MD, AHRQ
Speaker:
Tiffani Bright, PhD, FACMI
Speaker:
Blackford Middleton, MD, MPH, MSc, FACP, FACMI, FHIMSS, FIAHSI, BMJ Knowledge Centre
Speaker:
Angela Dobes, MPH, Crohn's & Colitis Foundation
Speaker:
Brian Levy, MD, Cerner Corporation
|
|
ICD-11: Debating Adoption Issues
Speaker:
Christopher Chute, MD, DrPH, Johns Hopkins University
Speaker:
Susan Fenton, ACHIP, FAMIA, UTHealth Science Center Houston
Speaker:
Mary Stanfill
Speaker:
Kathy Giannangelo, MA, RHIA, CCS, CPHIMS, FAHIMA, None
|
Location: Grand Ballroom A
Session Code: S96
Session Credits: 1.25
|
Location: Grand Ballroom A
Session Code: S96
Session Credits: 1.25
|
2023111508:0009:15 008
|
WED, NOV 15
|
E9DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
2:30 PM - 5:30 PM CST
|
|
Student Paper Competition
The AMIA Student Paper Competition is held annually at the AMIA Annual Symposium. The event is held with eight finalists selected from all accepted student papers presenting their work in the competition. First, second, and third place prizes are selected by the judges with the winners announced in the Annual Symposium Opening Session. The first-place honoree receives the Martin Epstein Award which is an AMIA Signature Award. A list of past winners and history of the competition can be found on the AMIA website.
Paper - Student
Location: Grand Ballroom A
Session Code: SP1
|
Location: Grand Ballroom A
Session Code: SP1
|
2023111114:3017:30 000
|
SAT, NOV 11
|
E3DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
AMIA Edward H. Shortliffe Doctoral Dissertation Award Presentations
The Edward H. Shortliffe Doctoral Dissertation Award offers high-value and prestigious recognition for the top doctoral dissertation each year that contributes to the science of informatics in any biomedical application domain or domains. Candidates for the Doctoral Dissertation Award must be AMIA members or student members whose doctorate has been conferred by the university no more than 18 months prior to the date on which nominations are due. If formal conferral of the degree is pending at the time of the nomination, the dissertation must have been completed and deposited with the university. We are pleased to present award winning research at AMIA 2023 in a scientific session of the work honored by the Doctoral Dissertation Committee with two presentations by the recipients of the first prize and honorable mention.
Oral Presentation
Location: Grand Ballroom A
Session Code: S37
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S37
Session Credits: 1.50
|
2023111313:4515:15 011
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Invited Session - Byte-Sized Solutions: The Imminent AI Healthcare Revolution
This invited Late-Breaking AMIA session examines the potential impact of large language models and generative AI on biomedicine and healthcare. Will these result in a tidal wave of uncontrolled change? Is this an inflection point of transformation whereby we have the opportunity to influence and shape our future? Or is this yet another incremental improvement like those that we have seen over the past several decades? Through brief presentations and a moderated discussion, our panelists featuring Zak Kohane, author of The AI Revolution in Medicine: GPT-4 and Beyond (2023), will discuss how advances in AI will shape our future.
Speaker(s):
Speaker:
Jessie Tenenbaum, NC DHHS, Duke University
Moderator:
Gretchen Purcell Jackson, MD PhD FACS FACMI FAMIA, Intuitive Surgical / Vanderbilt University Medical Center
Speaker:
Isaac Kohane, Harvard Medical School, Countway Library
Speaker:
Elmer Bernstam, MD, MSE, MS, UTHealth Science Center Houston
Panel
Location: Grand Ballroom A
Session Code: S57
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S57
Session Credits: 1.50
|
2023111408:3010:00 009
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:15 PM - 1:30 PM CST
|
|
Location: Grand Ballroom A
Session Code: PCT1
|
Location: Grand Ballroom A
Session Code: PCT1
|
2023111312:1513:30 000
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
12:30 PM - 2:00 PM CST
|
|
Advancing Diversity, Equity, and Inclusion in Biomedical Informatics Research: Strategies and Best Practices for Using Inclusive Language Across the Research Lifecycle
Inclusive language in scholarly communication is crucial to conducting ethical and rigorous research while promoting accuracy, fairness, and inclusivity. Especially in biomedical informatics, language that affirms lived experiences accurately describes diverse perspectives, and challenges biased and harmful narratives advances equity in health and medical research, improving health outcomes for all individuals. This spring, the AMIA DEI Committee released its first edition of the AMIA Board of Directors-approved Inclusive Language and Context Style Guidelines (ILCSG) to provide four guiding principles (plurality, precision, transparency, and destigmatization) and educational resources for the community in scholarly communications. While an important consideration during publishing results, language also impacts how we conduct research throughout the entire research lifecycle, including research question formation, target population definition and recruitment, data collection, quantitative and qualitative analyses, and interpretation and discussion. Given this, it is important for the AMIA community to thoroughly understand, investigate, and critique our suggested principles and their application. Building on a successful workshop in 2022 that introduced the ILCSG resource in scholarly communications, we plan to facilitate another interactive workshop to promote these guiding principles and discuss best practices in incorporating these principles across the entire research lifecycle in biomedical informatics. For 2023, our goals include promoting the ILCSG resource to the AMIA community and providing strategies and best practices for using inclusive language to promote equity and inclusion in biomedical informatics research. We also will use this opportunity to solicit feedback and participation from the AMIA community to improve the ILCSG.
Speaker(s):
Speaker:
Hu Huang, Ph.D., Astellas Pharma Global Development, Inc.
Speaker:
Shefali Haldar, Ph.D., Merck & Co., Inc.
Speaker:
J. Fan, Ph.D., Mayo Clinic
Speaker:
Vipina K. Keloth, PhD, Yale University
Speaker:
Jaysón Davidson, B.S., UCSF
Speaker:
Duo Wei, PhD, Stockton University
Speaker:
Tiffany Leung, MD, MPH, JMIR Publications
Speaker:
Oliver Bear Don't Walk, IV, PhD, University of Washington
Diversity, Equity, and Inclusion
Delivering Health Information and Knowledge to the Public
Racial Disparities
Workshop - Collaborative
Location: Grand Ballroom A
Session Code: W22
|
Location: Grand Ballroom A
Session Code: W22
|
2023111112:3014:00 081
|
SAT, NOV 11
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
08DBDCFC-2A98-ED11-80F4-8AF502304007
33DBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Aggregate de-identified EHR data – Research Using Resources from two Major EHR Vendors
This panel will provide the audience with an overview of the Epic Cosmos and Cerner Real World Data aggregate de-identified EHR data resources. The similarities and differences of the two systems will be discussed. The panelists from Children’s Mercy Hospital, the University of Massachusetts Chan Medical School, the University of Kansas and The Children’s Hospital of Orange County will share examples of research based on these platforms and will discuss the opportunities and challenges of working with largescale resources. The healthcare organizations contributing to these systems vary widely, from large academic medical centers, rural critical access hospitals, and community healthcare centers. This provides opportunities to investigate health inequities, health outcomes and patterns of care at a large scale but also requires novel approaches to normalization across de-identified contributors.
Speaker(s):
Speaker:
Mark Hoffman, Ph.D., Children's Mercy Hospital
Speaker:
Louis Ehwerhemuepha, Ph.D., Children's Hospital of Orange County, California
Speaker:
Feifan Liu, PhD, University of Massachusetts Chan Medical School
Speaker:
Jeffrey Thompson, Ph.D., University of Kansas Medical Center
Speaker:
Erin Tallon, Children's Mercy Kansas City
Data Sharing
Informatics Implementation
Real-World Evidence Generation
Panel
Location: Grand Ballroom A
Session Code: S09
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S09
Session Credits: 1.50
|
2023111308:3010:00 001
|
MON, NOV 13
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
36DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Algorithmic Bias and Health Equity: The Challenge and Response
Artificial Intelligence (AI) tools can enable scientific advances in medicine and improvements in healthcare systems and delivery, however, they can also exacerbate health disparities if developers and users do not recognize, understand and address the mechanisms by which biases in our healthcare system may be reflected in both design assumptions and available datasets. Societal and structural inequities have a profound impact on health via social and environmental determinants of health, differential access to healthcare services and barriers to participation in clinical research. The impact and potential mitigation of such disparities on data, algorithms and deployment must be fully understood and addressed to achieve equity and fairness for AI use in healthcare.
Speaker(s):
Speaker:
Eileen Koski, MPhil, FAMIA, IBM Research
Moderator:
Elisabeth Lee Scheufele
Author:
Tina Hernandez-Boussard, PhD, Stanford University
Author:
Fei Wang, PhD, Weill Cornell Medicine
Author:
Irene Dankwa-Mullan, Merative
Diversity, Equity, and Inclusion
Fairness and Elimination of Bias
Machine Learning
Panel
Location: Grand Ballroom A
Session Code: S41
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S41
Session Credits: 1.50
|
2023111315:3017:00 004
|
MON, NOV 13
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
15DBDCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Clinicians on FHIR: How FHIR Enables Interoperability
HL7 created Fast Healthcare Interoperability Resources (FHIR) as a next generation standard to address clinical data interoperability. FHIR has evolved from a standard in trial use to a requirement under US federal rules as an API for patient access to their data in EHR systems as well as their claims data in payer systems. Additionally, the NIH has indicated their intent to support the expansion of FHIR capability for clinical and translational research. Clinicians on FHIR evolved as an event held at each HL7 Working Group Meeting (3 times yearly) to educate clinicians about HL7 FHIR and provide feedback to the HL7 FHIR team regarding the clinical viability and usability of the FHIR standard. This workshop brings the Clinicians on FHIR activity to a broader clinical audience. The workshop is designed to educate attendees about HL7 FHIR and tools available to access, review, and provide feedback to the HL7 FHIR team regarding the evolving HL7 FHIR standard. It is also intended to make the audience aware of the potential of FHIR for innovation in their organizations. It is not a programming or app development experience. The faculty will provide lectures describing HL7 FHIR history, background, and fundamental principles. Examples of applications using the SMART on FHIR platform will also be discussed. The new federal requirements for FHIR APIs in EHR systems will be outlined. After this initial overview of FHIR, the attendees will be guided through using online tools to examine HL7 FHIR Resources and build basic common FHIR Profiles.
Speaker(s):
Speaker:
Laura Heermann Langford, PhD, RN, FAMIA, FHL7
Speaker:
Russell Leftwich, MD, FAMIA, InterSystems Corporation
Speaker:
James McClay, University of Missouri
Controlled Terminologies, Ontologies, and Vocabularies
Interoperability and Health Information Exchange
Standards
Workshop - Collaborative
Location: Grand Ballroom A
Session Code: W04
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: W04
Session Credits: 1.50
|
2023111108:3012:00 063
|
SAT, NOV 11
|
01DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Overcoming Barriers in EHR-Based Research to Enable Health Equity
The NIH Pragmatic Trials Collaboratory supports the design, conduct, and dissemination of large-scale embedded pragmatic clinical trials (ePCTs) that address significant public health challenges. The trials are embedded into routine care and frequently use digital solutions from the electronic health record (EHR) for aspects of trial conduct, such as electronic consent (eConsent), collection of patient-reported outcomes (PROs), and use of clinical decision support tools to identify patients and provide education. Through this work, the principal investigators (PIs) have identified health equity challenges, including: identifying subgroups that may be wholly or partially excluded from EHR-based recruitment, bias in the design of EHR-based interventions, data missingness or misrepresentation of under-represented research participants, and issues of generalizability. Based on our collective experience with pragmatic trials using data from EHR systems, this panel will share case examples and solutions to challenges of EHR-based pragmatic research, including recommendations to actively mitigate bias and promote health equity.
Speaker(s):
Author:
Andrew Boyd, MD, University of Illinois at Chicago
Speaker:
Katharine Lawrence, MD, New York University School of Medicine/NYU Langone Health System
Author:
Alice Pressman, PhD, Sutter Health California Pacific Medical Center Research Institute
Author:
Andrea Cheville, MD, MSCE, Mayo Clinic College of Medicine
Speaker:
Keith Marsolo, PhD, Duke University
Diversity, Equity, and Inclusion
Participatory Approach/Science
Racial Disparities
Panel
Location: Grand Ballroom A
Session Code: S107
Session Credits: 1.25
|
Location: Grand Ballroom A
Session Code: S107
Session Credits: 1.25
|
2023111509:4511:00 008
|
WED, NOV 15
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
26DBDCFC-2A98-ED11-80F4-8AF502304007
33DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
The Role of Informatics in Reducing Environmental Pollution and Impacting Climate Change
One of the biggest challenges facing the world today is widespread environmental pollution and climate change. The healthcare system is responsible for part of this problem and also has the responsibility and potential to help with solutions. The goal of this panel is to highlight the role of informatics in the sustainability agenda for healthcare and propose a series of approaches that healthcare delivery systems can use to address problems related to climate change, waste and pollution. The panelists have expertise in informatics, clinical medicine, sustainability and health system operations and have been exploring the role that the healthcare enterprise plays in contributing to, responding to, and potentially in helping to address, environmental pollution and climate change.
Speaker(s):
Speaker:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Speaker:
Farah Magrabi, PhD, Macquarie University, Australian Institite of Health Innovation
Speaker:
Andrew Draper, PhD
Speaker:
Enrico Coiera, PhD, MBBS
Speaker:
Hardeep Singh, MD, MPH, Houston VA Center of Innovation & Baylor College of Medicine
Curriculum Development
Ethical, Legal, Regulatory, and Social Issues
Global Health
Panel
Location: Grand Ballroom A
Session Code: S78
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S78
Session Credits: 1.50
|
2023111415:3017:00 001
|
TUE, NOV 14
|
00DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
16DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Using AI to Improve Mental Health Care: Challenges and Opportunities
Artificial intelligence (AI) is being increasingly adopted in mental health research. The resulting applications are manifold including early detection of symptoms, improving diagnosis, personalizing treatments, and development of virtual therapists, although several key questions with respect to clinical utility of AI applications, patient privacy, fairness and bias remain unanswered. This panel will deliver some of the key learning objectives in this area: 1) analysis of patient-generated and social media data for symptom detection using AI, 2) clinical phenotyping of suicidal thoughts and behaviors, and 3) implementation of AI models with electronic health record (EHR) systems for routine clinical care.
Speaker(s):
Speaker:
Jyotishman Pathak, PhD, Weill Cornell Medical College, Cornell University
Author:
Trevor Cohen, MBChB, PhD, Biomedical Informatics and Medical Education, University of Washington
Author:
Juliet Edgcomb, MD, PhD, David Geffen School of Medicine at UCLA
Author:
Vasa Curcin, PhD, FAMIA, King's College London
Author:
Yiye Zhang, PhD, Weill Cornell Medical College
Clinical Decision Support
Machine Learning
Ethical, Legal, Regulatory, and Social Issues
Panel
Location: Grand Ballroom A
Session Code: S68
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S68
Session Credits: 1.50
|
2023111413:4515:15 002
|
TUE, NOV 14
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A573A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
Will AI Make Terminology Irrelevant?
Controlled terminologies have a long history of use in medicine. In the modern age, concept-based controlled terminologies have been the standard by which we have recorded, and dealt with, health data, especially in electronic records. For the literature, and some data repositories, the driver for the use of controlled terminologies was the need for better recall and more precise retrieval. Increasing computer power and storage have now led to remarkable improvements in NLP (Natural Language Processing). With the subsequent availability of huge amounts of data, especially text, the power of Deep Learning has enabled artifacts such as the generative text app ChatGPT. Have these and related developments obviated the need for controlled terminologies? Has the role of coding changed, and will it change going forward? What will be the role, if any, of terminology in 5 years? Will our ability to use terminology atrophy?
Speaker(s):
Speaker:
Mark Tuttle, Apelon
Speaker:
James Cimino, MD, University of Alabama at Birmingham Informatics Institute School of Medicine
Speaker:
Keith Campbell, Department of Veterans Affairs
Speaker:
Qing Zeng-Treitler, George Washington University
Moderator:
Stuart Nelson, MD, FACP, FACMI, George Washington University
Deep Learning
Controlled Terminologies, Ontologies, and Vocabularies
Terminology Systems
Panel
Location: Grand Ballroom A
Session Code: S21
Session Credits: 1.50
|
Location: Grand Ballroom A
Session Code: S21
Session Credits: 1.50
|
2023111310:3012:00 004
|
MON, NOV 13
|
06DBDCFC-2A98-ED11-80F4-8AF502304007
01DBDCFC-2A98-ED11-80F4-8AF502304007
4ADBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
10:00 AM - 10:30 AM CST
|
|
Coffee Break
Complimentary coffee, tea and water will be available.
General Conference
Location: Chemin Royale Foyer
|
Location: Chemin Royale Foyer
|
2023111110:0010:30 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
2:30 PM - 3:00 PM CST
|
|
Coffee Break
Complimentary coffee, tea and water will be available.
General Conference
Location: Chemin Royale Foyer
|
Location: Chemin Royale Foyer
|
2023111114:3015:00 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
10:00 AM - 10:30 AM CST
|
|
Coffee Break
Complimentary coffee, tea and water will be available.
General Conference
Location: Chemin Royale Foyer
|
Location: Chemin Royale Foyer
|
2023111210:0010:30 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:15 AM - 9:45 AM CST
|
|
Coffee Break
Complimentary coffee, tea and water will be available.
General Conference
Location: Chemin Royale Foyer
|
Location: Chemin Royale Foyer
|
2023111509:1509:45 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 1:00 PM CST
|
|
Luggage Storage
Stop by before your session for complimentary storage of your luggage.
General Conference
Location: Chemin Royale Foyer
Session Code: LS1
|
Location: Chemin Royale Foyer
Session Code: LS1
|
2023111508:0013:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Terminology - "Don’t Let me Be Misunderstood"
Speaker(s):
Session Chair:
Christopher Chute, MD, DrPH, Johns Hopkins University
Oral Presentation
|
Semantically oriented EHR navigation with a patient specific knowledge base and a clinical context ontology.
Speaker:
Tiago Colicchio, PhD, MBA, University of Alabama at Birmingham
Author:
James Cimino, MD, University of Alabama at Birmingham Informatics Institute School of Medicine
Author:
John Osborne, PhD, University of Alabama at Birmingham
Author:
Ankit Anand, MS
Author:
Nicholas Timkovich, MSHI, UAB Health System
Author:
Matthew Wyatt, MSHI, University of Alabama at Birmingham
Author:
Clementino Vong do Rosario, MS, University of Alabama at Birmingham Informatics Institute School of Medicine
|
|
Using a large open clinical corpus for improved ICD-10 diagnosis coding
Author:
Anastasios Lamproudis, M.Sc., Norwegian Center for E-Health research
Author:
Hercules Dalianis, Ph.d., Stockholm University
Author:
Phuong Ngo, Ph.D., Norwegian Centre for Ehealth Research
Speaker:
Andrius Budrionis, Ph.d., Norwegian Centre for E-health Research
Author:
Taridzo Chomutare, Ph.D., Norwegian Centre for E-health Research
Author:
Therese Svenning, M.Sc. in Epidimiology, None
Author:
Thomas Vakili, Ph.D.
|
|
Mapping Clinical Documents to the Logical Observation Identifiers, Names and Codes (LOINC) Document Ontology using Electronic Health Record Systems Structured Metadata.
Speaker:
Huzaifa Khan, PhD Student, University of Missouri, Columbia
Author:
Abu Mosa, PhD, MS, FAMIA, University of Missouri School of Medicine
Author:
Vyshnavi Paka, vpknx@health.missouri.edu, University of Missouri
Author:
Md Kamruz Zaman Rana, MS, University of Missouri - Columbia
Author:
Vasanthi Mandhadi, MS, University of Missouri
Author:
Md Soliman Islam, MS
Author:
Hua Xu, PhD, Yale University
Author:
James McClay, University of Missouri
Author:
Shraboni Sarker, University of Missouri, Columbia
Author:
Praveen Rao, PhD, University of Missouri-Columbia
Author:
Lemuel Waitman, PHD, University of Missouri
|
|
Value Set Curation in a Clinical Data Research Network: Certifying National COVID Cohort Collaborative (N3C) Recommended Concept Sets
Speaker:
Johanna Loomba, ME, University of Virginia
Author:
Stephanie Hong, BS, FAMIA, Johns Hopkins University School of Medicine
Author:
Lisa Eskenazi, MHA, Johns Hopkins University School of Medicine
Author:
Andrea Zhou, M.E., University of Virginia
Author:
Xiaohan Zhang, MD, MS, Johns Hopkins University School of Medicine
Author:
Sigfried Gold, MFA MA, Johns Hopkins University
Author:
Richard Moffitt, PhD, Emory University
Author:
Richard Zhu, MD, Johns Hopkins University School of Medicine
Author:
Amin Manna, ME, Palantir
Author:
Saad Ljazouli, ME, Palantir
Author:
Christopher Chute, MD, DrPH, Johns Hopkins University
Author:
Harold Lehmann, MD PhD FACMI, Johns Hopkins University
|
Location: Grand Ballroom C
Session Code: S74
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S74
Session Credits: 1.50
|
2023111413:4515:15 008
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Information Extraction - "Everything in its Right Place"
Speaker(s):
Session Chair:
Rui Zhang, PhD, University of Minnesota, Twin Cities
Oral Presentation
|
Domain Adaptation for Clinical Relation Extraction
Author:
Yujuan Fu, BSE, University of Washington
Speaker:
Yujuan Fu, BSE, University of Washington
Author:
Giridhar Kaushik Ramachandran, BS, George Mason Univeristy
Author:
Nianiella Dorvall, BS, None
Author:
Emily Stiles
Author:
Spencer Raub
Author:
Kevin Lybarger, PhD, George Mason University
Author:
Bridget McInnes
Author:
Meliha Yetisgen, PhD, University of Washington
Author:
Ozlem Uzuner, PhD, George Mason University
|
|
Caregivers Attitude Detection From Clinical Notes
Speaker:
Gaetano Manzo, Author and Speaker, National Institutes of Health
Author:
Leo Celi, co-author, Massachusetts Institute of Technology
Author:
Yasmeen Shabazz, co-author
Author:
Rory Mulcahey, co-author, National Institutes of Health
Author:
Lorenzo Flores, co-author, Massachusetts Institute of Technology
Author:
Dina Demner-Fushman, PHD, National Library of Medicine
|
|
Backdoor Adjustment of Confounding by Provenance for Robust Text Classification of Multi-institutional Clinical Notes
Speaker:
Xiruo Ding, PhD Student, Dept. of Biomedical Informatics & Medical Educ, University of Washington
Author:
Trevor Cohen, MBChB, PhD, Biomedical Informatics and Medical Education, University of Washington
Author:
Meliha Yetisgen, PhD, University of Washington
Author:
Serguei Pakhomov, Author, University of Minnesota
Author:
Zhecheng Sheng, Speaker, University of Minnesota
|
|
Leveraging Unlabeled Clinical Data to Boost Performance of Risk Stratification Models for Suspected Acute Coronary Syndrome
Speaker:
YUTONG WU, PhD, Australian e-Health Research Centre, CSIRO
Author:
David Conlan, Australian e-Health Research Centre, CSIRO
Author:
Siegfried Perez, PhD, Faculty of Medicine, The University of Queensland
Author:
Anthony Nguyen, PhD, The Australian e-Health Research Center, CSIRO
|
|
Method for Determining Encounter Context as Setting of Care for Administration of a Therapy Under EUA
Author:
Aaron Kamauu, MD MS MPH, Ikaika Health
Speaker:
Scott DuVall, PhD, VA Salt Lake City Health Care System
Author:
Julie Lynch, PhD, MBA, RN, Veterans Health Administration
Author:
Michael Matheny, MD, MS, MPH, Vanderbilt University Medical Center
|
Location: Grand Ballroom C
Session Code: S32
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S32
Session Credits: 1.50
|
2023111313:4515:15 006
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Grand Ballroom C
Session Code: S88
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S88
Session Credits: 1.50
|
2023111415:3017:00 011
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
CDS RoundUp: Exterminating Roaches in Clinical Decision Support
The multi-center pediatric clinical decision support (CDS) collaborative will review eleven lessons learned about ineffective CDS alerts and how to avoid them at your institutions. Real world examples and solutions will be discussed on how these poorly functioning alerts were redesigned or retired. This will be a fun and interactive review of CDS best practices around designing alerts and alert change management and how to exterminate the CDS cockroaches at your institution. There will be dedicated time at the end of the presentation for audience participation and discussion to share additional examples of how their institutions have struggled with problematic CDS.
Speaker(s):
Speaker:
Lindsey Knake, The University of Iowa Carver College of Medicine
Speaker:
Leonid Bederman, MD
Speaker:
Adam Dziorny, MD, PhD, University of Rochester, School of Medicine and Dentistry
Speaker:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Speaker:
Eric Kirkendall, MD, MBI, Wake Forest Baptist Medical Center
Clinical Decision Support
Pediatrics
Change Management
Panel
Location: Grand Ballroom C
Session Code: S19
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S19
Session Credits: 1.50
|
2023111310:3012:00 002
|
MON, NOV 13
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
52DBDCFC-2A98-ED11-80F4-8AF502304007
EA65A8AD-42A2-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Consent Management and Enforcement Panel: Clinical and Technological Challenges and Solutions
Compelled by legal and policy requirements as well as intuitive expectation of privacy, managing and enforcing consent is a crucial requirement in healthcare and healthcare-adjacent applications (e.g., social services). This panel will review some of the major use cases of patient consent and discuss their practical details and nuances, in tandem with the technological infrastructure needed to address these use cases, especially in the context of Fast Healthcare Interoperability Resources (FHIR) and the FHIR Consent resource. We will also discuss the importance of terminology as a conceptual bridge connecting consent rules and privacy preferences and the enforcement of these rules from both the technical and clinical perspectives.
Speaker(s):
Speaker:
Mohammad Jafari, PhD, Arizona State University
Moderator:
Adela Grando, PhD, FAMIA, Arizona State University
Author:
Chethan Sarabu, MD, FAMIA, FAAP, Stanford Medicine
Author:
Lin Zhao, Honorhealth
Data Sharing
Informatics Implementation
Patient Engagement and Preferences
Panel
Location: Grand Ballroom C
Session Code: S60
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S60
Session Credits: 1.50
|
2023111410:3012:00 003
|
TUE, NOV 14
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
EA8B5E30-7D9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Data Modernization Initiative in Public Health: Efforts to Strengthen the Public Health Information Infrastructure and the Informatics Workforce
The Data Modernization Initiative (DMI) is a national effort led by the Centers for Disease Control and Prevention (CDC) to develop an integrated and real-time public health data and surveillance architecture. The DMI is a multi-year, multi-billion-dollar effort with the vision to get faster and better actionable data for decision-making across various levels in public health. The panel includes experts who are involved in DMI efforts at diverse levels (national, state, local, health system and academia) and will share the importance of DMI and its implications across the board ranging from public health agencies, health care delivery systems and academic institutions. A robust information infrastructure supported by an informatics-savvy workforce are important elements which can work synchronously to address the persistent health inequities and DMI is a big step in that direction. Informatics will play an increasingly important role with DMI and is a topic of interest among AMIA membership.
Speaker(s):
Speaker:
Sripriya Rajamani, MBBS, PhD, MPH, FAMIA, None
Speaker:
Jamie Pina, MSPH, PhD, ASTHO
Speaker:
Theresa Cullen, MD, MS, Pima County Public Health
Speaker:
Susan Fenton, ACHIP, FAMIA, UTHealth Science Center Houston
Speaker:
Brian Dixon, Regenstrief Institute
Population Health
Informatics Implementation
Interoperability and Health Information Exchange
Panel
Location: Grand Ballroom C
Session Code: S10
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S10
Session Credits: 1.50
|
2023111308:3010:00 002
|
MON, NOV 13
|
2EDBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A173A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Implementing HL7 FHIR: The Implementation Divisions heralds the future of interoperability
Fast Healthcare Interoperability Resources (FHIR), created by HL7 more than a decade ago, has grown to become a global standard for exchanging data in nearly 50 countries. Its broad adoption has taken many forms, as the opportunities for implementation have been met with innovative solutions. At the same time, the FHIR Accelerator Program had developed implementations and applications for patient care, health payment systems, public health, patient engagement, clinical and basic research, and social determinants of health. On an unprecedented scale, FHIR has enabled applications for a myriad of diverse use cases. Among the broad cross-section of health systems, government regulators, researchers and end-users, challenges have arisen to insure semantic interoperability, security and privacy, and consistent reliability. In January 2022, HL7 introduced the Standards Implementation Division to address many of these issues. An international collaboration fostered the creation a unique ecosystem that allowed continuous testing and certification, supported a global education program, and served to harmonize the diverse FHIR implementation community.
Speaker(s):
Speaker:
Charles Jaffe, MD, PhD, Health Level Seven
Speaker:
Julia Skapik, MD, National Assoc. of Community Health Centers
Speaker:
Caroline Macumber, MS, Clinical Architecture
Speaker:
Daniel Vreeman, DPT, HL7
Interoperability and Health Information Exchange
Population Health
Standards
Panel
Location: Grand Ballroom C
Session Code: S51
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S51
Session Credits: 1.50
|
2023111408:3010:00 003
|
TUE, NOV 14
|
1FDBDCFC-2A98-ED11-80F4-8AF502304007
2EDBDCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Leveraging Generative AI in Biomedical Informatics
SOLD OUT
This workshop demonstrates how generative AI can be utilized in biomedical informatics for various purposes, including scientific writing, education, health care delivery, coding, data analysis, and creative inspiration. Generative AI focuses on creating novel content from data or models, such as text and images. The workshop consists of six sessions, each taught by an expert, covering different aspects of generative AI and its applications in biomedical informatics. The first session provides an overview of generative AI concepts, methods, challenges, and opportunities. The second session showcases the potential of generative AI tools to improve scientific writing by facilitating literature reviews and aiding in the publication process while addressing authorship and plagiarism concerns. The third session explores how generative AI can augment informatics education, by generating quizzes and feedback. The fourth session delves into the utilization of generative AI to improve healthcare delivery, including streamlining provider documentation and care recommendations while cautiously navigating tool-induced hallucinations. The fifth session demonstrates how generative AI can facilitate coding and data analysis. The sixth and final session showcases how generative AI can inspire creativity in work, such as generating art, music, or video, with considerations around training data bias. The workshop is designed to be interactive, engaging, and informative for participants with diverse experience levels and interests. Participants will have opportunities to learn from experts, ask questions, share ideas, and identify opportunities to apply generative AI to their professional pursuits. No prior knowledge of generative AI is necessary.
Speaker(s):
Speaker:
Yaa Kumah-Crystal, MD, MPH, Vanderbilt Univeristy Medical Center
Speaker:
Jesse Spencer-Smith, PhD, Vanderbilt University
Speaker:
Alfred Shoukry, MD, University of Pittsburgh School of Medicine
Speaker:
John Manning, MD, Atrium Health's Carolinas Medical Center
Speaker:
Christoph Lehmann, MD, UT Southwestern Medical Center
Machine Learning
Informatics Implementation
Human-computer Interaction
Workshop - Instructional
Location: Grand Ballroom C
Session Code: W13
Session Credits: 3.00
|
Location: Grand Ballroom C
Session Code: W13
Session Credits: 3.00
|
2023111113:0016:30 072
|
SAT, NOV 11
|
21DBDCFC-2A98-ED11-80F4-8AF502304007
1ADBDCFC-2A98-ED11-80F4-8AF502304007
18DBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Using EHR Event Log Data for Operational and Research Insights
Electronic health record (EHR) event logs represent a large volume of data on health care provider interactions with the system, opening opportunities for novel operational insights and facilitating new lines of inquiry in health services and health informatics research. Despite their great potential, these data sources’ use towards both operational and research ends has been limited by the varying levels of granularity available, difficulties in access to both “raw” log data and vendor-provided metrics, and a general lack of clarity with respect to the best fit use cases for these data. Federal regulations mandate event log recording, often termed “audit logs” or “event logs.” EHR vendors also aggregate usage records derived from audit logs, resulting in summaries of provider efficiency and workload that may be used to guide operational interventions or inform research, often termed “EHR use metadata” or “vendor-derived metrics.” This workshop aims to (1) orient attendees to the landscape of EHR log data, (2) provide concrete guidance on how to access, organize, and store EHR use metadata from the two most widely-used sources of these metrics (Epic Signal and Cerner LightsOn/Advance), and (3) offer examples of how to use these data to address operational and research questions. We will also discuss the unique value of these data along with challenges and limitations to using these data. Participants are encouraged to bring both operational and research questions pertinent to their own institutions to the workshop for development and suggestions of how EHR use metadata can assist in those analyses.
Speaker(s):
Speaker:
Nate Apathy, PhD, MedStar Health Research Institute
Author:
Daniel Tawfik, MD, MS, Stanford University School of Medicine
Author:
Sunny Lou, MD, PhD, Washington University, St. Louis
Author:
Thomas Kannampallil, PhD, Washington University School of Medicine
Author:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Evaluation
Documentation Burden
Data standards
Workshop - Instructional
Location: Grand Ballroom C
Session Code: W09
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: W09
Session Credits: 1.50
|
2023111108:3012:00 068
|
SAT, NOV 11
|
13DBDCFC-2A98-ED11-80F4-8AF502304007
0DDBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9E73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Patient Portals - "Make that Connection"
Speaker(s):
Session Chair:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Oral Presentation
|
Digital Health Company Experiences Using EHR APIs
Speaker:
Wesley Barker, MS, Office of the National Coordinator for Health IT
Author:
Natalya Maisel, PhD, UCSF
Author:
Catherine Strawley, Office of the National Coordinator for Health IT
Author:
Grace Krueger, MPH, UCSF
Author:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Author:
Benjamin Rosner, MD, PhD, FAMIA, UCSF
|
|
Annotation and Information Extraction of a Consumer-Friendly Health Website for Enhancing Laboratory Test Reporting in Patient Portals
Speaker:
Zhe He, PhD, Florida State University
Author:
Shubo Tian, PhD, Florida State University
Author:
Arslan Erdengasileng, BS, Florida State University
Author:
Karim Hanna, MD, University of South Florida Health
Author:
Yang Gong, MD, PhD, UTHealth Houston
Author:
Zhan Zhang, PhD, Pace University
Author:
Xiao Luo, PhD, Indiana University–Purdue University Indianapolis
Author:
Mia Liza A. Lustria, PhD
|
|
Trends of Real Time Patient Portal Use Among Emergency Department Patients: An SAEM Informatics Collaborative Report
Speaker:
Robert Turer, MD, MS, UT Southwestern Medical Center
Author:
Samuel McDonald, MD, MS, UT Southwestern
Author:
Sayon Dutta, MD, MPH, Mass General Hospital
Author:
Richard Taylor, MD MHS, Yale University
Author:
Christian Rose, MD, Stanford University, School of Medicine
Author:
Adam Frisch, MD, University of Pittsburgh Medical Center
Author:
Kristian Feterik, MD, MBA, UPMC
Author:
Craig Norquist, MD, HonorHealth
Author:
Carrie Baker, MD MS, Kettering Health
Author:
Jeffrey Nielson, MD MS, Northeast Ohio Medical University
Author:
David Cha, MD, Kettering Health
Author:
Brian Kwan, MD, UC San Diego School of Medicine
Author:
Christian Dameff, MD, UC San Diego
Author:
James Killeen, MD, UC San Diego
Author:
Richard Medlin, MD MS, University of Michigan
Author:
Caryn Boyd, BS, University of Michigan Health System
Author:
Michael Hall, MD, University of Washington
Author:
Robert Doerning, MD, University of Washington
Author:
S. Trent Rosenbloom, MD, MPH, Vanderbilt University Medical Center Dept of Biomedical Informatics
Author:
Casey Distaso, MD, Vanderbilt University Medical Center
Author:
Bryan Steitz, PhD, Vanderbilt University Medical Center
|
|
Association of Portal Engagement with Body Mass Index Decrease in Post-Bariatric Surgery Patients
Speaker:
Xinmeng Zhang, BS, Vanderbilt University
Author:
Kaidi Kang, MS, Vanderbilt University
Author:
Chao Yan, PhD, Department of Biomedical Informatics, Vanderbilt University Medical Center
Author:
Simon Vandekar, PhD, Vanderbilt University Medical Center
Author:
Charles Flynn
Author:
You Chen, PhD, Vanderbilt University
|
|
Characterization of Adult Patients with Autism Spectrum Disorder that Use Patient Portal
Speaker:
Hannah Slater, BS, Vanderbilt University Department of Biomedical Informatics
Author:
Zhijun Yin, PhD, Vanderbilt University Medical Center
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
|
Location: Grand Ballroom C
Session Code: S43
Session Credits: 1.50
|
Location: Grand Ballroom C
Session Code: S43
Session Credits: 1.50
|
2023111315:3017:00 006
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:30 AM - 11:00 AM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC6
|
Location: Registration Foyer
Session Code: MC6
|
2023111507:3011:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Friday, Nov 10, 2023
|
Friday, Nov 10, 2023
4:00 PM - 7:00 PM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC1
|
Location: Registration Foyer
Session Code: MC1
|
2023111016:0019:00 000
|
FRI, NOV 10
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
7:00 AM - 5:30 PM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC2
|
Location: Registration Foyer
Session Code: MC2
|
2023111107:0017:30 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:00 AM - 5:30 PM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC3
|
Location: Registration Foyer
Session Code: MC3
|
2023111207:0017:30 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:30 AM - 5:00 PM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC4
|
Location: Registration Foyer
Session Code: MC4
|
2023111307:3017:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 5:30 PM CST
|
|
AMIA Membership Central Booth
Stop by and chat with AMIA staff to learn more about AMIA and how to get the most from your membership. Join or renew for 2024, pick up your ribbons, or just say hello.
Need assistance navigating the meeting? Want to find how to meet fellow attendees? We can help with that too.
General Conference
Location: Registration Foyer
Session Code: MC5
|
Location: Registration Foyer
Session Code: MC5
|
2023111407:0017:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Industry Partner Session - RTI International - Care Planning and Care Coordination: A Multi-Part Panel on Implementation of an Electronic Care Plan (eCP) and Technical Specifications
Diligent attention to care coordination is critical for patients with multiple chronic conditions. This industry-led session will discuss how the 21st Century Cures Act, specifically information blocking, supports implementation of Fast Healthcare Interoperability Resources (FHIR) based patient and provider facing applications designed to improve care coordination and patient goal tracking across providers. Current iterations of the applications enable integrating patient data across multiple external health care systems and implementing new features for patient reporting of goals and outcomes. This second version of the app expands the scope of the previous goals to further facilitate data sharing across different institutions and electronic health records (EHR) systems. To support this data collection, our team leveraged open Application Programming Interfaces (APIs) to design and implement supplemental data store (SDS) which houses patients’ medical information from multiple EHR sources. This SDS allows patients to see their health information in a single place. It also allows for the storage of patient reported outcomes, such as questionnaires. This session will provide a deep dive into care plans, care planning, care coordination, and the technical environment for these solutions, followed by lightning technical talks to walk through examples and answer technical questions.
Learning Objectives:
- Discuss the challenges of managing patients living with multiple chronic conditions especially around care planning and care coordination.
- Describe the value that an eCare Plan can provide patients/ caregivers and their care teams in accessing information and prioritizing care.
- Design solutions for care coordination that optimize input from patients/ caregivers and their care teams and leverage FHIR applications.
- Capture patient reported information and data from multiple sources in a supplemental data store for more real time care coordination.
Expand the use of these tools to optimize patient/caregivers and provider communication around patient goals and to lay the groundwork for future AI related technologies.
Speaker(s):
Speaker:
Joshua Richardson, PhD, MS, MLIS, RTI International
Speaker:
Laura Marcial, RTI
Speaker:
Jamie Pina, MSPH, PhD, ASTHO
Speaker:
Melissa McPheeters, RTI
Speaker:
David Dorr, MD, MS, Oregon Health & Science University
Speaker:
Michelle Dougherty, MA, RHIA, RTI
Speaker:
Evelyn Gallego, MBA, MPH, EMI Advisors LLC
Speaker:
Dave Carlson, MBA, Ph.D., Mountain Lotus WellBeing LLC
Industry Partner Session
Location: Churchill C2
Session Code: IPS09
|
Location: Churchill C2
Session Code: IPS09
|
2023111415:3017:00 012
|
TUE, NOV 14
|
E90253B8-7C22-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Churchill C2
Session Code: WG11
|
Location: Churchill C2
Session Code: WG11
|
2023111317:3019:00 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:30 PM - 1:30 PM CST
|
|
Location: Churchill C2
Session Code: WG16
|
Location: Churchill C2
Session Code: WG16
|
2023111412:3013:30 000
|
TUE, NOV 14
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Industry Partner Session - Epic - Clinical Decision Support: Dynamic Tools and Metrics for Success
Join presenters from multiple provider organizations as they survey the clinical decision support (CDS) landscape, discussing the latest techniques and technology for guiding clinical workflow, integrating diverse tools, and measuring success.
Speaker(s):
Speaker:
John McGreevey, MD, University of Pennsylvania Health System
Speaker:
Adam Wright, PhD, Vanderbilt University Medical Center
Speaker:
Kensaku Kawamoto, MD, PhD, MHS, University of Utah
Speaker:
David Little, Epic
Speaker:
James Doyle, Epic
Speaker:
Carissa Kathuria
Panel
Location: Churchill C2
Session Code: IPS01
|
Location: Churchill C2
Session Code: IPS01
|
2023111215:3017:00 000
|
SUN, NOV 12
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
LIEAF02
Speaker(s):
Session Chair:
Bunyamin Ozaydin, University of Alabama at Birmingham
LIEAF Session
|
LIEAF5027: Bridging the Gap Between Research and Outcomes: A Collaborative Approach to Developing Intelligent and Automated Education Interventions to Improve Bowel Preparation before Colonoscopy at Mayo Clinic
Author:
Lauren Rost, PhD, Mayo Clinic
Author:
Sarah Harper, M.A., M.B.A, Mayo Clinic
Author:
Joshua Ohde, Mayo Clinic
Author:
Ian Bezahler, M.D., Mayo Clinic
Author:
Omar Mousa, M.B.B.S., M.D., Mayo Clinic
Author:
Sushil Garg, M.B.B.S., Mayo Clinic
Speaker:
Lu Zheng, Mayo Clinic
Author:
Rajeev Chaudhry, Mayo Clinic Foundation
|
|
LIEAF5019: Updating of a Doctoral Nursing Informatics Program to Align with AACN Essentials, Industry Trends, and Workforce Needs
Speaker:
Robin Austin, PhD, DNP, DC, RN-BC, FAMIA, FNAP, University of Minnesota, School of Nursing
Author:
Sripriya Rajamani, MBBS, PhD, MPH, FAMIA, None
|
Location: Churchill C2
Session Code: LIEAF02
|
Location: Churchill C2
Session Code: LIEAF02
|
2023111308:3010:00 011
|
MON, NOV 13
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
LIEAF04
Speaker(s):
Session Chair:
Sue Feldman, RN, M.Ed., Ph.D., FACMI, University of Alabama at Birmingham
LIEAF Session
|
LIEAF5008: Undergraduate Health Informatics Accreditation: Benefits, Timeline, Pathways, and Milestones
Speaker:
Christina Eldredge, MD, PhD, University of South Florida
Speaker:
Sue Feldman, RN, M.Ed., Ph.D., FACMI, University of Alabama at Birmingham
Speaker:
Stephen Bronsburg, Ph.D, M.S., M.H.S.A., Nova Southeastern University
Speaker:
Matthew Scotch, Ph.D, M.P.H., Arizona State University
Speaker:
Linde Tesch, MS, RHIA, CAE, CAHIIM
|
Location: Churchill C2
Session Code: LIEAF04
|
Location: Churchill C2
Session Code: LIEAF04
|
2023111310:3012:00 011
|
MON, NOV 13
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
LIEAF06
Speaker(s):
Session Chair:
Sadia Afreen, INDIANA UNIVERSITY INDIANAPOLIS
LIEAF Session
|
LIEAF5025: A Nurse-Designed Big Database and Suite of Applications for Teaching/Learning Informatics
Speaker:
Ramya Govindarajan, MSPH, Emory School of Nursing
Author:
Judy Katz, MA, Emory School of Nursing
Author:
Rose Hayes, RN, BSN, MA, Emory University Nell Hodgson Woodruff School of Nursing
Author:
Roy Simpson, DNP, RN, DPNAP, FAAN, FACMI, Emory University
|
Location: Churchill C2
Session Code: LIEAF06
|
Location: Churchill C2
Session Code: LIEAF06
|
2023111408:3010:00 011
|
TUE, NOV 14
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Location: Churchill C2
Session Code: LIEAF08
|
Location: Churchill C2
Session Code: LIEAF08
|
2023111410:3012:00 012
|
TUE, NOV 14
|
5CA3544C-F141-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Sex/Gender Health Disparities - "Float"
Speaker(s):
Session Chair:
Natalie Benda, PhD, Columbia University School of Nursing
Informatics Debate
|
Sex-specific diagnostic associations and long-term outcomes of delirium
Speaker:
Lay Kodama, PhD, University of California, San Francisco
Author:
Sarah Woldemariam, PhD, UCSF
Author:
Alice Tang, BS, UCSF
Author:
Yaqiao Li, BA, UCSF
Author:
Tomiko Oskotsky, MD, UCSF
Author:
Eva Raphael, MD, UCSF
Author:
Marina Sirota, PhD, University of California, San Francisco
|
|
Leveraging A Clinical Dashboard and Process Mappings to Improve Treatment Access and Outcomes for Women Veterans with Urinary Incontinence
Speaker:
Grace Gao, PhD, DNP, RN-BC, VA Atlanta
Author:
Camille Vaughan, MD, MS, Atlanta VA Healthcare System
Author:
Alayne Markland, DO, MSc, Birmingham/Atlanta VA Geriatric Research Education and Clinical Center
Author:
Kayla Reinicke, CRNP, MSN, WHNP-BC, University of Alabama at Birmingham
Author:
Neeraja Annavaram, MBBS, MSPA, PA-C, Women’s Health Clinic
Author:
Zachary Burningham, PhD, MPH, Department of Veterans Affairs
|
|
Documentation of Sexual Orientation and Gender Identity in Electronic Health Records
Speaker:
Brittany Taylor, MPhil, BS, RN, Columbia University School of Nursing
Author:
Kasey Jackman, PhD, MS, BS, BA
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
|
|
A Computable Phenotype for the Identification of Sexual and Gender Minorities in Electronic Health Records
Speaker:
Yongqiu Li, Bachelor's degree, University of Florida
Author:
Xing He, PhD, University of Florida
Author:
Christopher Wheldon, PhD, Temple University
Author:
Yonghui Wu, PhD, University of Florida
Author:
Mattia Prosperi, PhD, University of Florida
Author:
Elizabeth Shenkman, PhD, University of Florida Health
Author:
Michael Jaffee, MD, University of Florida
Author:
Jingchuan Guo, PhD, University of Florida
Author:
Fei Wang, PhD, Weill Cornell Medicine
Author:
Yi Guo, PhD, University of Florida
Author:
Jiang Bian, PhD, University of Florida
|
|
A Systematic Review of Methods to Identify Transgender Patients in Electronic Health Records
Speaker:
Robert Becker, MS, Department of Biomedical Informatics, Vanderbilt University
Author:
Jhansi Kolli, BS, Vanderbilt University Medical Center
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
|
Location: Churchill C2
Session Code: S104
Session Credits: 1.25
|
Location: Churchill C2
Session Code: S104
Session Credits: 1.25
|
2023111509:4511:00 005
|
WED, NOV 15
|
E9DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Accessibility in Healthcare for Improved Diversity, Equity, and Inclusion: Co-design of Person-centered Informatics Solutions
Accessibility is when products, services, and facilities are built or modified so people of all abilities can use and understand them. Healthcare settings often struggle to address diverse access needs, burdening already under-served populations to create access and exacerbating existing health inequities. The American Medical Informatics Association’s (AMIA) AMIA’s commitment to Diversity, Equity, and Inclusion (DEI) entails the opportunities, resources, and community needed for everyone to succeed. Patients, caregivers, and other healthcare consumers (herein consumers) may experience accessibility barriers, such as barriers stemming from disability, comprehension of medical information (health literacy), and communication of information (language barriers). Appropriately supporting diverse access needs requires ongoing, feedback-centered approaches grounded in personal experience and community support. Accessibility may be viewed as usability for all. In recent years, there has been a shift in healthcare research, design, and service delivery to include end-users' expertise through co-design. To adequately address accessibility barriers, consumer perspectives and voices must be heard through co-design. Despite the potential of co-design to empower consumers, there is little consensus on co-design terminology, methods, and evaluation strategies. This six-hour collaborative workshop uniquely engages the AMIA community with consumers often under-represented in medical informatics discussions. The workshop teaches how to apply main co-design strategies to improve accessibility and DEI in healthcare. The workshop facilitates hands-on, group-based activities organized around disability types and provides opportunities for interaction and applying skills through challenges. The workshop engages the AMIA community in discussions about engagement opportunities, resource development, research, outcomes, and impact.
Speaker(s):
Speaker:
Adela Grando, PhD, FAMIA, Arizona State University
Author:
Rupa Valdez, University of Virginia
Author:
Katherine Kim, PhD, MPH, MBA, FAMIA, MITRE Corporation
Author:
Yong Choi, PhD, University of Pittsburgh
Author:
David Kaufman, SUNY Downstate Health Sciences University
Author:
Denis Newman-Griffis, PhD, University of Sheffield
Author:
Nick Reid, MH, Biomedical Informatics and Medical Education, University of Washington
Author:
Oliver Bear Don't Walk IV
Author:
Yunan Chen, PhD, University of California, Irvine
Author:
Liliana Laranjo, University of Sydney
Author:
Christie Martin, University of Minnesota School of Nursing
Author:
Velma Payne, PhD, MS, MBA, MS, ISU
Author:
Jessica Saw, MD, PhD, University of Illinois Urbana-Champaign
Diversity, Equity, and Inclusion
Participatory Approach/Science
User-centered Design Methods
Workshop - Collaborative
Location: Churchill C2
Session Code: W12
Session Credits: 3.50
|
Location: Churchill C2
Session Code: W12
Session Credits: 3.50
|
2023111108:3012:00 071
|
SAT, NOV 11
|
0CDBDCFC-2A98-ED11-80F4-8AF502304007
26DBDCFC-2A98-ED11-80F4-8AF502304007
4FDBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9173A080-3198-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:00 AM - 12:30 PM CST
|
|
BioCreative VIII Challenge and Workshop: Curation and Evaluation in the era of ChatGPT
SOLD OUT
Critical Assessment of Information Extraction in Biology is a community-wide effort for evaluating text mining and information extraction systems applied to the biological domain. BioCreative has been an invaluable source for advancing state-of-the-art text mining methods since 2004, by providing reference datasets and a collegial environment to develop and evaluate these methods in both shared and interactive modes. The resources and methodologies developed by BioCreative have become particularly important in the current era of large language models, providing high quality expert annotated data sets for both tuning and evaluating automated language processing systems. This workshop aims to provide a forum for AMIA community members, including clinical natural language processing researchers, bioinformatics researchers, and data curators, to present and discuss advances in text mining for health applications. The BioCreative workshop seeks to attract researchers interested in automatic methods of extracting medically relevant information from clinical data and aims to bring together the medical NLP community and the health professionals community. The workshop will include peer-reviewed paper presentations from the shared task participants. The shared task will involve three tracks relevant to medical-related information extraction and a fourth track focused on developments of new annotation tools. The W23 program can be found here.
Speaker(s):
Speaker:
Rezarta Islamaj, Ph.D., National Institutes of Health, National Library of Medicine
Author:
Lynette Hirschman
Author:
Graciela Gonzalez-Hernandez, Ph. D., Cedars-Sinai Medical Center
Author:
Martin Krallinger
Author:
Cecilia Arighi, Ph. D.
Author:
Zhiyong Lu, Ph.D FACMI, National Library of Medicine, NIH
Author:
Davy Weissenbacher, PhD
Author:
Ian Campbell
Natural Language Processing
Evaluation
Information Extraction
Workshop - Collaborative
Location: Churchill C2
Session Code: W23
Session Credits: 4.00
|
Location: Churchill C2
Session Code: W23
Session Credits: 4.00
|
2023111208:0012:30 082
|
SUN, NOV 12
|
24DBDCFC-2A98-ED11-80F4-8AF502304007
13DBDCFC-2A98-ED11-80F4-8AF502304007
61A568D3-7E9E-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
9B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Instructional Workshop (3-hour): Preparing, Conducting, and Analyzing Participatory Design Sessions for Information Visualizations
SOLD OUT
The purpose of this interactive instructional workshop is to provide a hands-on learning opportunity for those interested in developing information visualizations through participatory design. Our team has conducted dozens of design sessions with diverse types of end users (e.g., patients, providers, and interpreters) in a variety of languages through both virtual and in-person sessions. Through these experiences, we have learned that the efficiency, ease, and rigor of participatory design depends heavily on procedural details and practical considerations not previously addressed in the literature. In the interest of demystifying the process for others and supporting the training of research team members, we created a design session manual meant to serve as a practical guide for researchers and other professionals to use for planning, conducting, and analyzing participatory design sessions. In this workshop, we will teach participants about our manual and highlight key points of preparation, execution, and analysis. Attendees will then take part in a series of interactive exercises to apply what they have learned about participatory design in small groups. By the end of this workshop, participants will have learned several important attributes of designing, conducting, and analyzing participatory design sessions and will also gain direct experience with key aspects of the participatory design process. They will leave with a comprehensive toolkit comprising the manual and supporting templates and checklists that can help guide their future design work.
Speaker(s):
Speaker:
Adriana Arcia, PhD, RN, FAAN, University of San Diego
Speaker:
Samantha Stonbraker, PhD, MPH, RN, University of Colorado Anschutz Medical Campus
Speaker:
Sabrina Mangal, PhD, RN, University of Washington School of Nursing
Speaker:
Maichou Lor, PhD, RN, University of Wisconsin-Madison
Information Visualization
Education and Training
User-centered Design Methods
Workshop - Instructional
Location: Churchill C2
Session Code: W16
Session Credits: 3.00
|
Location: Churchill C2
Session Code: W16
Session Credits: 3.00
|
2023111113:0016:30 075
|
SAT, NOV 11
|
1DDBDCFC-2A98-ED11-80F4-8AF502304007
12DBDCFC-2A98-ED11-80F4-8AF502304007
4FDBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
A373A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Industry Partner Session - Triomics - Building a community driven Large Language Model For Oncology (OncoLLM): Call for Collaboration
The majority of clinical data in oncology is embedded in notes, which are hard to analyze and interpret at scale. Currently, manual abstraction is still mainstream and the most accurate way to decipher and properly control the quality of clinical notes, but as we have all experienced, this method is labor-intensive, expensive, and unscalable, limiting the true potential for advanced clinical research. Against this backdrop, Triomics, in collaboration with Ci4CC, has undertaken a pioneering initiative: creating an oncology-focused LLM aimed at revolutionizing how cancer data is managed within the realm of clinical research and trials.
Speaker(s):
Speaker:
Hrituraj Singh, Triomics, Inc.
Speaker:
Sarim Khan, Triomics, Inc.
Speaker:
John Philip, Memorial Sloan Kettering Cancer Center
Speaker:
Anai Kothari, Medical College of Wisconsin
Speaker:
John Philip, Memorial Sloan Kettering Cancer Center
Panel
Location: Churchill C2
Session Code: IPS08
|
Location: Churchill C2
Session Code: IPS08
|
2023111413:4515:15 012
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Industry Partner Session - Clinical Architecture - The Topology of Data Quality
In this Industry Partner Session, we will discuss the tactics for incremental and iterative improvement of data quality and where can we make an impact. Since changing the data in flight is problematic, whose responsibility is it to maintain or create high quality data? How can you and your organization impact it in a safe way? The panel of experts will discuss how the various components of data quality are interconnected and how your organization might be able to positively impact the quality of data that you are using or sending.
Speaker(s):
Speaker:
Lu de Souza, Oracle Cerner
Speaker:
Stephanie Broderick, Clinical Architecture
Speaker:
Russell Leftwich, MD, FAMIA, InterSystems Corporation
Speaker:
Charlie Harp, Clinical Architecture
Speaker:
Phil Lindemann, Epic
Speaker:
Derek Plansky, Health Gorilla
Panel
Location: Churchill C2
Session Code: IPS05
|
Location: Churchill C2
Session Code: IPS05
|
2023111315:3017:00 012
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Research Applications of LLMs - "Prompt-ly"
Speaker(s):
Session Chair:
Li Zhou, MD, Ph.D., Brigham and Women’s Hospital
Oral Presentation
|
Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach
Speaker:
Xu Zuo, M.S., UTHealth Health Science Center at Houston
Author:
Yujia Zhou, M.D, M.S, UTHealth
Author:
Jon Duke, MD, MS, Georgia Tech Research Institute
Author:
George Hripcsak, MD, MS, Columbia University Irving Medical Center
Author:
Nigam Shah, MBBS, PhD, Stanford University
Author:
Juan Banda, PhD, Georgia State University
Author:
Ruth Reeves, PhD, Vanderbilt University
Author:
Tim Miller, PhD, Children's Hospital Boston/Harvard Medical School
Author:
Lemuel Waitman, PHD, University of Missouri
Author:
Karthik Natarajan, PhD, Columbia University Dept of Biomedical Informatics
Author:
Hua Xu, PhD, Yale University
|
|
Use GPT-J Prompt Generation with RoBERTa for NER Models on Diagnosis Extraction of Periodontal Diagnosis from Electronic Dental Records
Speaker:
Yao-Shun Chuang, Master's Degree, University of Texas Health Science Center at Houston
Author:
Xiaoqian Jiang, University of Texas Health Science Center at Houston, University of Texas Health Science Center at Houston
Author:
Chun-Teh Lee, DDS, MS, DMSc, The University of Texas Health Science Center at Houston School of Dentistry
Author:
Ryan Brandon, MS, Temple University Kornberg School of Dentistry
Author:
Duong Tran, PhD, The University of Texas Health Science Center at Houston School of Dentistry
Author:
Oluwabunmi A Tokede, PhD, The University of Texas Health Science Center at Houston School of Dentistry
Author:
Muhammad F Walji, PhD, The University of Texas Health Science Center at Houston School of Dentistry
|
Location: Grand Ballroom D
Session Code: S82
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S82
Session Credits: 1.50
|
2023111415:3017:00 005
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
Location: Grand Ballroom D
Session Code: S25
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S25
Session Credits: 1.50
|
2023111310:3012:00 008
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
AMIA Informatics on the Hill: Public Policy Year-in-Review
Please join AMIA’s policy staff and Public Policy Committee to learn about AMIA’s policy process, updates, and success in 2023 as well as goals for 2024. Discussion topics will include addressing a Clinical Informatics Occupation Code, the many comments written in 2023, and AMIA’s Public Policy “North Stars."
Speaker(s):
Speaker:
Reva Singh, AMIA
Speaker:
Deepti Pandita, MD, FACP, FAMIA, Hennepin Health
Speaker:
Carl Johnson, Merck
Speaker:
Tayler Williams, AMIA
Panel
Location: Grand Ballroom D
Session Code: S98
Session Credits: 1.25
|
Location: Grand Ballroom D
Session Code: S98
Session Credits: 1.25
|
2023111508:0009:15 010
|
WED, NOV 15
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Engaging Stakeholders in Technology Design for Older Adults and People with Disabilities: Implications for Research and Implementation
Despite the potential benefits of patient-centered informatics interventions, challenges to their adoption still exist, particularly for individuals facing aging-related challenges, disabilities, and insufficient resources, experience, and support. As user-centered design approaches are increasingly pursued, stakeholder engagement in technology design has become essential to ensure the success of technology deployment. Yet, limited research characterizes the process and methods of identifying and selecting stakeholders, exploring stakeholder perceptions, and determining the stages and levels of engagement in the design of informatics systems. The purpose of this panel is to highlight use cases of stakeholder involvement in various stages of design to identify the user needs, preferences, and requirements of informatics solutions designed for specific exemplar groups (i.e., older adults and people with disabilities). We will discuss challenges and strategies for building meaningful partnerships with multiple stakeholders.
Speaker(s):
Speaker:
Jane Chung, PhD., RN., Virginia Commonwealth University
Speaker:
Anne Turner, MD, MLIS, MPH, FACMI, University of Washington
Speaker:
Rupa Valdez, University of Virginia
Speaker:
Robin Brewer, PhD, University of Michigan
Speaker:
George Demiris, PhD, University of Pennsylvania
Participatory Approach/Science
User-centered Design Methods
Patient Engagement and Preferences
Panel
Location: Grand Ballroom D
Session Code: S59
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S59
Session Credits: 1.50
|
2023111410:3012:00 002
|
TUE, NOV 14
|
26DBDCFC-2A98-ED11-80F4-8AF502304007
4FDBDCFC-2A98-ED11-80F4-8AF502304007
EA8B5E30-7D9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DBDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
FHIRizing Health Research Data for Sharing and Reuse: Challenges and Opportunities
The National Institutes of Health (NIH) has prioritized research data sharing and interoperability to enable reproducibility of research and translation of research to knowledge, products and procedures that improve human health. NIH recognizes the role of standards in driving interoperability of research data to ensure they are reusable. As the central coordinating body for clinical terminology standards within the United States Department of Health and Human Services (HHS), the National Library of Medicine has provided leadership in NIH efforts to advance the use of health data standards in research including the Health Level Seven International (HL7®) Fast Healthcare Interoperability Resources (FHIR®) specification. As part of NIH efforts to advance the use of FHIR in research, NLM and other NIH-funded efforts are working to integrate FHIR into information services or research data platforms. This panel will provide examples of ongoing efforts to implement the FHIR specification across several research efforts in the context of NIH’s broader data sharing goals. Panelists will discuss their experiences in doing so, share challenges and opportunities in implementing the FHIR specification and working with FHIR data, and discuss with audience members how gaps can be addressed.
Speaker(s):
Speaker:
Teresa Zayas Cabán
Speaker:
Robert Carroll, PhD, Vanderbilt University Medical Center
Speaker:
Allison Heath, PhD, Children's Hospital of Philadelphia
Speaker:
Mike Feolo, MS
Speaker:
Liz Amos, MLIS, National Library of Medicine
Data Sharing
Interoperability and Health Information Exchange
Data standards
Panel
Location: Grand Ballroom D
Session Code: S67
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S67
Session Credits: 1.50
|
2023111413:4515:15 001
|
TUE, NOV 14
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
1FDBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Implications of Digital Advances on Clinical Guideline Trustworthiness and Dissemination Through a Reimagined National Repository
The Agency for Healthcare Research and Quality's (AHRQ’s) National Guideline Clearinghouse (NGC) was a frequently visited publicly available resource for objective information about evidence-based clinical practice guidelines. Funding cuts ended NGC. New funding may permit a relaunch of NGC; however, with advances in technology, standards (e.g., CPGonFHIR), informatics, ‘living guidelines’, and more, what should a New NGC be able to do, especially for its informatics and implementation audiences? Following presentations of the latest informatics research related to clinical practice guidelines, the audience will interact with the panelists to reimagine a New NGC repository for the digital future.
Speaker(s):
Author:
Mary Nix, MS, AHRQ
Speaker:
Edwin Lomotan, MD, AHRQ
Speaker:
Mario Teran, MD, MSc, AHRQ
Speaker:
David Dorr, MD, MS, Oregon Health & Science University
Clinical Guidelines
Clinical Decision Support
Standards
Panel
Location: Grand Ballroom D
Session Code: S108
Session Credits: 1.25
|
Location: Grand Ballroom D
Session Code: S108
Session Credits: 1.25
|
2023111509:4511:00 009
|
WED, NOV 15
|
FDDADCFC-2A98-ED11-80F4-8AF502304007
FCDADCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Integrating Implementation Science and Systems Thinking to Advance Biomedical Informatics Research and Practice
Implementing biomedical informatics (BMI) applications into health settings remains a significant challenge that has been highlighted with increasing focus on incorporating Artificial Intelligence/Machine Learning into practice. Post-implementation issues such as unintended consequences (UICs) including workflow, usability, communication, and social and organizational issues are common occurrences1,2 . Overcoming these issues requires new approaches for the implementation of health information technology (HIT) that considers the broader systems and contexts where HIT is used. This workshop will discuss how the integration of systems thinking and implementation science can improve our understanding of HIT implementation issues to inform HIT design and implementation.
Speaker(s):
Speaker:
Craig Kuziemsky, PhD, MacEwan University
Speaker:
Mustafa Ozkaynak, PhD, University of Colorado-Denver | Anschutz Medical Campus
Speaker:
Kim Unertl, PhD, Vanderbilt University Medical Center
Speaker:
Saira Naim Haque
Evaluation
Qualitative Methods
Usability
Workshop - Instructional
Location: Grand Ballroom D
Session Code: W17
Session Credits: 3.00
|
Location: Grand Ballroom D
Session Code: W17
Session Credits: 3.00
|
2023111113:0016:30 076
|
SAT, NOV 11
|
13DBDCFC-2A98-ED11-80F4-8AF502304007
32DBDCFC-2A98-ED11-80F4-8AF502304007
4DDBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9E73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Natural Language Processing Working Group Pre-Symposium: Graduate Student Consortium, Lighting Talk on State-of-the-art Biomedical and Clinical NLP, and a Tutorial on ChatGPT and Prompt Engineering
SOLD OUT
Natural Language Processing (NLP) for clinical and biomedical narratives is one of the well-established, yet rapidly growing and constantly gaining popularity areas of Medical Informatics. As this research field expands, the need for broader community engagement and resource sharing continues. As a result, the AMIA NLP-WG Pre-Symposium became a venue where AMIA researchers with an interest in NLP come together and focus on the issues that augment the NLP-oriented presentations and events during AMIA Fall Symposium. These workshops have provided significant learning opportunities for newcomers to the field and have supported the advancement of the state-of-the-art and sharing of resources and applications. In support of these goals, the AMIA NLP working group pre-symposium continues the tradition since its inception in 2012 to provide a unique platform for close interactions among students, scholars, and industry professionals who are interested in clinical NLP. For a half-day in-person workshop, we will have three sections: 1) a graduate student consortium, an educational activity where students present their work and get feedback from experienced researchers in the field; 2) a lighting talks session featuring state-of-the-art biomedical and clinical NLP applications and methodologies; and 3) a tutorial on ChatGPT and prompt engineering techniques for biomedical and clinical NLP tasks.
Speaker(s):
Speaker:
Joseph Plasek, PhD
Speaker:
Satya Sahoo, PhD, Case Western Reserve University
Speaker:
Steven Bedrick, PhD, Oregon Health & Science University
Speaker:
Yanshan Wang, PhD, University of Pittsburgh
Natural Language Processing
Education and Training
Ethical, Legal, Regulatory, and Social Issues
Workshop - Collaborative
Location: Grand Ballroom D
Session Code: W03
|
Location: Grand Ballroom D
Session Code: W03
|
2023111108:3012:00 062
|
SAT, NOV 11
|
24DBDCFC-2A98-ED11-80F4-8AF502304007
12DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
The Unique Privacy Challenges for Vulnerable Pediatric Populations, Including Sexual and Gender Minorities, Adolescents in Foster Care, Unaccompanied and Undocumented Minors, and Victims of Child Abuse
The 21st Century Cures Act was enacted to improve access to electronic health information (EHI). While the Act has been beneficial in some cases, its effect on vulnerable pediatric populations has been problematic, sometimes leading to unintended disclosure of sensitive EHI. Vulnerable pediatric populations, including sexual and gender minorities, youth in foster care, unaccompanied and undocumented minors, and victims of abuse, have increased healthcare needs, especially in areas of mental health, reproductive health, and substance abuse. These youth may be able to provide consent for some aspects of their healthcare, but other care may require consent from a parent or guardian. Consent is also complicated because regulations vary by state. In addition, the youth’s EHI may be accessible to biological parents, foster parents, caseworkers, and legal personnel, as well as medical professionals. Without assured confidentiality, youths are less likely to discuss sensitive health information with their providers, which can lead to gaps in care and missed diagnoses. However, confidentiality practices may also result in information being withheld unnecessarily. The panelists will share research and experience highlighting the conflict between protecting EHI for these youth and allowing access to appropriate persons.
Speaker(s):
Speaker:
Brittany Taylor, MPhil, BS, RN, Columbia University School of Nursing
Speaker:
Marianne Sharko, MD, MS, Weill Cornell Medical College Health Policy and Research
Speaker:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Speaker:
Yashika Sharma, MPhil, MSN, RN
Speaker:
Stephanie Nino de Rivera, BA, Columbia University
Data Sharing
Ethical, Legal, Regulatory, and Social Issues
Pediatrics
Panel
Location: Grand Ballroom D
Session Code: S11
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S11
Session Credits: 1.50
|
2023111308:3010:00 003
|
MON, NOV 13
|
05DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
52DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
DCDADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
A473A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
NLP & Data Pipelines - "Here, There and Everywhere"
Speaker(s):
Session Chair:
Adam Wilcox, PhD, Washington University in St. Louis
Oral Presentation
|
Weak Supervision Assisted NLP Knowledge Engineering for Cohort Accrual of Breast Cancer Treatment Associated Cardiotoxicity
Speaker:
Liwei Wang, M.D., Ph.D, Mayo Clinic
Author:
xiaoyang ruan, PhD, Mayo Clinic
Author:
Huan He, PhD, Mayo Clinic
Author:
Andrew Wen, MS, Mayo Clinic
Author:
Nan Wang, B.S., University of Minnesota
Author:
Sunyang Fu, PhD
Author:
Heling Jia, MD
Author:
Taylor Harrison, M.B.A., Mayo Clinic
Author:
Kathryn Ruddy, M.D., Mayo Clinic
Author:
Suzette Bielinski, PhD, Mayo Clinic
Author:
Hongfang Liu, PhD, Mayo Clinic
|
|
De-identifying Norwegian clinical text using resources from Swedish and Danish
Author:
Anastasios Lamproudis, M.Sc., Norwegian Center for E-Health research
Author:
Sara Mora, Ph.D.
Author:
Hercules Dalianis, Ph.d., Stockholm University
Author:
Phuong Ngo, Ph.D., Norwegian Centre for Ehealth Research
Speaker:
Taridzo Chomutare, Ph.D., Norwegian Centre for E-health Research
Author:
Torbjorn Torsvik
Author:
Therese Svenning, M.Sc. in Epidimiology, None
|
|
LeafAI: A data model-agnostic query application for cohort discovery and multi-hop reasoning using natural language
Speaker:
Nicholas Dobbins, MLIS, University of Washington
Author:
Bin Han
Author:
Weipeng Zhou, MS
Author:
Kristine Lan, MS
Author:
H. Nina Kim, MD, MSc
Author:
Robert Harrington, MD
Author:
Ozlem Uzuner, PhD, George Mason University
Author:
Meliha Yetisgen, PhD, University of Washington
|
|
The SMART Text2FHIR Pipeline
Speaker:
Tim Miller, PhD, Children's Hospital Boston/Harvard Medical School
Author:
Andrew McMurry, PhD, Boston Children's Hospital/Harvard Medical School
Author:
James Jones, MPhil, Boston Children's Hospital
Author:
Dan Gottlieb, MPA, Boston Children's Hospital
Author:
Kenneth Mandl, MD, MPH, Boston Children's Hospital/Harvard Medical School
|
Location: Grand Ballroom D
Session Code: S34
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S34
Session Credits: 1.50
|
2023111313:4515:15 008
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Access and Reimbursement - "Dollars and Cents"
Speaker(s):
Session Chair:
David Vawdrey, PhD, Geisinger
Oral Presentation
|
Improving Clinical Evaluations for Non-Accidental Trauma using Clinical Decision Support
Speaker:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
Author:
Sarah Thompson, RN, BSN, MSHMI, Children's Healthcare of Atlanta
Author:
Edwin Ray, RN, Childrens Healthcare of Atlanta
Author:
Reena Blanco, MD, Emory University
Author:
Kiesha Fraser Doh, MD, Emory University
Author:
Ting Chang, MD, Children Healthcare of Atlanta
Author:
Stephen Messner, MD, Childrens Healthcare of Atlanta
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
|
|
Comparison of EHR-derived clinical workload and reimbursement
Speaker:
Sunny Lou, MD, PhD, Washington University, St. Louis
Author:
Laura Baratta, BA, Washington University School of Medicine in St. Louis
Author:
Daphne Lew, PhD, MPH, Washington University School of Medicine
Author:
Derek Harford, BA, Washington University School of Medicine
Author:
Michael Avidan, MBBCh, Washington University School of Medicine
Author:
Thomas Kannampallil, PhD, Washington University School of Medicine
|
Location: Grand Ballroom D
Session Code: S46
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S46
Session Credits: 1.50
|
2023111315:3017:00 009
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Cancer Informatics - "I Won’t Back Down"
Speaker(s):
Session Chair:
Umit Topaloglu, National Cancer Institute
Oral Presentation
|
DeepHeme: A generalizable, bone marrow classifier with hematopathologist-level performance
Speaker:
Shenghuan (Harry) Sun, B.S., University of California San Francisco
Author:
jacob Cleave, B.S., Memorial Sloan Kettering Cancer Center,
Author:
Linlin Wang, M.D., UCSF
Author:
Fabienne Lucas, M.D.,Ph.D., Brigham and Women's Hospital
Author:
Laura Brown, PhD
Author:
Jacob Spector, MD, UCSF
Author:
Leonardo Boiocchi, MD, Memorial Sloan Kettering Cancer Center
Author:
Jeeyeon Baik, MD, Memorial Sloan Kettering Cancer Center
Author:
Menglei Zhu, MD, PhD, Memorial Sloan Kettering Cancer Center
Author:
Orly Ardon, PhD, Memorial Sloan Kettering Cancer Center
Author:
Chuanyi Lu, MD, UCSF
Author:
Ahmet Dogan, MD,PhD, Memorial Sloan Kettering Cancer Center
Author:
Dmitry Goldgof, PhD, University of South Florida
Author:
Iain Carmichael, PhD, UC Berkeley
Author:
Sonam Prakash, MD, UCSF
Author:
Atul Butte, MD PhD, UCSF
Author:
Gregory Goldgof, MD,PhD,, Memorial Sloan Kettering Cancer Center
|
|
Using Machine Learning to Predict the Severity of Cancer Symptoms
Speaker:
Yue Yu, Ph.D., Mayo Clinic
Author:
Kathryn Ruddy, M.D., Mayo Clinic
Author:
Nan Huo, M.D; Ph.D, Mayo Clinic
Author:
Nansu Zong, PhD., Mayo Clinic
Author:
Deirdre Pachman, M.D., Mayo Clinic
Author:
Guohui Xiao, Ph.D., University of Bergen
Author:
Christopher Chute, MD, DrPH, Johns Hopkins University
Author:
Emily Pfaff, PhD, UNC Chapel Hill School of Medicine
Author:
Andrea Cheville, MD, MSCE, Mayo Clinic College of Medicine
Author:
Guoqian Jiang, M.D. Ph.D., Mayo Clinic College of Medicine
|
|
Improving physical activity among prostate cancer survivors through a peer-based digital walking program
Speaker:
Savitha Sangameswaran, Phdc, University of Washington, Biomedical & Health Informatics Program
Author:
Reggie Casanova-Perez, MS, Department of Biomedical Informatics and Medical Education, University of Washington
Author:
Harsh Patel, BS, University of Washington
Author:
David Cronkite, MS
Author:
Ayah Idris, BS
Author:
Dori Rosenberg, PhD
Author:
Jonathan Wright, University of Washington
Author:
John Gore, University of Washington
Author:
Andrea Hartzler, PhD, University of Washington
|
Location: Grand Ballroom D
Session Code: S55
Session Credits: 1.50
|
Location: Grand Ballroom D
Session Code: S55
Session Credits: 1.50
|
2023111408:3010:00 007
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:45 PM - 3:15 PM CST
|
|
Nursing - "Healing Hands"
Speaker(s):
Session Chair:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Oral Presentation
|
Staff and Patient Interactions at An Assisted Living Facility: A Longitudinal Descriptive Study
Speaker:
Carolyn Sun, PhD, RN, ANP-BC, FAAN, Hunter College
Author:
Caitlin Burke, DNP, RN, NE-BC, HN-BC, Inspiren, Inc.
|
|
Speaker type identification in audio recorded patient-nurse verbal communication in Home Healthcare setting: A feasibility study
Speaker:
Maryam Zolnoori, Dr., Columbia University
Author:
Sasha Vergez, B.S., VNS Health
Author:
Sridevi Sridharan, VNSNY
Author:
Ali Zolnour, M.S., Columbia University
Author:
Sepehr Rafiei, B.S., Tehran Unviersity
Author:
Kathy Bowles, PhD, RN, University of Pennsylvania
Author:
Zoran Kostic, Dr., Columbia University
Author:
Max Topaz, PhD, RN, MA, FAAN, Columbia University School of Nursing
|
|
Development and Usability Testing of an Exercise-Based Primary Care Fall Prevention Clinical Decision Support Tool
Speaker:
Christian Tejeda, B.S., Brigham and Women's Hospital
Author:
Pamela Garabedian, M.S., Mass General Brigham Inc.
Author:
Hannah Rice, B.A.
Author:
Lipika Samal, M.D., M.P.H., Brigham and Women's Hospital
Author:
Nancy Latham, Ph.D., P.T.
Author:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
|
|
Variability in Nursing Documentation Patterns across Patients’ Hospital Stays
Speaker:
Rachel Lee, PHD, RN, Columbia University Department of Biomedical Informatics
Author:
Chris Knaplund, MPhil, Columbia School of Nursing
Author:
Jennifer Withall, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Syed Mohtashim Bokhari, PhD
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
|
|
Reducing Burden, Improving Documentation Efficiency and Suggestion Adoption by Tailoring Decision Support Format to Nurses’ Graph Literacy: A National Web-Based RCT
Speaker:
Karen Dunn Lopez, PhD, MPH, RN, FAAN, University of Iowa College of Nursing
Author:
Yingwei Yao, PhD, University of Florida
Author:
Ragnhildur Bjarnadottir, PhD, MPH, RN, University of Florida
Author:
Tamara Macieira, PhD, RN, University of Florida
Author:
Fabiana Dos Santos, MS, RN, University of Florida College of Nursing
Author:
Olatunde Madandola, MPH,RN, University of Florida, College of Nursing
Author:
Hwayoung Cho, PhD, RN, University of Florida College of Nursing
Author:
Karen Priola, MSCIS, University of Florida
Author:
Jessica Wolf, MSN,RN, University of Iowa
Author:
Diana Wilkie, PhD, RN, FAAN, University of Florida
Author:
Gail Keenan, PhD, RN, FAAN, University of Florida, College of Nursing
|
|
An EHR-based Comparative Analysis of the Distribution of Pressure Injury Anatomical Locations and Stages and Associated Disparities Across a Large Healthcare System
Speaker:
Wenyu Song, PHD, Brigham and Women's Hospital, Harvard Medical School
Author:
Luwei Liu, MBI
Author:
Michael Sainlaire, MS, Brigham and Women's Health
Author:
Sandy Cho, MPH, RN
Author:
Debra Furlong, MS, RN -BC
Author:
Wadia Gilles-Fowler, BSN, RN, CWOCN
Author:
Lisa Herlihy, MSN, RN
Author:
Min Jeoung Kang, PhD, RN, Brigham and Women's Hospital/ Harvard Medical School
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
Author:
Beth Melanson, MS, RN, ACNS-BC, CWOCN, CCRN
Author:
Jacqueline Massaro, MSN, RN, ACNS-BC, CWOCN
Author:
Tanya Martel, DNP, FNP-BC. CWOCN
Author:
Paula Wolski, MSN, RN-BC, Brigham and Womens Faulkner Hospital
Author:
Linying Zhang, MS, Washington University in St. Louis
Author:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
|
Location: Grand Ballroom B
Session Code: S75
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S75
Session Credits: 1.50
|
2023111413:4515:15 009
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
5:30 PM - 6:30 PM CST
|
|
AMIA and Annual Symposium Orientation
Join fellow attendees to network, meet new colleagues, and gain a sense of what to expect throughout the conference. This gathering is intended to help attendees maximize their experience at Symposium.
Networking
Location: Grand Ballroom B
Session Code: FTO1
|
Location: Grand Ballroom B
Session Code: FTO1
|
2023111117:3018:30 000
|
SAT, NOV 11
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:30 AM - 10:00 AM CST
|
|
Improving Clinical Quality - "Be Good"
Speaker(s):
Session Chair:
Deepti Pandita, MD, FACP, FAMIA, Hennepin Health
Oral Presentation
|
Testing of an Electronic Clinical Quality Measure for Diagnostic Delay of Venous Thromboembolism (DOVE) in Primary Care
Speaker:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
Author:
Mica Bowen, BA, Brigham and Women's Hospital
Author:
Frank Chang, MSE, Mass General Brigham
Author:
Jin Chen, PhD, University of Alabama at Birmingham
Author:
Krissy Gray, AAS, University of Kentucky
Author:
John Laurentiev, MS, Brigham and Women’s Hospital
Author:
Lucy Liu, MSB, Brigham and Women's Hospital
Author:
Purushottam Panta, MS, University of Kentucky
Author:
Michael Sainlaire, MS, Brigham and Women's Health
Author:
Wenyu Song, PHD, Brigham and Women's Hospital, Harvard Medical School
Author:
Ania Syrowatka, PhD, Brigham and Women's Hospital/Harvard Medical School
Author:
Tien Thai, BS, Brigham and Women's Health
Author:
Li Zhou, MD, Ph.D., Brigham and Women’s Hospital
Author:
David Bates, MD, Brigham and Women's Hospital
Author:
Lipika Samal, M.D., M.P.H., Brigham and Women's Hospital
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
|
|
Leveraging Natural Language Processing and Electronic Health Record Data to Estimate the Delivery of Goal-Discordant Care at the End of Life
Speaker:
Alaa AlBashayreh, PhD, MSHI, RN, University of Iowa
Author:
Keela Herr, PhD, RN, AGSF, FGSA, FAAN, University of Iowa
Author:
Stephanie Gilbertson-White, PhD, APRN-BC, University of Iowa
Author:
Weiguo Fan, PhD
|
Location: Grand Ballroom B
Session Code: S13
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S13
Session Credits: 1.50
|
2023111308:3010:00 005
|
MON, NOV 13
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
1:00 PM - 4:30 PM CST
|
|
Clinical Decision Support Standards to Facilitate Evidence-Based Health Care and Quality Improvement: Latest Developments and What You Need to Know
Clinical decision support (CDS) can help improve clinical practice and health behaviors. The use of health information technology (HIT) standards for encoding data, representing knowledge and delivering knowledge-based interventions in turn can help facilitate implementation of CDS. However, many standards from numerous standards development organizations (SDOs) exist. Consensus on the use of these standards is lacking. Moreover, new work on CDS standards related to clinical quality measurement and value-based health care has increased the complexity of this domain. The Health Level Seven International (HL7) Fast Healthcare Interoperability Resources (FHIR) standard for patient data representation is particularly pertinent in light of its prominent inclusion in the 21st Century Cures Act Final Rule published by the Office of the National Coordinator for HIT (ONC) in the USA. Accordingly, the leaders of this half-day instructional workshop, who are the elected co-chairs of the HL7 CDS Work Group, will address two educational objectives focused on CDS standards that facilitate quality improvement and value-based care. First, attendees will learn details of and latest developments in extant and proposed HIT standards used for CDS and which attendees may need to use. Second, attendees will recognize how these standards relate to one another and can be used to implement CDS that improves outcomes. These include the HL7 Arden Syntax, Clinical Quality Language (CQL), CDS Hooks, SMART on FHIR, and FHIR Clinical Reasoning standards. Through interaction with workshop leaders, attendees will be able to contribute ideas regarding refinement and use of standards to facilitate CDS.
Speaker(s):
Speaker:
Robert Jenders, MD, MS, Charles Drew University/UCLA
Speaker:
Kensaku Kawamoto, MD, PhD, MHS, University of Utah
Speaker:
Bryn Rhodes, BA, Smile Digital Health
Speaker:
Howard Strasberg, MD, MS, Wolters Kluwer Health
Speaker:
Isaac Vetter, Epic
Clinical Decision Support
Knowledge Representation and Information Modeling
Standards
Workshop - Instructional
Location: Grand Ballroom B
Session Code: W19
Session Credits: 3.00
|
Location: Grand Ballroom B
Session Code: W19
Session Credits: 3.00
|
2023111113:0016:30 078
|
SAT, NOV 11
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
20DBDCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E8DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 5:00 PM CST
|
|
Functional Status Data Interoperability and Artificial Intelligence Challenges and Opportunities
Patient functional status information, such as self-care ability, is a proximal health indicator enabling earlier and possibly more effective interventions and is a significant predictor of re-hospitalization risk, length of stay, and death, as well as quality of life post-hospitalization. There is variation in and a lack of availability of functional status documentation among clinical disciplines and amid acute and post-acute healthcare settings. Federal efforts are underway to address functional status information standardization and interoperability challenges along the care continuum. Interoperability would enable availability for artificial intelligence to identify patients at risk of deterioration and likely to benefit from interventions, improving patient outcomes. Panelists will discuss these challenges and opportunities, and present as exemplars the operational and research uses of functional status data including the potential to develop artificial intelligence applications. Session learning objectives are: to describe functional status information, standards and interoperability challenges, and inclusion in artificial intelligence applications.
Speaker(s):
Speaker:
Paulina Sockolow, DrPH MS MBA, Drexel University
Speaker:
Edgar Chou, MD, Thomas Jefferson University
Speaker:
Suzanne Tamang, PhD, Stanford University
Speaker:
Jessica Skopac, PhD, JD, MA, MITRE Corporation
Speaker:
Denis Newman-Griffis, PhD, University of Sheffield
Interoperability and Health Information Exchange
Machine Learning
Data standards
Panel
Location: Grand Ballroom B
Session Code: S40
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S40
Session Credits: 1.50
|
2023111315:3017:00 003
|
MON, NOV 13
|
1FDBDCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
DC09CE8D-7E9E-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:30 PM - 5:00 PM CST
|
|
Harnessing the electronic safety net to improve patient care at the bedside: critical practices for sustainable implementation
Electronic data are omnipresent in daily patient care at acute care hospitals. The deluge of data, however, is rarely harnessed to support clinicians at the bedside, including in high cognitive load environments like the Emergency Department or Intensive Care Unit. The ability to effectively leverage electronic data for decision support systems could have a significant impact on patient care. This promise if often stymied by challenges with real-world implementation. Given the unprecedented pressure on hospital staffing, finances, and resources, thoughtful and strategic implementation is critical now more than ever to ensure sustainability and impact at the bedside. The panelists will review the key components in building and implementing such systems in the hospital, provide examples of real-world applications, and describe ongoing challenges and opportunities in this work. The panel will place particular emphasis on what clinicians, scientists, and other stakeholders within healthcare organizations should consider during implementation. These will include aspects such as problem identification, value definition, operational planning, implementation, impact evaluation, and overall governance.
Speaker(s):
Moderator:
Ashley Beecy, MD
Speaker:
Kyan Safavi, MD, MBA, Mass General Brigham
Speaker:
David Bates, MD, Brigham and Women's Hospital
Speaker:
Vincent Liu, MD, MS, Kaiser Permanente Division of Research
Speaker:
Sara Murray, MD, MAS, University of California, San Francisco
Healthcare Quality
Patient Safety
Change Management
Panel
Location: Grand Ballroom B
Session Code: S80
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S80
Session Credits: 1.50
|
2023111415:3017:00 003
|
TUE, NOV 14
|
17DBDCFC-2A98-ED11-80F4-8AF502304007
29DBDCFC-2A98-ED11-80F4-8AF502304007
EA65A8AD-42A2-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:30 AM - 10:00 AM CST
|
|
Health systems as product innovators: creating an ecosystem to build, implement, and scale emerging technologies
Digital technologies are transforming healthcare, and health systems can lean in on their care delivery expertise to be active innovators as builders rather than passive customers of vendors. A panel of representatives from Providence Health, Penn Medicine, Brigham and Women's Hospital, and Stanford Medicine will discuss building and scaling ecosystems for digital innovation. Topics will include operating models, measuring value, leadership buy-in, sustainability, and using clinical informatics for organizational transformation.
Speaker(s):
Speaker:
Ron Li, MD, Stanford School of Medicine
Speaker:
Andy Chu, BS, Providence Health System
Speaker:
Haipeng (Mark) Zhang, DO MMSc, Brigham and Women's Hospital
Speaker:
Yevgeniy Gitelman, MD, Penn Medicine
Speaker:
Jennifer Tran, PharmD
Informatics Implementation
Teaching Innovation
Change Management
Panel
Location: Grand Ballroom B
Session Code: S52
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S52
Session Credits: 1.50
|
2023111408:3010:00 004
|
TUE, NOV 14
|
1ADBDCFC-2A98-ED11-80F4-8AF502304007
48DBDCFC-2A98-ED11-80F4-8AF502304007
EA65A8AD-42A2-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
1:45 PM - 3:15 PM CST
|
|
Integrating Patient Preferences in Patient-Centered Clinical Decision Support: Where Are We Now and Where Do We Go Next?
Patient-centered clinical decision support (PC CDS) is CDS designed to support individual patients in health-related decisions. The Agency for Healthcare Research and Quality (AHRQ) supports a range of projects to accelerate the effective use of PC CDS in practice. Understanding patient preferences as part of decision-making is a critical aspect of patient-centered care and requires a better understanding of the preferences relevant to PC CDS and the steps involved for implementation. Featuring findings from AHRQ’s Clinical Decision Support Innovation Collaborative (CDSiC), this panel discusses the importance of considering patient perspective in clinical decision making, and describes efforts to define patient preferences, capture the current state of standards for patient preference data, and highlight examples of its use in the real-world.
Speaker(s):
Speaker:
Priyanka Desai, PhD, MPH, CPH, NORC at the University of Chicago
Speaker:
Gilad Kuperman, MD PhD, Memorial Sloan Kettering Cancer Center
Speaker:
Rachel Richesson, PhD, MS, MPH, University of Michigan Medical School
Speaker:
Liz Salmi, N/A
Speaker:
James Swiger, MBE, Agency for Healthcare Research and Quality
Clinical Decision Support
Personal Health Informatics
Standards
Panel
Location: Grand Ballroom B
Session Code: S29
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S29
Session Credits: 1.50
|
2023111313:4515:15 003
|
MON, NOV 13
|
FCDADCFC-2A98-ED11-80F4-8AF502304007
2BDBDCFC-2A98-ED11-80F4-8AF502304007
3BDBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:30 AM - 12:00 PM CST
|
|
Knowledge Representation and Semantics Working Group Pre-Symposium Workshop 2023: Special Focus on KRS in Artificial Intelligence for Health
The AMIA Knowledge Representation and Semantics Working Group (KRS-WG) is a community supporting informatics researchers, implementers, and users interested in knowledge representation topics. We propose a half day collaborative pre-symposium workshop hosted by the KRS-WG. The proposed workshop will benefit the AMIA community by providing a venue for KRS-WG members and non-members to gather, learn, and discuss the state of the art in biomedical knowledge representation. The objective of this pre-symposium collaborative workshop is to enhance awareness of knowledge representation and semantics approaches within biomedical informatics; to provide a venue to disseminate new developments in the field; and to facilitate new collaborations. This instance of the workshop will include a special focus on knowledge representation approaches in combination with other artificial intelligence approaches, applied to problems in biomedical informatics, and will feature a panel of informaticists engaged in such efforts.
Speaker(s):
Speaker:
Jonathan Bona, PhD, MS, University of Arkansas for Medical Sciences (UAMS)
Speaker:
Nansu Zong, PhD., Mayo Clinic
Controlled Terminologies, Ontologies, and Vocabularies
Knowledge Representation and Information Modeling
Machine Learning
Workshop - Collaborative
Location: Grand Ballroom B
Session Code: W10
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: W10
Session Credits: 1.50
|
2023111108:3012:00 069
|
SAT, NOV 11
|
01DBDCFC-2A98-ED11-80F4-8AF502304007
20DBDCFC-2A98-ED11-80F4-8AF502304007
21DBDCFC-2A98-ED11-80F4-8AF502304007
E6DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D7DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8A73A080-3198-ED11-80F4-8AF502304007
9973A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 12:00 PM CST
|
|
NIH Funding and Resources Supporting Clinical Informatics and Data Science Research
The National Institutes of Health (NIH) provides numerous resources and funding opportunities to support clinical informatics and data science research, allowing researchers to advance knowledge and improve human health. Within NIH, the National Library of Medicine (NLM) and the Office of Data Science Strategy (ODSS) have a shared interest in supporting the clinical informatics community. In this panel, we will describe both funding opportunities and resources available from NLM and ODSS to support clinical informatics and data science research. NLM and ODSS staff will share their insights and perspectives on the grant application process and highlight resources that support researchers in this field.
Speaker(s):
Speaker:
Allison Dennis, PhD, National Institutes of Health, National Library of Medicine
Speaker:
Richard Palmer, DrPH, JD, National Institutes of Health, National Library of Medicine
Speaker:
Bart Trawick, PhD, National Institutes of Health, NLM/NCBI
Speaker:
Steve Tsang, Ph.D., National Institutes of Health
Speaker:
Yanli Wang, PhD, National Institutes of Health
Education and Training
Ethical, Legal, Regulatory, and Social Issues
Evaluation
Panel
Location: Grand Ballroom B
Session Code: S18
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S18
Session Credits: 1.50
|
2023111310:3012:00 001
|
MON, NOV 13
|
12DBDCFC-2A98-ED11-80F4-8AF502304007
14DBDCFC-2A98-ED11-80F4-8AF502304007
13DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6A73A080-3198-ED11-80F4-8AF502304007
D9DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8C73A080-3198-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 12:00 PM CST
|
|
Workflow - "Whistle While You Work"
Speaker(s):
Session Chair:
Mustafa Ozkaynak, PhD, University of Colorado-Denver | Anschutz Medical Campus
Oral Presentation
|
Putting the Cart in Front of the Horse: Defining Workflows and Tasks to Inform Model Prediction Targets
Speaker:
Mark Mai, MD, Children's Healthcare of Atlanta
Author:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
Author:
Naveen Muthu, MD, Children's Healthcare of Atlanta
Author:
Nikolay Braykov, MS, Children's Healthcare of Atlanta
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
|
|
Specialty-specific considerations impacting utilization of clinical pathways in the electronic health records system
Speaker:
Jeniann Yi, MD MS, University of Colorado School of Medicine
Author:
Ashley Dafoe, MA, ACCORDS
Author:
Anunta Virapongse, MD MPH, University of Colorado
Author:
Sarah Wendel, MD MBA, UVA
Author:
Brooke Dorsey Holliman, PhD, ACCORDS
Author:
CT Lin, MD, UCHealth - Colorado
Author:
Ethan Cumbler, MD, University of Colorado
|
|
A Practical Approach to Optimize Computerized Provider Order Entry Systems and Reduce Clinician Burden: Pre-Post Evaluation of Vendor-Derived “Order Friction” Data
Speaker:
Elise Ruan, MD, MPH, Columbia University Department of Biomedical Informatics
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Hanson Hsu, MD, New York Presbyterian-Weill Cornell Medical Center
Author:
Eugene Kim, MD, Boston Children's Hospital
Author:
Richard Trepp, MD, NY Presbyterian Hospital
|
|
Development and Usability Evaluation of a Prescribing Feedback Tool
Speaker:
Shilo Anders, PhD, Vanderbilt University Medical Center
Author:
Carrie Reale, MSN, RN, Vanderbilt University Medical Center
Author:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Russ Beebe, BA, Vanderbilt University Medical Center
Author:
Robert Winter, BA
Author:
Dax Westerman, MS, Vanderbilt University Medical Center Department of Biomedical Informatics
Author:
Jesse Wrenn, MD, PhD, VUMC
Author:
Jin Han, MD, MSC
Author:
Melissa Rubenstein, MPH, PMP
Author:
Michael Ward, PhD, MBA, Vanderbilt University Medical Ctr
Author:
Michael Matheny, MD, MS, MPH, Vanderbilt University Medical Center
|
Location: Grand Ballroom B
Session Code: S63
Session Credits: 1.50
|
Location: Grand Ballroom B
Session Code: S63
Session Credits: 1.50
|
2023111410:3012:00 006
|
TUE, NOV 14
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
9:45 AM - 11:00 AM CST
|
|
Blueprints for Trust: Best Practices and Regulatory Pathways for Ethical AI in Healthcare Conference
The rapid integration of artificial intelligence (AI) in medicine, mirroring its wide adoption across sectors, presents both promises and challenges to medicine. From analyzing pathology slides to aiding cancer treatments, these technologies demand careful evaluation due to privacy, accuracy, and transparency concerns. The emergence of large language models in 2022 made futuristic ideas feasible, yet reliability questions persist. Beth Israel Deaconess Medical Center's Division of Clinical Informatics (DCI) introduced the DCI Network in 2022, gathering experts to explore healthcare intricacies. In 2023, DCI collaborated with AMIA to organize a conference convening experts to analyze AI’s impact on healthcare. Prior to the event, webinars covered themes like bioethics and empowered patient views. The conference highlighted three key themes: (1) AI’s Role in Training for Reliable Real-World Data Use; (2) AI's Role in Clinical Decision-Making; (3) AI's Role in Empowering Patient Clinical Knowledge. This panel examines opportunities, challenges, and legislative suggestions resulting from discussions.
Speaker(s):
Speaker:
Amar Das, MD, PhD, Guardant Health
Speaker:
Leon Rozenblit, JD, PhD, The Q.E.D. Institute
Speaker:
Steven Labkoff, MD, FACP, FACMI, FAMIA, Quantori
Speaker:
Gretchen Purcell Jackson, MD PhD FACS FACMI FAMIA, Intuitive Surgical / Vanderbilt University Medical Center
Speaker:
Yuri Quintana, Beth Israel Deaconess Medical Center
Speaker:
Magdala Cherry, DO, MBS, MPH
Panel
Location: Grand Ballroom BC
Session Code: S110
Session Credits: 1.25
|
Location: Grand Ballroom BC
Session Code: S110
Session Credits: 1.25
|
2023111509:4511:00 011
|
WED, NOV 15
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
11:15 AM - 12:15 PM CST
|
|
Closing Session: Awards and Keynote Presentation
Ziad Obermeyer is Associate Professor and Blue Cross of California Distinguished Professor at UC Berkeley, where he works at the intersection of machine learning and health. He is a Chan Zuckerberg Biohub Investigator, a Faculty Research Fellow at the National Bureau of Economic Research, and was named an Emerging Leader by the National Academy of Medicine. His papers appear in a wide range of journals (ICML, JAMA, Nature Medicine, the New England Journal of Medicine, the Quarterly Journal of Economics, Science), and win awards from professional societies in medicine and economics.
Dr. Obermeyer’s work on algorithmic bias is frequently cited in the public debate about artificial intelligence, and in federal and state regulatory guidance and investigations. He is a co-founder of Nightingale Open Science, a non-profit that makes massive new medical imaging datasets available for research, and Dandelion Health, a data platform for AI innovation. Previously, he was a consultant at McKinsey & Co., and an Assistant Professor at Harvard Medical School. He continues to practice emergency medicine in underserved communities.
Speaker(s):
Speaker:
Ziad Obermeyer, University of California Berkeley
Plenary Session
Location: Grand Ballroom BC
Session Code: CS1
|
Location: Grand Ballroom BC
Session Code: CS1
|
2023111511:1512:15 000
|
WED, NOV 15
|
141478C8-6147-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 9:15 AM CST
|
|
Making EHRs SAFER: Evidence-based Informatics Solutions for Supporting Clinician Cognition
While the use of electronic health records (EHRs) has improved the coordination and quality of patient care, poor EHR design and usability can lead to issues affecting clinician cognition that may result in adverse events that can harm patients. CMS is now requiring eligible hospitals to attest that they performed a safety assessment of their EHR systems using the ONC SAFER Guides. Full adoption of SAFER recommendations, however, is low particularly in two domains: using health IT safely and using health IT to monitor and improve safety. This session highlights recent research to develop and evaluate methodologies and tools that can help healthcare organizations make progress in these domains. Participants in this session will learn about how to use these methodologies and tools and engage in a discussion (led by an author of the SAFER Guides) about next steps to assist with adoption of SAFER practices.
Speaker(s):
Speaker:
Kevin Chaney, MGS, Agency for Healthcare Research and Quality
Speaker:
Aaron Hettinger, MD, MS, National Center for Human Factors in Healthcare
Speaker:
Yalini Senathirajah, PhD
Speaker:
Jason Adelman, MD MS, Columbia University Irving Medical Center/NewYork-Presbyterian
Speaker:
Hardeep Singh, MD, MPH, Houston VA Center of Innovation & Baylor College of Medicine
Human-computer Interaction
Usability
Workflow
Panel
Location: Grand Ballroom BC
Session Code: S89
Session Credits: 1.25
|
Location: Grand Ballroom BC
Session Code: S89
Session Credits: 1.25
|
2023111508:0009:15 001
|
WED, NOV 15
|
18DBDCFC-2A98-ED11-80F4-8AF502304007
4DDBDCFC-2A98-ED11-80F4-8AF502304007
50DBDCFC-2A98-ED11-80F4-8AF502304007
E1DADCFC-2A98-ED11-80F4-8AF502304007
6C73A080-3198-ED11-80F4-8AF502304007
6B73A080-3198-ED11-80F4-8AF502304007
D8DADCFC-2A98-ED11-80F4-8AF502304007
6D73A080-3198-ED11-80F4-8AF502304007
6973A080-3198-ED11-80F4-8AF502304007
8B73A080-3198-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:00 PM - 1:30 PM CST
|
|
Location: Norwich
Session Code: CMTE3
|
Location: Norwich
Session Code: CMTE3
|
2023111312:0013:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
9:00 AM - 10:30 AM CST
|
|
Location: Chequers
Session Code: CBHIE1
|
Location: Chequers
Session Code: CBHIE1
|
2023111209:0010:30 000
|
SUN, NOV 12
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Chequers
Session Code: CMTE1
|
Location: Chequers
Session Code: CMTE1
|
2023111215:3017:00 000
|
SUN, NOV 12
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:00 PM - 1:30 PM CST
|
|
Location: Chequers
Session Code: JAMIA2
|
Location: Chequers
Session Code: JAMIA2
|
2023111312:0013:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:00 PM - 6:30 PM CST
|
|
Location: Chequers
Session Code: CMTE6
|
Location: Chequers
Session Code: CMTE6
|
2023111317:0018:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 8:30 AM CST
|
|
Location: Chequers
Session Code: CPD1
|
Location: Chequers
Session Code: CPD1
|
2023111407:0008:30 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Friday, Nov 10, 2023
|
Friday, Nov 10, 2023
4:00 PM - 6:00 PM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR1
|
Location: Newberry
Session Code: SR1
|
2023111016:0018:00 000
|
FRI, NOV 10
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
7:30 AM - 5:00 PM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR2
|
Location: Newberry
Session Code: SR2
|
2023111107:3017:00 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:30 AM - 5:00 PM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR3
|
Location: Newberry
Session Code: SR3
|
2023111207:3017:00 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:30 AM - 5:00 PM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR4
|
Location: Newberry
Session Code: SR4
|
2023111307:3017:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:30 AM - 5:00 PM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR5
|
Location: Newberry
Session Code: SR5
|
2023111407:3017:00 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:30 AM - 11:00 AM CST
|
|
Speaker Ready Room
Presenters may utilize the Speaker Ready Room to preview their presentation, upload any changes to their presentation and prepare for their session.
General Conference
Location: Newberry
Session Code: SR6
|
Location: Newberry
Session Code: SR6
|
2023111507:3011:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:30 PM - 1:30 PM CST
|
|
Location: Jackson
Session Code: WG10
|
Location: Jackson
Session Code: WG10
|
2023111312:3013:30 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:30 AM - 1:30 PM CST
|
|
Location: Jackson
Session Code: FLP1
|
Location: Jackson
Session Code: FLP1
|
2023111207:3013:30 101
|
SUN, NOV 12
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:00 AM - 8:00 AM CST
|
|
Location: Jackson
Session Code: WG1
|
Location: Jackson
Session Code: WG1
|
2023111507:0008:00 000
|
WED, NOV 15
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
3:30 PM - 5:00 PM CST
|
|
Location: Jackson
Session Code: CMTE2
|
Location: Jackson
Session Code: CMTE2
|
2023111215:3017:00 000
|
SUN, NOV 12
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 8:30 AM CST
|
|
Diversity, Equity and Inclusion Committee Meeting
This meeting is for member volunteers of the Diversity, Equity and Inclusion (DEI) Steering Committee and Subcommittees. Session includes breakouts for the subcommittees and transition to the new 2024-2025 term. New volunteers welcome.
DEI Committee Chairs: Robert Lucero, Rubina Rizvi, Oliver Bear Don't Walk; DEI Subcommittee Co-chairs: Shefali Haldar, Hu Huang, Terika McCall, Kim Unertl, Arlene Chung, Denis Newman-Griffis, Tony Solomonides, Benjamin Collins, Jose Florez-Arango, Catherine Craven, Kevin Wiley.
DEI Subcommittees:
Recruitment: external outreach to marginalized or historically excluded groups to build awareness of AMIA and the informatics profession co-chairs
Retention and Advancement: internally focused on growing a diverse set of AMIA leaders
Communications: promote diverse informatics voices, research, and activities through AMIA communications channels and advocate for more inclusive research in informatics journals
Education, Governance, and Policy: build DEI practices into AMIA’s structure; contribute to policy responses; support DEI member education activities
Advancement of Health Equity and Antiracism in Healthcare: position AMIA to become a thought leader in addressing these topics at the intersection with informatics; serve as an organizational convener for education, research, and policy
Committee Meeting
Location: Jackson
Session Code: DEI1
|
Location: Jackson
Session Code: DEI1
|
2023111307:0008:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
1:30 PM - 5:30 PM CST
|
|
National Burden Reduction Collaborative Meeting (by invitation)
This meeting is by invitation only. The National Burden Reduction Collaborative brings together national stakeholder organizations and regulators to share ongoing research, knowledge, and initiatives around documentation burden and clinician burnout reduction to understand organizational priorities and align efforts.
Committee Meeting
Location: Jackson
Session Code: NBRC1
|
Location: Jackson
Session Code: NBRC1
|
2023111413:3017:30 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Friday, Nov 10, 2023
|
Friday, Nov 10, 2023
5:00 PM - 8:30 PM CST
|
|
Location: Jackson
Session Code: ANI1
|
Location: Jackson
Session Code: ANI1
|
2023111017:0020:30 000
|
FRI, NOV 10
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
7:00 AM - 5:30 PM CST
|
|
Nursing Mothers Room
Equipped with electricty and seating, the Nursing Mother's Room is accessed through a key obtained at Registration.
General Conference
Location: Warwick
Session Code: NM1
|
Location: Warwick
Session Code: NM1
|
2023111107:0017:30 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:00 AM - 5:30 PM CST
|
|
Nursing Mothers Room
Equipped with electricty and seating, the Nursing Mother's Room is accessed through a key obtained at Registration.
General Conference
Location: Warwick
Session Code: NM2
|
Location: Warwick
Session Code: NM2
|
2023111207:0017:30 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 5:30 PM CST
|
|
Nursing Mothers Room
Equipped with electricty and seating, the Nursing Mother's Room is accessed through a key obtained at Registration.
General Conference
Location: Warwick
Session Code: NM3
|
Location: Warwick
Session Code: NM3
|
2023111307:0017:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 5:30 PM CST
|
|
Nursing Mothers Room
Equipped with electricty and seating, the Nursing Mother's Room is accessed through a key obtained at Registration.
General Conference
Location: Warwick
Session Code: NM4
|
Location: Warwick
Session Code: NM4
|
2023111407:0017:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:00 AM - 12:00 PM CST
|
|
Nursing Mothers Room
Equipped with electricty and seating, the Nursing Mother's Room is accessed through a key obtained at Registration.
General Conference
Location: Warwick
Session Code: NM5
|
Location: Warwick
Session Code: NM5
|
2023111507:0012:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 5:30 PM CST
|
|
Quiet Room
The quiet room (low sensory room) is available for anyone who needs a few minutes of quiet or relaxation. Room can be accessed by a key obtained at Registration.
General Conference
Location: Durham
Session Code: QR5
|
Location: Durham
Session Code: QR5
|
2023111407:0017:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
7:00 AM - 5:30 PM CST
|
|
Quiet Room
The quiet room (low sensory room) is available for anyone who needs a few minutes of quiet or relaxation. Room can be accessed by a key obtained at Registration.
General Conference
Location: Durham
Session Code: QR1
|
Location: Durham
Session Code: QR1
|
2023111107:0017:30 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:00 AM - 5:30 PM CST
|
|
Quiet Room
The quiet room (low sensory room) is available for anyone who needs a few minutes of quiet or relaxation. Room can be accessed by a key obtained at Registration.
General Conference
Location: Durham
Session Code: QR2
|
Location: Durham
Session Code: QR2
|
2023111207:0017:30 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 5:30 PM CST
|
|
Quiet Room
The quiet room (low sensory room) is available for anyone who needs a few minutes of quiet or relaxation. Room can be accessed by a key obtained at Registration.
General Conference
Location: Durham
Session Code: QR3
|
Location: Durham
Session Code: QR3
|
2023111307:0017:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
7:00 AM - 12:00 PM CST
|
|
Quiet Room
The quiet room (low sensory room) is available for anyone who needs a few minutes of quiet or relaxation. Room can be accessed by a key obtained at Registration.
General Conference
Location: Durham
Session Code: QR4
|
Location: Durham
Session Code: QR4
|
2023111507:0012:00 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
8:00 AM - 5:00 PM CST
|
|
Childcare Room
Kids Camp childcare is open to children ages 6 months – 12 years. Full day and hourly rates are available. Visit https://www.accentregister.com/Event/CEvents/7078 for more information.
General Conference
Location: Windsor
Session Code: CR1
|
Location: Windsor
Session Code: CR1
|
2023111108:0017:00 000
|
SAT, NOV 11
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:00 AM - 5:00 PM CST
|
|
Childcare Room
Kids Camp childcare is open to children ages 6 months – 12 years. Full day and hourly rates are available. Visit https://www.accentregister.com/Event/CEvents/7078 for more information.
General Conference
Location: Windsor
Session Code: CR2
|
Location: Windsor
Session Code: CR2
|
2023111208:0017:00 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:00 AM - 5:00 PM CST
|
|
Childcare Room
Kids Camp childcare is open to children ages 6 months – 12 years. Full day and hourly rates are available. Visit https://www.accentregister.com/Event/CEvents/7078 for more information.
General Conference
Location: Windsor
Session Code: CR3
|
Location: Windsor
Session Code: CR3
|
2023111308:0017:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:00 AM - 5:00 PM CST
|
|
Childcare Room
Kids Camp childcare is open to children ages 6 months – 12 years. Full day and hourly rates are available. Visit https://www.accentregister.com/Event/CEvents/7078 for more information.
General Conference
Location: Windsor
Session Code: CR4
|
Location: Windsor
Session Code: CR4
|
2023111408:0017:00 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
8:00 AM - 1:30 PM CST
|
|
Childcare Room
Kids Camp childcare is open to children ages 6 months – 12 years. Full day and hourly rates are available. Visit https://www.accentregister.com/Event/CEvents/7078 for more information.
General Conference
Location: Windsor
Session Code: CR5
|
Location: Windsor
Session Code: CR5
|
2023111508:0013:30 000
|
WED, NOV 15
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
6:00 PM - 7:30 PM CST
|
|
Location: Camp
Session Code: WINE1
|
Location: Camp
Session Code: WINE1
|
2023111118:0019:30 000
|
SAT, NOV 11
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
6:30 PM - 8:00 PM CST
|
|
Location: Camp
Session Code: DEI2
|
Location: Camp
Session Code: DEI2
|
2023111318:3020:00 000
|
MON, NOV 13
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 PM - 8:00 PM CST
|
|
Location: Camp
Session Code: WGR1
|
Location: Camp
Session Code: WGR1
|
2023111419:0020:00 000
|
TUE, NOV 14
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:10 PM - 1:40 PM CST
|
|
Triomics Corporate Roundtable - Developing an Oncology-Focused Large Language Model (Onco-LLM) (by invitation)
Large Language Models, such as OpenAI's ChatGPT, have taken the world by storm. However, their lack of understanding of clinical datasets has hindered their applications in clinical care and research. Against this backdrop, Triomics, in partnership with several leading cancer centers and Ci4CC, is spearheading the development of a specialized oncology-focused large language model. This model aims to assist the wider community by facilitating the use of data embedded in clinical notes for applications such as patient matching and data abstraction for EDC entry in clinical trials. Join this roundtable to learn more about the collaboration, its structure, and how your cancer center can potentially participate and benefit.
Speaker(s):
Speaker:
Sarim Khan, Triomics, Inc.
Speaker:
Hrituraj Singh, Triomics, Inc.
Panel
Location: Magazine
|
Location: Magazine
|
2023111312:1013:40 103
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:00 AM - 12:00 PM CST
|
|
AMIA 10x10 at OHSU In-person Session
Learners who have completed any recent OHSU 10x10 course are invited to attend this in-person session for the course to meet fellow students, present their course projects, and otherwise discussion biomedical and health informatics. Pre-registration is required for attendance at this session.
Oral Presentation
Location: Magazine
Session Code: TEN1
|
Location: Magazine
Session Code: TEN1
|
2023111208:0012:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 8:30 AM CST
|
|
Location: Magazine
Session Code: HSC1
|
Location: Magazine
Session Code: HSC1
|
2023111307:0008:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:00 PM - 6:00 PM CST
|
|
Location: Magazine
Session Code: ALNI1
|
Location: Magazine
Session Code: ALNI1
|
2023111317:0018:00 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Magazine
Session Code: AF2
|
Location: Magazine
Session Code: AF2
|
2023111417:3019:00 000
|
TUE, NOV 14
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Wednesday, Nov 15, 2023
|
Wednesday, Nov 15, 2023
6:30 AM - 7:30 AM CST
|
|
Location: Magazine
Session Code: CMTE14
|
Location: Magazine
Session Code: CMTE14
|
2023111506:3007:30 000
|
WED, NOV 15
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:10 PM - 1:40 PM CST
|
|
314e Corporation Roundtable - Unified Health Data Platform (by invitation)
A unified health data platform has been recognized for some time as the best way to leverage information and analytics to deliver value through business use cases. However, in the past, healthcare data warehousing has been cumbersome, difficult, and constrained by the use of proprietary big-data and warehouse platforms. This has changed in the past few years with the advent of open-source data frameworks like Spark, the popularization of concepts like the Lakehouse, the utilization of storage formats like Parquet and Delta-Lake, and the widespread adoption of healthcare standards like FHIR.
In this round table, 314e Corporation shall demonstrate the features and use of a unified Health Data Platform, including the following elements:
- Setting up a Health Data Platform by creating robust ETL/ELT and Data Management Processes to integrate healthcare data of various types – including clinical data, administrative claims, care management data, and social determinants of health.
- The utilization of healthcare standards like FHIR to represent and store the data and make it directly leverageable for business use cases like clinical reporting, gaps-in-care identification, risk adjustment, and clinical quality measures.
- The use of the Lakehouse architecture to create a stable, scalable, and easy-to-use healthcare data warehouse.
- Master Data Management including De-Duplication and Enterprise Master Entity Indices to make sure that patient records are not fragmented.
- Data Ops to orchestrate the health data pipelines for both streaming and batch use cases..
- Addressing multiple healthcare business use cases including:
- Business Intelligence and Dashboards for clinical and business users
- Clinical Quality Measures and Reporting for compliance and quality reasons
- Financial Metrics and Dashboards to track medical expenses and revenue trends
- Advanced Visualization to bring out patterns in the healthcare data
- Clinical Natural Language Processing to process unstructured clinical notes and other free-text data
- Natural Language based querying of data to help lay users understand the data
- AI/Machine Learning and Predictive Models for various clinical and financial use cases
- The utilization of Generative AI for healthcare use cases
- APIs and Applications on top of the Health Data Platform
- Digital Transformation of a Healthcare Organization
Takeaways:
After this roundtable, you will gain a deep understanding of how to create and leverage a unified health data platform to address your healthcare organization’s needs and use cases.
Speaker(s):
Speaker:
Siv Raman, MD, MS
Speaker:
Kesav Kolla
General Conference
Location: Magazine
|
Location: Magazine
|
2023111412:1013:40 108
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:00 AM - 11:30 AM CST
|
|
Location: St. James Ballroom
|
Location: St. James Ballroom
|
2023111208:0011:30 100
|
SUN, NOV 12
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:30 PM - 9:00 PM CST
|
|
AMIA Party with a Purpose (registration required)
Come support the AMIA Leadership and Education Awards Donation (LEAD) Fund at this new, exclusive event that includes a swag bag, signature cocktail, dessert, a selfie station, and VIP access to the AMIA Dance Party -- all for just $99.
General Conference
Networking
Location: St. James Ballroom
|
Location: St. James Ballroom
|
2023111419:3021:00 104
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 6:30 PM CST
|
|
Location: St. James Ballroom
Session Code: JAMIA5
|
Location: St. James Ballroom
Session Code: JAMIA5
|
2023111317:3018:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
9:00 PM - 12:00 AM CST
|
|
Dance Party
Pack your dancing shoes as the fun continues at our Annual Dance Party. Dress code: Come as you are!
General Conference
Location: St. James Ballroom
Session Code: DP1
|
Location: St. James Ballroom
Session Code: DP1
|
2023111421:0000:00 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 8:30 AM CST
|
|
Location: St. James Ballroom
Session Code: AF1
|
Location: St. James Ballroom
Session Code: AF1
|
2023111307:0008:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Royal
Session Code: WG7
|
Location: Royal
Session Code: WG7
|
2023111217:3019:00 000
|
SUN, NOV 12
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Royal
Session Code: WG15
|
Location: Royal
Session Code: WG15
|
2023111317:3019:00 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
6:00 PM - 7:00 PM CST
|
|
Location: Royal
Session Code: WG19
|
Location: Royal
Session Code: WG19
|
2023111418:0019:00 000
|
TUE, NOV 14
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
8:00 AM - 12:00 PM CST
|
|
AMIA 10x10 with VA In-person Session
Learners who have completed any recent VA 10X10 course are invited to attend this in-person session for the course to meet fellow students, present course projects, and otherwise engage in a discussion of biomedical and health informatics.
Oral Presentation
Location: Royal
Session Code: TEN2
|
Location: Royal
Session Code: TEN2
|
2023111208:0012:00 000
|
SUN, NOV 12
|
040C1CFE-CDA7-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
8:00 PM - 9:30 PM CST
|
|
AMIA DEI-ME Career Mentoring Event
DEI-ME Career Mentoring Event is group mentoring and networking event hosted by the DEI Retention and Advancement Subcommittee. It provides an inclusive experience with diversity, equity and inclusion discussion topics. DEI-ME is a welcoming and safe space to discuss workplace challenges, bias and career advancement. Subjects include LGBTQIA+, BIPOC, intersectionality, accessibility, navigating bias, mentoring pathways. Learn more https://amia.org/education-events/amia-2023-annual-symposium/dei-me
Sponsored by Merck & Co., Inc.
Networking
Location: Royal
Session Code: DEI3
|
Location: Royal
Session Code: DEI3
|
2023111320:0021:30 000
|
MON, NOV 13
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:00 AM - 8:30 AM CST
|
|
Location: Royal
|
Location: Royal
|
2023111307:0008:30 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
11:15 AM - 1:15 PM CST
|
|
Location: Fulton
Session Code: PD1
|
Location: Fulton
Session Code: PD1
|
2023111211:1513:15 000
|
SUN, NOV 12
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
7:30 AM - 8:30 AM CST
|
|
AMIA 25x5 Task Force
This is a closed meeting for the Task Force. The AMIA 25x5 Task Force is working to reduce clinician documentation burden. For more information about the task force work, including the 25x5 Burden Reduction Toolkit, please visit our web site https://amia.org/about-amia/amia-25x5.
Working Group
Location: Prince of Wales
Session Code: TFF1
|
Location: Prince of Wales
Session Code: TFF1
|
2023111307:3008:30 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:00 PM - 1:30 PM CST
|
|
Location: Prince of Wales
Session Code: CMTE4
|
Location: Prince of Wales
Session Code: CMTE4
|
2023111312:0013:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:00 PM - 6:30 PM CST
|
|
Location: Prince of Wales
Session Code: FAMIA1
|
Location: Prince of Wales
Session Code: FAMIA1
|
2023111317:0018:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 8:00 AM CST
|
|
Location: Prince of Wales
Session Code: CMTE7
|
Location: Prince of Wales
Session Code: CMTE7
|
2023111407:0008:00 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:00 PM - 6:30 PM CST
|
|
Location: Prince of Wales
Session Code: CMTE11
|
Location: Prince of Wales
Session Code: CMTE11
|
2023111417:0018:30 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
4:30 PM - 6:00 PM CST
|
|
Location: Eglinton Winton
|
Location: Eglinton Winton
|
2023111116:3018:00 000
|
SAT, NOV 11
|
6E037561-9046-EE11-80F5-C3E5968D533D
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Eglinton Winton
Session Code: WG6
|
Location: Eglinton Winton
Session Code: WG6
|
2023111217:3019:00 000
|
SUN, NOV 12
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Eglinton Winton
Session Code: WG14
|
Location: Eglinton Winton
Session Code: WG14
|
2023111317:3019:00 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:00 PM - 1:30 PM CST
|
|
Location: Eglinton Winton
Session Code: JAMIA1
|
Location: Eglinton Winton
Session Code: JAMIA1
|
2023111312:0013:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 4:30 PM CST
|
|
Location: Eglinton Winton
Session Code: CMTE5
|
Location: Eglinton Winton
Session Code: CMTE5
|
2023111315:3016:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
7:00 AM - 8:30 AM CST
|
|
Location: Eglinton Winton
Session Code: CMTE8
|
Location: Eglinton Winton
Session Code: CMTE8
|
2023111407:0008:30 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 11:30 AM CST
|
|
DEI Book Club Kick-off and Meet & Greet
Join Benjamin X. Collins, MD, DEI Education Co-chair and Peter Kizza, PhD, as fellow readers in the upcoming 2023-2024 DEI Book Club!
The DEI Book Club Kick-off and Meet & Greet is open to all and hosted by the DEI Education, Governance and Policy Subcommittee. No prior reading required to attend!
Weathering: The Extraordinary Stress of Ordinary Life in an Unjust Society by Dr. Arline T. Geronimus.
-Provides a context centered on effects of systemic injustice on health
-Gives foundation based on research and suggests ways to make improvements
-Provides a framework for a way to think about these issues
-May support thinking about informatics from a different and inclusive perspective
(Future DEI Book Club meetings will be hosted online.)
Networking
Location: Eglinton Winton
Session Code: DEI4
|
Location: Eglinton Winton
Session Code: DEI4
|
2023111410:3011:30 000
|
TUE, NOV 14
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:00 PM - 6:30 PM CST
|
|
Location: Eglinton Winton
Session Code: CMTE12
|
Location: Eglinton Winton
Session Code: CMTE12
|
2023111417:0018:30 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Cambridge
|
Location: Cambridge
|
2023111217:3019:00 000
|
SUN, NOV 12
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
5:00 PM - 6:00 PM CST
|
|
Location: Marlborough A
Session Code: WG2
|
Location: Marlborough A
Session Code: WG2
|
2023111117:0018:00 000
|
SAT, NOV 11
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
Location: Marlborough A
Session Code: WG12
|
Location: Marlborough A
Session Code: WG12
|
2023111317:3019:00 000
|
MON, NOV 13
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:30 PM - 4:00 PM CST
|
|
Location: Marlborough A
Session Code: AF3
|
Location: Marlborough A
Session Code: AF3
|
2023111315:3016:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:00 PM - 1:30 PM CST
|
|
Location: Marlborough A
Session Code: ACIF1
|
Location: Marlborough A
Session Code: ACIF1
|
2023111312:0013:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:15 PM - 6:15 PM CST
|
|
Location: Marlborough A
|
Location: Marlborough A
|
2023111217:1518:15 000
|
SUN, NOV 12
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:00 PM - 6:00 PM CST
|
|
Location: Marlborough A
Session Code: ACIF2
|
Location: Marlborough A
Session Code: ACIF2
|
2023111417:0018:00 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:30 PM - 7:00 PM CST
|
|
LGBTQIA+ QuINE #QueerinAMIA DEI Reception
The LGBTQIA+ QuINE #QueerinAMIA Reception is open to all members, attendees, AMIA leaders and interested volunteers who identify as part of, or are allies of, the LGBTQIA+ community! (Cash bar)
Networking
Location: Canal
Session Code: LGBTQ1
|
Location: Canal
Session Code: LGBTQ1
|
2023111317:3019:00 000
|
MON, NOV 13
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
8:00 PM - 9:30 PM CST
|
|
Location: Canal
Session Code: SE1
|
Location: Canal
Session Code: SE1
|
2023111420:0021:30 000
|
TUE, NOV 14
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:10 PM - 1:40 PM CST
|
|
Location: Commerce
|
Location: Commerce
|
2023111412:1013:40 105
|
TUE, NOV 14
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Saturday, Nov 11, 2023
|
Saturday, Nov 11, 2023
6:30 PM - 7:30 PM CST
|
|
Location: Commerce
Session Code: WG3
Session Credits: 1.50
|
Location: Commerce
Session Code: WG3
Session Credits: 1.50
|
2023111118:3019:30 000
|
SAT, NOV 11
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
7:00 AM - 8:00 AM CST
|
|
Location: Commerce
Session Code: WG4
|
Location: Commerce
Session Code: WG4
|
2023111207:0008:00 000
|
SUN, NOV 12
|
6C037561-9046-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:00 PM - 6:00 PM CST
|
|
Location: Commerce
Session Code: CMTE10
|
Location: Commerce
Session Code: CMTE10
|
2023111417:0018:00 000
|
TUE, NOV 14
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:00 PM - 6:30 PM CST
|
|
Location: Commerce
|
Location: Commerce
|
2023111317:0018:30 000
|
MON, NOV 13
|
6E037561-9046-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
12:10 PM - 1:40 PM CST
|
|
InterSystems Corporate Roundtable - Deploying ChatGPT in Clinical Care: An Interactive Exploration of Possibilities and Challenges (by invitation)
In this focus group, we will delve into the emerging role of ChatGPT in modern healthcare delivery and informatics research. The session will explore both the theoretical and practical aspects of integrating Large Language Model into diverse clinical settings, seeking to understand its potential to enhance patient-provider interaction, medical documentation, patient education, and clinical decision support.
Drawing on real-world applications and cases, participants will examine how such models can augment clinical care while navigating the unique ethical, privacy, and quality control issues they raise.
The primary objective of this focus group is to identify key considerations and best practices for leveraging ChatGPT and similar AI technologies in clinical care. The group will also discuss ways to design appropriate safeguards for data security, patient safety, and algorithmic transparency.
Speaker(s):
Speaker:
Russell Leftwich, MD, FAMIA, InterSystems Corporation
Speaker:
Laury Liu, InterSystems
Panel
Location: Commerce
|
Location: Commerce
|
2023111312:1013:40 104
|
MON, NOV 13
|
E1DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
6:30 AM - 7:45 AM CST
|
|
AMIA Fun Run/Walk
Join fellow attendees for some exercise through historic New Orleans. The run/walk will cover
approximately 5 miles and will be hosted by AMIA member Dr. Danny Sands. For those who would like to do
a shorter run, there will be a turnaround point at the 5K mark. The run will begin promptly at 6:30 a.m.
General Conference
Location: Hotel Lobby
|
Location: Hotel Lobby
|
2023111206:3007:45 098
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
6:30 PM - 9:30 PM CST
|
|
ACMI Celebration/New Fellows Induction (Registration Required)
SOLD OUT
ACMI Fellows are invited to a special evening dedicated to sharing our camaraderie and honoring the incoming 2023 Class of ACMI Fellows and this year’s Distinguished Fellows. For the event, ACMI has secured the River Room which boasts a spectacular view of the Mississippi River.
Networking
Location: River, Port & Starboard
Session Code: ACMI1
|
Location: River, Port & Starboard
Session Code: ACMI1
|
2023111218:3021:30 102
|
SUN, NOV 12
|
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
5:00 PM - 6:30 PM CST
|
|
Poster Session 1
Poster
|
A Comprehensive VCF File Visualization and Analysis Tool; Variant Graph Craft (VGC)
Speaker:
Alper Uzun, PhD, Brown, University, Department of Pathology and Laboratory Medicine, Department of Pediatrics
Author:
Jennifer Li, High School, Brown University
Author:
Andy Yang, High School, Brown University
Author:
Benedito Carneiro, MD, Brown University
Author:
Ece Uzun, MS, PhD, Lifespan/Brown University
Author:
Lauren Massingham, MD, Brown University
|
|
A Dashboard for Shared Decision-Making: Putting Patient-Generated Health Data and Clinical Decision Support Together
Author:
Courtney Zott, MPH, NORC at the University of Chicago
Author:
Edwin Lomotan, MD, AHRQ
Author:
Prashila Dullabh, MD, NORC at the University of Chicago
Author:
Colin Stynes
Author:
Desirae Leaphart
Author:
Aziz Boxwala, MD, PhD, Elimu Informatics
Author:
James Swiger, MBE, Agency for Healthcare Research and Quality
Author:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Speaker:
Edna Shenvi, MD MAS, Elimu Informatics Inc.
|
|
A Data-driven Approach for Improving CMS Hospital Star Ratings
Speaker:
Susie Yin, M.Eng., MBA, Geisinger
Speaker:
Jim Urick, MS, Geisinger Health System
Author:
Eric Reich, MSHI, Geisinger
Author:
Casey Cauthorn, MIE
Author:
David Vawdrey, PhD, Geisinger
Author:
Biplab S Bhattacharya, PhD, Geisinger Health System
|
|
A Machine Learning Approach to Evaluate Pharmacokinetic Data as a Predictor of Escitalopram-Related Side Effects
Speaker:
Ethan Poweleit, BS, Cincinnati Children's Hospital Medical Center
Author:
Samuel Vaughn, MD, PhD, Cincinnati Children's Hospital Medical Center
Author:
Jeffrey Strawn, MD, University of Cincinnati
Author:
Laura Ramsey, PhD, Cincinnati Children's Hospital Medical Center
Author:
Judith Dexheimer, PhD, MBA, Cincinnati Children's Hospital
|
|
A natural language processing approach for detection of medication documentation quality issues
Speaker:
Julie Kim, PharmD, Veterans Affairs
Author:
Glenn Gobbel, DVM, PhD, MS, VA Tennessee Valley Healthcare System
Author:
Colleen Lewellyan, PharmD, MBA, BCPS, Veterans Affairs – MidSouth Healthcare Network
|
|
A Standard Operating Procedure for Concept Set Creation in the National COVID Cohort Collaborative
Speaker:
Eileen Keck, BS, Stony Brook University
Author:
Margaret Hall, MS, Emory University
Author:
Adit Anand, BS, Stony Brook University
Author:
Shreya Sinha, MS, Stony Brook University
Author:
Dipika Rana, MD, FAAP, Stony Brook Medicine
Author:
Tejas Patel, MD, Stony Brook University
Author:
Sigfried Gold, MFA MA, Johns Hopkins University
Author:
Rachel Wong, MD MPH MBA, Stony Brook University, School of Medicine
Author:
Harold Lehmann, MD PhD FACMI, Johns Hopkins University
Author:
Richard Moffitt, PhD, Emory University
|
|
A student-led Clinical Informatics Interest Group at Harvard Medical School: strategies, early successes, and future plans
Speaker:
Eliana Marostica, MBI, Harvard Medical School
Author:
Zhuo Shi, BA, Harvard Medical School
Author:
Kathryn Li, BA, Harvard Medical School
Author:
Katherine Young, MEng, Harvard Medical School
Author:
Sarah Wagner, BA, Harvard Medical School
Author:
Gha Young Lee, BA, Harvard Medical School
Author:
Ellen Kim, MD, Brigham & Women's Hospital
|
|
A Supervised Text Classification System Detects Fontan Patients in Electronic Records with Higher Accuracy than ICD Codes
Speaker:
Yuting Guo, MS, Emory University
Author:
Mohammed Al-Garadi, PhD, VUMC
Author:
Wendy M. Book, MD, Emory University
Author:
Lindsey Carrie Ivey, MPH, Emory University
Author:
Fred H. Rodriguez III, MD, Emory University
Author:
Cheryl Raskind-Hood, MPH, Emory University
Author:
Chad Robichaux, MPH, Emory University
Author:
Abeed Sarker, PhD, Emory University School of Medicine
|
|
Addressing Current Challenges in Care of Heart Failure with An Integrated Digital Solution : The Role for the Combined Use of Nursing Avatars, Digital Twins, and Biometric Devices
Speaker:
Nilmini Wickramasinghe, PhD, MBA, Swinburne University of Technology & Epworth HealthCare
Author:
Ramona Wallace, PhD
Author:
Stefan Gravenstein, MD, MPH, Warren Alpert Medical School of Brown University
Author:
Carlo M Govia, PhD
Author:
Vijay Gehlot, PhD, Villanova University
Author:
Melissa O'Connor, PhD
Author:
ELLIOT SLOANE, PhD
Author:
Duane Wisk, MD
Author:
James Powell, MD
|
|
Analysis of User Engagement with a Digital Decision Aid using Eye-Tracking
Speaker:
Lidan Zhang, Master in Information Technology, WORCESTER POLYTECHNIC INSTITUTE
Author:
Doaa Alrefaei, MS, Worcester Polytechnic Institute
Author:
Soussan Djamasbi, PhD, Worcester Polytechnic Institute
Author:
Gaayathri Sankar, MS, Worcester Polytechnic Institute
Author:
Carlie Flanagan, BS expected, Worcester Polytechnic Institute
Author:
Adam Kalayjian, BS expected, Worcester Polytechnic Institute
Author:
Connie Ge, BS, University of Massachusetts Chan Medical School
Author:
Shazeb Meraj, BS, University of Massachusetts Chan Medical School
Author:
Susanne Muehlschlegel, MD, MPH, University of Massachusetts Chan Medical School
Author:
Bengisu Tulu, PhD, Worcester Polytechnic Institute
|
|
Assessing the Usability of the SHARE-NW Dashboard—A Health Equity Tool for Rural Public Health
Author:
Elizabeth Heitkemper, PhD, RN, The University of Texas at Austin
Author:
Scott Hulse, MD, MS, MPH, MS, Uniformed Services University of the Health Sciences
Author:
Betty Bekemeier, PhD, RN, FAAN, University of Washington
Speaker:
Anne Turner, MD, MLIS, MPH, FACMI, University of Washington
|
|
Association of Primary Care Physicians’ Message Volume with Patients’ Likelihood to Recommend the Physician
Speaker:
Lisa Rotenstein, MD MBA, Brigham and Women's Hospital/ Harvard Medical School
Author:
Edward Melnick, MD, MHS, Yale Schools of Medicine and Public Health
Author:
Huan Li, MHSI, Yale School of Medicine
Author:
Molly Jeffery, PhD, Mayo Clinic
Author:
Jianyi Zhang, PhD, Brigham and Women's Hospital
Author:
Richard Gitomer, MD MBA, Brigham and Women's Hospital
Author:
David Bates, MD, Brigham and Women's Hospital
|
|
Association of Screening MRI Features with Development of Future Breast Cancer
Speaker:
Wesley Surento, M.S, University of Washington
Author:
Anum S. Kazerouni, PhD, University of Washington
Author:
Daniel S. Hippe, M.S
Author:
Debosmita Biswas, M.S, University of Washington
Author:
Michael Hirano, M.S, University of Washington
Author:
John H. Gennari, PhD, University of Washington
Author:
Habib Rahbar, MD, University of Washington
Author:
Savannah C. Partridge, PhD, University of Washington
|
|
Automated mapping of OUD resources using hyperlink network analysis
Author:
David Chen, BMSc, University of Toronto, Temerty Faculty of Medicine
Author:
Kameron Black, DO, MPH, Oregon Health & Science University
Author:
Paul Chong, BS, Campbell University School of Osteopathic Medicine
Author:
Jonathan Gale, BSc, Rocky Vista University College of Osteopathic Medicine
Speaker:
Shuhan He, MD, Massachusetts General Hospital Department of Emergency Medicine
|
|
desiderata
Speaker:
Yenling Ho, MPH, Centers for Disease Control and Prevention
Author:
Sheila Abner, PhD, Centers for Disease Control and Prevention
Author:
Yasemin Kaynas
Author:
Shaun Shakib, PhD, Clinical Architecture
Author:
Caroline Macumber, MS, Clinical Architecture
Author:
Shuai Zheng, PhD, Centers for Disease Control & Prevention
Author:
Austin Kreisler
Author:
Andrea L. Benin, MD
|
|
Challenges in translating CDS across institutions: Use case with NPO times
Speaker:
Sarah Thompson, RN, BSN, MSHMI, Children's Healthcare of Atlanta
Author:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
Author:
Justin Long, MD, Children's Healthcare of Atlanta
Author:
Mariah Burch, MD, Emory University
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
|
|
Co-Designing and Piloting a Text-Based Program to Support Clinician Well-Being at a Canadian Mental Health Hospital
Speaker:
Iman Kassam, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Jessica Kemp, BSc, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Jori Jones, MSW, RSW
Author:
Rabia Khokhar, MScOT
Author:
Patti Socha, MSW, RSW
Author:
Matthew Tsuda, MScOT
Author:
Gillian Strudwick, PhD, Centre for Addiction and Mental Health
|
|
Consistent perceptions of infographics across heterogeneous Latino groups
Speaker:
Samantha Stonbraker, PhD, MPH, RN, University of Colorado Anschutz Medical Campus
Author:
Stefanie Mayorga, BA, University of Colorado College of Nursing
Author:
Yazmina Espiritusanto Castro, BA, Clínica de Familia La Romana
Author:
Pamela Baez Caraballo, MD, MSc, Clínica de Familia La Romana
Author:
Gabriella Sanabria, MEd, University of South Florida College of Public Health
Author:
Maureen George, PhD, RN, AE-C, Columbia University School of Nursing
Author:
Rebecca Schnall, PhD, MPH, RN-BC, Columbia University School of Nursing
Author:
Suzanne Bakken, PhD, RN, FAAN, FACMI, Columbia University
Author:
Adriana Arcia, PhD, RN, FAAN, University of San Diego
|
|
Creation of a Style Guide for Healthcare Software Applications Development
Author:
Fangyu Zhou, MDes, University of Illinois Urbana-Champaign
Speaker:
Jessica Saw, MD, PhD, University of Illinois Urbana-Champaign
Author:
Matthew Berry, MS, University of Illinois Urbana-Champaign
Author:
Stephen Saliba, MBA, Mayo Clinic
Author:
Ramon Gonzalez, BS, Mayo Clinic
Author:
Benjamin Elgin, BS, Mayo Clinic
Author:
Eric Winter, MS, Mayo Clinic
Author:
Douglas VanCuyk, MBA, Mayo Clinic
Author:
Molly Hein, BS, Mayo Clinic
Author:
Deanna (Dee) Feighner, BS, Mayo Clinic
Author:
Victoria Guenther, BS, MB (ASCP), Mayo Clinic
Author:
Sarah Sneen, BA, Mayo Clinic
Author:
Lisa Gatzke, BA, BFA, University of Illinois Urbana-Champaign
|
|
Data and Analytic Architecture of a State-Wide Learning Health Collaborative: The Minnesota Electronic Health Record Consortium Experience
Speaker:
Steve Johnson
Author:
Peter Bodurtha, MPP, Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute
Author:
R Adams Dudley, MD, Institute for Health Informatics (IHI), University of Minnesota
Author:
Deran McKeen, BS, HealthPartners Institute
Author:
Sam Patnoe, MPH, HealthPartners Institute
Author:
Nayanjot Kaur Rai, MPH, University of Minnesota
Author:
Stephen Waring, PhD, Essentia Health/Essentia Institute of Rural Health
Author:
Tyler Winkelman, MD, 2Health, Homelessness, and Criminal Justice Lab, Hennepin Healthcare Research Institute
Author:
Paul Drawz, MD, University of Minnesota
|
|
Data Governance for Sharing and Access to Real-World Data at University of Iowa Healthcare, a Case Study
Speaker:
Heath Davis, MS, FAMIA, University of Iowa, Carver College of Medicine
Author:
Diva Perez, BA, RT, University of Iowa
Author:
Ash Hoberg, BA, University of Iowa
Speaker:
Boyd Knosp, MS, FAMIA, The University of Iowa Carver College of Medicine
|
|
Deep Learning and Natural Language Processing Methods for Characterizing Pediatric Falls Events
Speaker:
Farzana Islam Adiba, MS, University of Florida
Author:
Elise Omaki, MHS, Johns Hopkins University
Speaker:
Kimia Zandbiglari, M.Sc., University of Florida
Author:
Wendy C. Shields, PhD, MPH, Johns Hopkins University
Author:
Andrea Gielen, ScD, ScM, Johns Hopkins University
Author:
Masoud Rouhizadeh, MA, MS, PhD, University of Florida
|
|
Defining, Characterizing, and Predicting Endometriosis Flare-Ups through Machine Learning with Patient-Generated Data
Speaker:
Jessica Blumberg, Student, Columbia University Department of Biomedical Informatics
Author:
Adrienne Pichon, MPH, MPhil, Columbia University, Department of Biomedical Informatics
Author:
Noemie Elhadad, PhD, Columbia University Irving Medical Center
|
|
DeiDoc: Automatic De-identification of Notes Using Long-Document Transformers
Author:
Kenan Alkiek, M.S., The University of Michigan
Speaker:
Dalton Simancek, BA, MS, University of Michigan
Author:
Jiaye Tan, N/A, The University of Michigan
Author:
Noah Weissman, N/A, The University of Michigan
Author:
Jane Ferraro, MPP, The University of Michigan
Author:
V.G.Vinod Vydiswaran, PhD, University of Michigan
|
|
Deploying transformers for redaction of text from electronic health records in real world healthcare
Author:
Zeljko Kraljevic, Msc
Speaker:
Anthony Shek, PhD
Speaker:
Joshua Au Yeung, MRCP MBBS MRes, Guy's and St Thomas' Hospital
Author:
Ewart Sheldon
Author:
Mohammad Al-Agil, Senior Developer Analyst
Author:
Haris Shuaib, Msc
Author:
Bai Xi, Researcher
Author:
Kawsar Noor, Software Developer
Author:
Anoop Shah, Clinical Lecturer and Consultant Clinical Pharmacologist
Author:
Richard Dobson, PhD, King's College London/University College London
Author:
James Teo, MD, PhD
|
|
Deriving a Point Scoring Index for Suicide Attempt Prediction Based on Youth Depression Screenings in a Tertiary Care Children’s Hospital
Speaker:
Victor Ruiz, PhD, Children's Hospital of Philadelphia
Author:
Neal Ryan, MD, University of Pittsburgh
Author:
Nadine Melhem, PhD, University of Pittsburgh
Author:
Jami Young, PhD, The Children's Hospital of Philadelphia
Author:
Molly Davis, PhD, The Children's Hospital of Philadelphia
Author:
David Brent, MD, University of Pittsburgh
Author:
Fuchiang (Rich) Tsui, PhD, Children's Hospital of Philadelphia and University of Pennsylvania
|
|
Developing a Data Lakes Governance Model at a State Public Health Agency
Speaker:
Sripriya Rajamani, MBBS, PhD, MPH, FAMIA, None
Author:
Steve Gorg, MS, PE, Minnesota Department of Health
Author:
Andrew Will-holmberg, BS, Minnesota Department of Health
Author:
Derek Lee, MS, Minnesota Department of Health
Author:
Chris Brueske, BS, Minnesota Department of Health
Author:
Sarah Solarz, MPH, Minnesota Department of Health
Author:
Aasa Dahlberg Schmit, BS, HLN
|
|
Developing a new i2b2 user interface for query and analysis of clinical data
Speaker:
Nicholas Benik, .
Author:
Marc Ciriello, ., Harvard Catalyst
Author:
Diane Keogh, ., Harvard Medical School
Author:
Jeffrey Klann, PhD, Harvard Medical School
Author:
Anupama Maram, ., Harvard Medical School
Author:
Mike Mendis, ., Mass General Brigham
Author:
Shawn Murphy, MD, Ph.D., Massachusetts General Hospital
Author:
Marc-Danie Nazaire, ., Harvard Medical School
Author:
Griffin Weber, MD, PhD, Harvard Medical School
|
|
Developing Modular and Reusable FHIR® Trainings for IDeA State Institutions
Speaker:
Steve Tsang, Ph.D., National Institutes of Health
Author:
Max Masnick, Ph.D., The MITRE Corporation
Author:
Nicole Persing, Ph.D., The MITRE Corporation
Author:
Snipta Mallick, B.S., National Institutes of Health
Author:
Belinda Seto, Ph.D., National Institutes of Health
|
|
Developing Motivational Messages for Precision Feedback in Anesthesia Care
Speaker:
Yidan Cao, MS, MPP, University of Michigan Medical School
Author:
Anjana Deep Renji, MBA, University of Michigan
Author:
Astrid Fishstrom, LMSW, University of Michigan Medical School
Author:
Hana Chung, BS, University of Michigan School of Information
Author:
Allen Flynn, PhD, PharmD, University of Michigan
Author:
Allison Janda, MD, University of Michigan
Author:
Nirav Shah, MD, University of Michigan Medical School
Author:
Zach Landis-Lewis, PhD, MLIS, University of Michigan
|
|
Development and validation of a natural language processing algorithm for extracting preoperative cannabis use status information from unstructured narrative clinical notes
Speaker:
Ruba Sajdeya, MD, University of Florida
Author:
Chen Bai, MSc, University of Florida
Author:
Sebastian Jugl, BPharm, University of Florida
Author:
Ronald Ison, MS, PMP
Author:
Mamoun Mardini, PhD, University of Florida
Author:
Patrick Tighe, MD, MS, University of Florida
Author:
Kimia Zandbiglari, M.Sc., University of Florida
Author:
Hanzhi Gao, PhD, MS, University of Florida
Author:
Almut Winterstein, RPh, PhD, FISPE, University of Florida
Author:
Thomas Pearson, MD, MPH, PhD, University of Florida
Author:
Robert Cook, MD, MPH, University of Florida
Author:
Masoud Rouhizadeh, MA, MS, PhD, University of Florida
|
|
Development and Validation of Machine Learning and Deep Learning Models for Mpox in a Learning Health System
Speaker:
Harry Reyes Nieva, MAS, MA, Columbia University
Author:
Emma Tucker, BS, Columbia University
Author:
Jacob McLean, DO, Columbia University Irving Medical Center
Author:
Claire DeLaurentis, MD, Columbia University Irving Medical Center
Author:
Shauna Gunaratne, MD, Columbia University Irving Medical Center
Author:
Noemie Elhadad, PhD, Columbia University Irving Medical Center
Author:
Jason Zucker, MD, MS, Columbia University Irving Medical Center
|
|
Development of an Electronic Clinical Quality Measure (eCQM) to Report Timely Follow-up on Abnormal Stool-based Tests for Colorectal Cancer Screening: Specifications and Preliminary Rates
Speaker:
Ania Syrowatka, PhD, Brigham and Women's Hospital/Harvard Medical School
Author:
Marlika Marceau, BA, Mass General Brigham
Author:
Michael Sainlaire, MS, Brigham and Women's Health
Author:
Angela Rui, MA, Brigham and Women's Hospital
Author:
Tien Thai, BS, Brigham and Women's Health
Author:
Catherine Yoon, MS, Brigham and Women's Hospital
Author:
Lipika Samal, M.D., M.P.H., Brigham and Women's Hospital
Author:
Li Zhou, MD, Ph.D., Brigham and Women’s Hospital
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
Author:
David Bates, MD, Brigham and Women's Hospital
Author:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
|
|
Diet Factorization Net: efficient model parameterization for high dimensional genomics data to predict brain imaging trait of Alzheimer's disease
Speaker:
Shu Yang, PhD, University of Pennsylvania
Author:
Jiahang Sha
Author:
Jeffrey Qu
Author:
Xinkai Wang, BS
Author:
Yanbo Feng, BS
Author:
Dokyoon Kim, PhD, University of Pennsylvania
Author:
Christos Davatzikos, PhD, University of Pennsylvania
Author:
Li Shen, PhD, University of Pennsylvania
|
|
Disparities in Test Result Viewership in the Age of Open Results
Speaker:
Kevin Guo, ScB, Vanderbilt University School of Medicine
Author:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
S. Trent Rosenbloom, MD, MPH, Vanderbilt University Medical Center Dept of Biomedical Informatics
Author:
Bryan Steitz, PhD, Vanderbilt University Medical Center
|
|
EHR-Based Dashboard for Optimization of Surgical Resident Workflows
Speaker:
Parker Evans, MD, Vanderbilt University Medical Center
Author:
Chetan Aher, MD FACS, Vanderbilt University Medical Center
Author:
Scott Nelson, PharmD, MS, CPHIMS, FAMIA, ACHIP, Vanderbilt University Medical Center
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
|
|
Empirically derived taxonomy of distributed clinical decision support malfunctions
Speaker:
Jeritt Thayer, M.S., The Children's Hospital of Philadelphia
Author:
Amy Franklin, PhD, The University of Texas Health Science Center - Houston
Author:
Robert Grundmeier, M.D., None
Author:
Deevakar Rogith, MBBS, PhD, University of Texas Health Science Center at Houston
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
|
|
Enabling Rapid Application and Management of Knowledge in Learning Health Systems: The Computable Biomedical Knowledge Metadata Model (CBK-MM) Project
Speaker:
Joshua Richardson, PhD, MS, MLIS, RTI International
Author:
Davide Sottara, Mayo Clinic
Author:
Christina Eldredge, MD, PhD, University of South Florida
Author:
Rachel Richesson, PhD, MS, MPH, University of Michigan Medical School
Author:
Jamie McCusker, PhD, Rensselaer Polytechnic Institute
|
|
Enabling Technologies for Rapid Learning Health Systems with the Molecular Oncology Almanac (MOAlmanac)
Speaker:
Theodore Feldman, PhD, VA Boston Healthcare System
Author:
Brendan Reardon, B.S., Dana Farber Cancer Institute
Author:
Paul Marcantonio, B.S., VA Boston Healthcare System
Author:
Danne Elbers, Ph.D., VA Boston CSP / MAVERIC
Author:
Nathanael Fillmore, PhD, VA Boston Healthcare System
Author:
Eliezer Van Allen, M.D., Dana-Farber Cancer Institute
Author:
Michael Kelley, M.D., Durham VA Medical Center
Author:
Mary Brophy, M.D., M.P.H., VA Boston Healthcare System
Author:
Nhan Do, M.D., M.S., VA Boston Healthcare System
|
|
Evaluation of Mass General Brigham’s Digital Analytic Patient Reviewer (DAPR)
Author:
Heekyong Park, PhD, Mass General Brigham
Speaker:
Taowei Wang, PhD, Mass General Brigham
Author:
Nich Wattanasin, MS, Mass General Brigham
Author:
Victor Castro, MS, Mass General Brigham
Author:
Vivian Gainer, MS, Massachusetts General Hospital
Author:
Shawn Murphy, MD, Ph.D., Massachusetts General Hospital
|
|
Evaluation of the Quality of Online Health Information for Ovarian Cancer
Speaker:
Youjia Wang, BSN, RN, University of Pittsburgh School of Nursing
Author:
Jeong Eun Kim, BSN, RN, University of Pittsburgh School of Nursing
Author:
Mary Lou Klem, PhD, MLIS
Author:
Zhimeng Luo, MS, University of Pittsburgh
Author:
Young Ji Lee, PhD, MS, RN
Author:
Heidi Donovan, PhD, RN
|
|
Evaluation of Wrong Patient Errors: A Pilot Study Across Three UK Hospital Trusts
Speaker:
Sarah Wilson, Msc, Bsc, Newcastle university
Author:
Clare Tolley, PhD, MRPharmS, FFCI, Newcastle University
Author:
Yogini Jani, PhD, University College London
Author:
Gladys Habu, ., University College London
Author:
Andrew Heed, BPharm, Newcastle upon Tyne Hospitals NHS Foundation Trust
Author:
Jason Adelman, MD MS, Columbia University Irving Medical Center/NewYork-Presbyterian
Author:
Sarah Slight, PhD, Newcastle University
Author:
Andy Fox
|
|
Extending the Use of Time Series Clustering to Detect Emergency Department Shifts from Electronic Health Record Audit Logs to Physicians
Speaker:
Amanda Moy, MPhil, MPH, MA, Columbia University Department of Biomedical Informatics
Author:
Eugene Kim, MD, Boston Children's Hospital
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Nicholas Tatonetti, PhD, Cedars-Sinai Medical Center
Author:
Jennifer Withall, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
|
|
Extracting smoking status from Lung Cancer patients using Natural Language Processing (NLP) in real world electronic health records (EHR)
Speaker:
Joshua Au Yeung, MRCP MBBS MRes, Guy's and St Thomas' Hospital
Author:
Charalampos Gousis, MRCP, Guys and St Thomas NHS hospital Trust
Author:
Anthony Shek, PhD
Author:
Harriet McGrath, MRCP, Guy’s and St Thomas’ NHS Foundation Trust
Author:
Georgios Douganiotis
Author:
Eleni Josephides
Author:
Alexandros Georgiou, Consultant in Medical Oncology
Author:
James Teo, MD, PhD
|
|
Factors Associated with Patient-Reported Outcome Completion in a Randomized Controlled Trial of a Telehealth Intervention among Older Adults with Heart Failure
Speaker:
Leah Shafran Topaz, BPT, MSc, Weill Cornell Medicine
Author:
Jacky Choi, MPH
Author:
Brock Daniels, MD, MPH1, Weill Cornell Medicine / NewYork Presbyterian Hospital
Author:
Meghan Reading Turchioe
Author:
Ruth Masterson Creber, PhD, MSc, RN, Weill Cornell Medicine
|
|
Health Equity In Remote Monitoring for COVID-19 in Oncology
Author:
Allison Lipitz Snyderman, PhD, Memorial Sloan Kettering
Author:
Olga Strachna, PhD, Memorial Sloan Kettering
Author:
Zoe Spiegelhoff, MS, Memorial Sloan Kettering Cancer Center
Author:
SUSAN CHIMONAS, PhD, Memorial Sloan Kettering Cancer Center
Author:
Jericho Garcia, RN, Memorial Sloan Kettering
Author:
Robert Daly, MD, Memorial Sloan Kettering
Author:
Mark Robson, MD, Memorial Sloan Kettering
Author:
Gilad Kuperman, MD PhD, Memorial Sloan Kettering Cancer Center
Speaker:
Fernanda Polubriaginof, MD PhD, Memorial Sloan Kettering Cancer Center
|
|
Identifying EHR Tasks and Inactivity Using Computer Vision
Speaker:
Liem Nguyen, BS Candidate, Stanford University School of Medicine
Author:
Amrita Sinha, MD, Stanford University
Author:
Adam Dziorny, MD, PhD, University of Rochester, School of Medicine and Dentistry
Author:
Daniel Tawfik, MD, MS, Stanford University School of Medicine
|
|
Identifying Medications for Inflammatory Bowel Disease from Unstructured Data using Knowledge Graphs and UMLS Vocabularies
Speaker:
Joao Bettencourt-Silva, PhD, IBM Research
Author:
Natasha Mulligan, MSc
Author:
Alberto Purpura, PhD, IBM Research Europe
Author:
Tesfaye Yadete
Author:
Kingsley Njoku
Author:
Uri Kartoun, PhD FAMIA, IBM Research
Author:
Vibha Anand, PhD, IBM Research
Author:
Eileen Koski, MPhil, FAMIA, IBM Research
Author:
Julia Liu
Author:
Thaddeus Stappenbeck
|
|
Implementable Prediction for Hospital-Acquired Pressure Injuries
Speaker:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Henry Domenico, MS, Vanderbilt University Medical Center
Author:
Antonio Hernandez, MD, MSCI, Vanderbilt University Medical Center
Author:
Daniel Byrne, MS, Vanderbilt University Medical Center
Author:
Elise Russo, MPH, Vanderbilt University Medical Center
Author:
Brian Douthit, PhD, RN-BC, Department of Biomedical Informatics, Vanderbilt University
Author:
Jessica Williams, RN, Vanderbilt University Medical Center
Author:
Sonya Moore, RN, Vanderbilt University Medical Center
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
|
|
Implementation of a CDS Tool for Facilitating Medication-Assisted Treatment of Opioid Use Disorder
Speaker:
Casey Distaso, MD, Vanderbilt University Medical Center
Author:
Dara Mize, MD, Vanderbilt University Medical Center
Author:
Joseph LeGrand, PharmD, Vanderbilt University Medical Center
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Sylinda Littlejohn, MS, Vanderbilt University Medical Center
Author:
Nathaniel Miller, MD, Vanderbilt University Medical Center
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
|
|
Implementing Data-Driven User-Interface for Surgical Site Infection Surveillance
Speaker:
Ugur Celik, MS, UMass Chan Medical School
Author:
Feifan Liu, PhD, University of Massachusetts Chan Medical School
Author:
Richard Ellison, MD, UMass Memorial Medical Center
Author:
Kimiyoshi Kobayashi, MD MBA, UMass Memorial Medical Center
Author:
Qiming Shi, MS
Author:
Yurima Guilarte-Walker, MS
Author:
Robert Steppacher, MD, UMass Memorial Medical Center
Author:
Adrian Zai, MD PhD MPH, University of Massachusetts Chan Medical School
|
|
Improving early diagnosis of primary immunodeficiencies by learning causal clinical history.
Author:
Georgios Papanastasiou, MEng, MSc, MSc.R, PhD, Pfizer
Speaker:
Vladimir Ivanov, PhD, Pfizer Inc
Author:
Shelley Moore
Author:
Luba Sobolevsky, Pharm D
Author:
Sabrina Hsueh, Dr
Author:
Ji Xiang
Author:
Danai Aristeridou, MS
Author:
Maria Kritharidou, MS, Pfizer Inc.
Author:
Anastasios Ventouris, MS, Pfizer Inc.
Author:
Guang Yang, PhD
|
|
Improving Sickle Cell Disease Personalized Pain Plan Documentation and Usability via User-Centered Design
Speaker:
Tonya Bennett, LPN, BSHI
Author:
Jason Payne, MD, MSPH
Author:
Wayne Liang, MD MS FAMIA, Children's Healthcare of Atlanta & Emory University
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
Author:
Edwin Ray, RN, Childrens Healthcare of Atlanta
Author:
Beatrice E. Gee, MD
Author:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
|
|
Improving the Readability of Informed Consent Forms using ChatGPT
Author:
Taylor Cronauer, PhD Student, University of Pittsburgh
Author:
Young-Ji Lee, PhD, University of Pittsburgh
Author:
Leming Zhou, PhD, University of Pittsburgh School of Health and Rehabilitation Sciences
Author:
Yong Choi, PhD, University of Pittsburgh
Author:
Juleen Rodakowski, OTD, MS, University of Pittsburgh
Speaker:
Yanshan Wang, PhD, University of Pittsburgh
|
|
Informatics for Integrating Biology and the Bedside (i2b2) in 2023: Upcoming Release
Speaker:
Michael Mendis, BA, Mass General Brigham
Author:
Jeffrey Klann, PhD, Harvard Medical School
Author:
Griffin Weber, MD, PhD, Harvard Medical School
Author:
Diane Keogh, ., Harvard Medical School
Author:
Shawn Murphy, MD, Ph.D., Massachusetts General Hospital
|
|
Interruptive vs Non-Interruptive Alerts to Increase Statin Prescribing in Primary Care
Speaker:
Aileen Wright, MD, MS, Vanderbilt
Author:
Jennifer Green, MD, MPH, Vanderbilt University Medical Center
Author:
Erin Neal, PharmD, Vanderbilt University Medical Center
Author:
Jill Jones, MD, Vanderbilt University Medical Center
|
|
Iterative Design and Development of the Interactive Prostate Cancer Information, Communication, and Support Program (iPICS) for Patients with Localized Prostate Cancer
Author:
Fei Yu, PhD, UNC at Chapel Hill
Author:
Shamim Ashrafi, MS, InNeed Intelligent Cloud
Author:
Tamjid Ahsan, MC, InNeed Intelligent Cloud
Author:
Shadman Chowdhury, BS, InNeed Intelligent Cloud
Author:
Javed Mostafa, Ph.D., University of North Carolina Chapel Hill
Speaker:
Lixin Song, PhD, University of Texas Health Science Center at San Antonio
|
|
Leveraging EHR-Integrated Tools to Improve Diagnostic Safety in Hospitalized Patients: Early Experience & Preliminary Results
Speaker:
Anuj Dalal, MD, Brigham & Women's Hospital
Author:
Savanna Plombon, BS
Author:
Kaitlyn Konieczny, BS, Brigham and Women's Hospital
Author:
Daniel Motta-Calderon, MD, MPH, Brigham and Women's Hospital
Author:
Alyssa Lam, BA, Brigham and Women's Hospital/ Harvard Medical School
Author:
Alison Garber
Author:
Maria Malik, BA, Brigham and Women's Hospital
Author:
Marie Leeson, Bachelor of Science in Industrial Engineering, Brigham and Women's Hospital
Author:
Pamela Garabedian, M.S., Mass General Brigham Inc.
Author:
Ronen Rozenblum, PhD, MPH, Brigham and Women's Hospital/Harvard Medical School
Author:
Jacqueline Griffin
Author:
Jeffrey Schnipper, MD, MPH, Brigham and Women's Hospital
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
Author:
David Bates, MD, Brigham and Women's Hospital
|
|
Leveraging Electronic Medical Records and Knowledge Graphs to Predict Onset and Gain Biological Insight into Alzheimer’s Disease Sex Dimorphism
Speaker:
Alice Tang, BS, UCSF
Author:
Katherine P. Rankin, PhD
Author:
Gabriel Cerono, MD
Author:
Silvia Miramontes, MS
Author:
Hunter Mills, MS, University of California San Francisco
Author:
Jacquelyn Roger, BS
Author:
Billy Zeng, MD
Author:
Charlotte Nelson, PhD
Author:
Karthik Soman
Author:
Sarah Woldemariam, PhD, UCSF
Author:
Yaqiao Li, BA, UCSF
Author:
Albert Lee
Author:
Riley Bove
Author:
Maria Glymour, ScD, University of California San Francisco
Author:
Tomiko Oskotsky, MD, UCSF
Author:
Zachary Miller
Author:
Isabel Allen
Author:
Stephan Sanders
Author:
Sergio Baranzini
Author:
Marina Sirota, PhD, University of California, San Francisco
|
|
Machine Learning to Detect Opioid Misuse from Primary Care Notes
Speaker:
Allison Bradley, PhD, University of Pittsburgh
Author:
Paula Escott
Author:
Rayid Ghani
Author:
Jessica Merlin
Author:
Shyam Visweswaran, Doctor of Medicine,Doctor of Philosophy, University of Pittsburgh
Author:
Jonathan Silverstein, MD, MS, FACS, FACMI, University of Pittsburgh, Department of Biomedical Informatics
Author:
Jonathan Arnold, MD MS MSE, University of Pittsburgh
|
|
Methodological Quality Checks for OMOP Drug Concept Set Creation
Speaker:
Saaya Patel, N/A, Stony Brook University
Author:
Kimon Stathakos
Author:
Rachel Wong, MD MPH MBA, Stony Brook University, School of Medicine
Author:
Waqas Mahmud, MD, Stony Brook University Medical Center - - Stony Brook, NY
Author:
Rishikesan Kamaleswaran, PhD, Emory University School of Medicine
Author:
Jake Neumann
Author:
Richard Moffitt, PhD, Emory University
Author:
Scott Chapman
|
|
Navigating Privacy and Security in Telemedicine for Primary Care
Speaker:
Katerina Andreadis, MS, Weill Cornell Medicine; New York University Grossman School of Medicine
Author:
Kimberly A. Muellers, MPH, MS, Icahn School of Medicine at Mount Sinai; Pace University
Author:
Jenny J. Lin, MD, MPH, Icahn School of Medicine at Mount Sinai
Author:
Rahma Mkuu, PhD, The University of Florida
Author:
Carol Horowitz, MD, MPH, Icahn School of Medicine at Mount Sinai
Author:
Rainu Kaushal, M.D., Weill Cornell Medicine / Healthcare Policy & Research
Author:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
|
|
Nurses’ Adoption and Use of Digital Technologies during the COVID-19 Pandemic: A National Survey
Speaker:
Hwayoung Cho, PhD, RN, University of Florida College of Nursing
Author:
Tamara Macieira, PhD, RN, University of Florida
Author:
Ragnhildur Bjarnadottir, PhD, MPH, RN, University of Florida
Author:
Jiyoun Song, PhD, AGACNP-BC, RN, University of Pennsylvania School of Nursing
Author:
Oliver T. Nguyen, University of Florida College of Nursing
Author:
Max Topaz, PhD, RN, MA, FAAN, Columbia University School of Nursing
Author:
Dawn Dowding, PhD, RN, FAAN, The University of Manchester
|
|
OMOP-CDM in Asia-Pacific regions and Lessons for Data Quality Assessment
Author:
Sujin Gan, NA, Department of Biomedical Informatics, Ajou University Graduate School of Medicine
Speaker:
Chungsoo Kim, N/A, Ajou University
Author:
Seongwon Lee, NA, Department of Biomedical Informatics, Ajou University Graduate School of Medicine
Author:
Jing Li, NA, IQVIA
Author:
Jiawei Qian, NA, IQVIA
Author:
Gyeol Song, NA, IQVIA
Author:
Clair Blacketer, MPH, Johnson & Johnson
Author:
Anthony Molinaro, NA, Janssen Research and Development
Author:
Dinuja Liyanage, NA, University of South Australia
Author:
Zhang jingyi, NA, Wonders Information Co.Ltd
Author:
Li Chao, NA, Wonders Information Co.Ltd
Author:
Roger Ward, NA, The University of Melbourne
Author:
Mengling Feng, PhD, National University of Singapore
Author:
Mui Van Zandt, MS, IQVIA
Author:
Rae Woong Park, NA, Department of Biomedical Informatics, Ajou University School of Medicine
|
|
PHAROS, Platform of Harmonizing and Accessing Data in Real-time Infectious Disease Surveillance Based on OMOP-CDM
Author:
Chungsoo Kim, N/A, Ajou University
Speaker:
Byungjin Choi, Doctor, Ajou university
Author:
Junhyuk Chang, NA, Ajou University
Author:
Rae Woong Park, NA, Department of Biomedical Informatics, Ajou University School of Medicine
Author:
Soobeen Seol, NA, Ajou University
Author:
Seongwon Lee, NA, Department of Biomedical Informatics, Ajou University Graduate School of Medicine
|
|
Physicians as Builders: Development of a Novel Digital Application for Inpatient Pain Management
Speaker:
Stephen Ma, MD, PhD, Stanford University School of Medicine
Author:
Richard Kim, MD, Stanford University School of Medicine
Author:
Joseph Forrester, MD, Stanford University School of Medicine
Author:
Srinivasan Boosi, BE
Author:
Janice Jiang, MD
Author:
Naveed Rabbani, MD, Stanford Medicine
Author:
Jennifer Tran, PharmD
Author:
Susan Weber, PhD, Stanford Medicine
Author:
Oluseyi Fayanju, MD, Stanford Medicine
Author:
Christopher Sharp, MD, Stanford University School of Medicine
Author:
Ron Li, MD, Stanford School of Medicine
|
|
Presentation of a Geriatric Oncology Dashboard displaying the VA - Frailty Index and Recommendations for use in the Oncology Applications (OncApps) Platform at the Department of Veterans Affairs.
Speaker:
Danne Elbers, Ph.D., VA Boston CSP / MAVERIC
Author:
Clark DuMontier, MD, VA Boston
Author:
Amelia Tarren, MS, VA Boston CSP
Author:
Robert Zwolinski, BS, VA Boston CSP
Author:
Mayuri Dharne, BS, VA Boston
Author:
Linden Huhmann, PhD, VA Boston CSP
Author:
Sergey Goryachev, MS, VA Boston CSP
Author:
Jane Driver, MD, VA Boston
Author:
Nathanael Fillmore, PhD, VA Boston Healthcare System
Author:
Nhan Do, M.D., M.S., VA Boston Healthcare System
|
|
Road Map to Building and Implementing a Clinical Decision Support Tool to Meet HIV Prevention National Guidelines
Speaker:
Kruti Gala, MPH, NYC Health + Hospitals
Author:
Gabriel Cohen, MD, NYC Health + Hospitals
Author:
Emma Kaplan-Lewis, MD, New York City Health + Hospitals
Author:
Eunice Casey, MPH, MIA, New York City Health + Hospitals
Author:
Zeyu Li, MPH, New York City Health + Hospitals
|
|
Sentiment analysis of healthcare interventions
Speaker:
Joshua Calvano, DO, University of New Mexico
Author:
Karl Swanson, DO, University of California - San Francisco, Clinical Informatics
Author:
Jacob Schwell, MS, Sidney Kimmel Medical College
Author:
Paul Kim, BS, Temple University School of Medicine
Author:
Paul Chong, BS, Campbell University School of Osteopathic Medicine
|
|
Suicide Tendency Prediction from Psychiatric Notes Using Transformer Models
Speaker:
Zehan (Leo) Li, M.S, The Univeristy of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics
Author:
Iqra Ameer, PhD, University of Texas Health Science Center at Houston
Author:
Yan Hu, MS, UTHealth Science Center Houston
Author:
Ahmed Abdelhameed, Ph.D., UTHealth Houston Biomedical Informatics
Author:
Salih Selek, M.D., UTHealth McGovern Medical School
Author:
Cui Tao, Ph.D., UTHealth Health Science Center at Houston
Author:
Hua Xu, PhD, Yale University
|
|
Trust in Artificial Intelligence (AI) for Mental Healthcare: A Subgroup Analysis by Pregnancy History
Speaker:
Sarah Harkins, BSN, RN, Columbia University School of Nursing
Author:
Pooja Desai, BA, MA, Columbia University Irving Medical Center
Author:
Shiveen Kumar
Author:
Yiye Zhang, PhD, Weill Cornell Medical College
Author:
Jyotishman Pathak, PhD, Weill Cornell Medical College, Cornell University
Author:
Natalie Benda, PhD, Columbia University School of Nursing
Author:
Meghan Reading Turchioe
|
|
Walk a Mile in Their Shoes: Using Personas to obtain Health Professional Perspectives for an Ovarian Cancer Patient-Focused Recommender System
Speaker:
Khushboo Thaker, BE, MTech, University of Pittsburgh
Author:
Behnam Rahdari, BS, MS
Author:
Peter Brusilovsky, PhD, University of Pittsburgh
Author:
Chi Ching Vivian Hui, RN,BSN, PhD, University of Pittsburgh
Author:
Zhimeng Luo, MS, University of Pittsburgh
Author:
Youjia Wang, BSN, RN, University of Pittsburgh School of Nursing
Author:
Daqing He, PhD, University of Pittsburgh
Author:
Heidi Donovan, PhD, RN
Author:
Young Ji Lee, PhD, MS, RN
|
|
Systematically identifying opportunities to avoid unnecessary mortality in heart failure patients
Speaker:
John Menchaca, MD, Emory University School of Medicine
Author:
Martin Campbell, MD, Emory University School of Medicine
Author:
Franck Tonleu, M.D., University of Texas Southwestern Medical Center
Author:
Anita Osabutey, MD, MPH, Emory University School of Medicine
Author:
Alexis Okoh, MD, Emory University School of Medicine
Author:
Modele Ogunniyi, MD, MPH, Emory University School of Medicine
|
Location: Grand Salon
Session Code: P01
|
Location: Grand Salon
Session Code: P01
|
2023111317:0018:30 000
|
MON, NOV 13
|
F7DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
5:00 PM - 6:30 PM CST
|
|
Poster Session 2
Poster
|
A Care Transitions Application to Improve Health Outcomes for Hospitalized Patients with Multiple Chronic Conditions: Defining End-User Needs
Speaker:
Christian Tejeda, B.S., Brigham and Women's Hospital
Author:
Christian Tejeda, B.S., Brigham and Women's Hospital
Author:
Hongyi Wu, B.S.
Author:
Allison McCoy, PhD, ACHIP, Vanderbilt University Medical Center
Author:
Lipika Samal, M.D., M.P.H., Brigham and Women's Hospital
Author:
Patricia Dykes, PhD, MA, RN, FAAN, FACMI, Brigham and Women's Hospital
|
|
A Fusion Framework of Domain-specific and Source-specific Language Models for Patient Portal Message Triage
Speaker:
YANG REN, M.S., Mayo Clinic
Author:
Dezhi Wu, Ph.D, University of South Carolina
Author:
Aditya Khurana, MD, Mayo Clinic
Author:
Sunyang Fu, PhD
Author:
J. Fan, Ph.D., Mayo Clinic
Author:
Hongfang Liu, PhD, Mayo Clinic
Author:
Ming Huang, Ph.D, Mayo Clinic
|
|
A Living Interactive Evidence Synthesis Framework and Applications for Creating and Maintaining Living Systematic Reviews and Meta-Analysis
Author:
Huan He, PhD, Mayo Clinic
Speaker:
Irbaz Bin Riaz, MD, PhD
Author:
Syed Arsalan Ahmed Naqvi, MBBS
Author:
Rabbia Siddiqi, MD
Author:
Noureen Asghar, MD
Author:
Mahnoor Islam, MBBS
Author:
M. Hassan Murad, MD
Author:
Hongfang Liu, PhD, Mayo Clinic
|
|
A pre-deployment framework for predictive models in clinical practice
Speaker:
Malvika Pillai, PhD, Stanford University
Author:
Maximilian Schuessler, MSc, MPP, Stanford University
Author:
Dylan Peterson, MD
Author:
Doug Blayney, MD, Stanford University
Author:
Tina Hernandez-Boussard, PhD, Stanford University
|
|
A Review of Maternal Health Dashboards in the United States
Speaker:
Paige Newman, MPH, University of Arkansas for Medical Sciences
Author:
Jennifer Callaghan-Koru, Ph.D., University of Arkansas for Medical Sciences
Author:
Clare Brown, Ph.D., University of Arkansas for Medical Sciences
Author:
Tanvangi Tiwari, MPP, University of Arkansas for Medical Sciences
Speaker:
Gunes Koru, Ph.D., University of Arkansas for Medical Sciences, Northwest Regional Campus
|
|
A Theory-Informed Approach to Studying Social Media about Substance Use
Speaker:
Rahul Chaliparambil, BS, Northwestern University Feinberg School of Medicine
Author:
Shana Johnny, DNP, MN, RN, University of Washington
Author:
Sharon Wong, BS, University of Washington
Author:
Joseph Glass, PhD, MSW, Kaiser Permanente Washington Health Research Institute
Author:
Lexie Wang, BS, University of Washington
Author:
Mike Conway, MSc, PhD, University of Melbourne's School of Computing & Information Systems
Author:
Annie Chen, PhD, University of Washington School of Medicine
|
|
Alzheimer's Disease Prediction through Patients Speech Transcript Using Pre-trained Language Models
Author:
Xiaoke Huang, MS, South China University of Technology
Author:
Liao Wenxiong, N/A, South China University of Technology
Author:
Zhengliang Liu, PHD, University of Georgia
Author:
Haixing Dai, PHD, University of Georgia
Author:
Zihao Wu, PHD, University of Georgia
Author:
Dajiang Zhu, PHD, University of Texas at Arlington
Author:
Tianming Liu, PHD, University of Georgia
Author:
Quanzheng Li, PHD, Massachusetts General Hospital
Author:
Hongmin Cai, PHD, South China University of Technology
Speaker:
Xiang Li, PhD, Ping An Technology
|
|
Are Mobile Applications in Speech Pathology Designed for All Patients?
Speaker:
Katerina Andreadis, MS, Weill Cornell Medicine; New York University Grossman School of Medicine
Author:
Eseosa Odigie, BS, Weill Cornell Medicine
Author:
Iyra Chandra, BA, Weill Cornell Medicine
Author:
Valentina Mocchetti, MS, CCC-SLP, Weill Cornell Medicine
Author:
Hal Rives, BS, Weill Cornell Medicine
Author:
Steven Cox, Ph.D, CCC-SLP, Adelphi University
Author:
Anais Rameau, MD, Phil, Weill Cornell Medicine
|
|
Assessment of Clinician Knowledge, Confidence in Decision-Making, and Likelihood of Seeking Additional Support When Using an Electronic Point-of-Care Tool
Speaker:
Ania Syrowatka, PhD, Brigham and Women's Hospital/Harvard Medical School
Author:
Pamela Garabedian, M.S., Mass General Brigham Inc.
Author:
Angela Rui, MA, Brigham and Women's Hospital
Author:
Zoe Co, BS, Brigham and Women's Hopital
Author:
Diane Seger, RPh, Partners Healthcare Systems
Author:
Mary Amato, PharmD, Brigham and Women's Hospital
Author:
Marlika Marceau, BA, Mass General Brigham
Author:
Aqsa Mugal, MA, Brigham and Women's Hospital
Author:
Rachel Wasserman, PharmD, Brigham and Women's Hospital
Author:
Lynn Volk, MHS, Mass General Brigham
Author:
Karen Nanji, MD, MPH, Massachusetts General Hospital
Author:
Ronen Rozenblum, PhD, MPH, Brigham and Women's Hospital/Harvard Medical School
Author:
David Bates, MD, Brigham and Women's Hospital
|
|
Automated Algorithm to Assess Guideline Concordance of Antibiotic Selection
Speaker:
Julia Yarahuan, MD, Boston Children's Hospital
Author:
Adam Yan, MD, Boston Children's Hospital
Author:
Eugene Kim, MD, Boston Children's Hospital
Author:
Susannah Kisvarday, MD, Harvard-Boston Children's Hospital
Author:
Mari M. Nakamura, MD, MPH, Boston Children's Hospital
Author:
Sarah B. Jones, PharmD, Boston Children's Hospital
Author:
Jonathan Hron, MD, Boston Children's Hospital
|
|
Auto-spatial Relationship of Health Inequalities and Multi-drug Resistant Organisms
Author:
John Hanna, MD, University of Texas Southwestern
Author:
Alaina Beauchamp
Author:
Marlon I Diaz
Author:
Tony Keller
Author:
Tanvi Ingle
Author:
Chaitanya Katterapalli
Author:
Trish M Perl
Author:
Christoph Lehmann, MD, UT Southwestern Medical Center
Author:
Zachary Most, MD
Author:
Clark Walker
Speaker:
Lauren Cooper, MS, University of Texas Southwestern Medical Center
Author:
Alexander Radunsky, PhD, MPH
Author:
Richard Medford, MD
|
|
Can we use the EHR to Predict Post-Discharge Adverse Events?
Speaker:
Savanna Plombon, BS
Author:
Jorge Rodriguez, MD, Brigham and Women's Hospital/Harvard Medical School
Author:
Robert Rudin, PhD, RAND Corporation
Author:
Stuart Lipsitz, ScD, Brigham and Women's Hospital
Author:
Pamela Garabedian, M.S., Mass General Brigham Inc.
Author:
Maria Edelen, Ph.D
Author:
Kaitlyn Konieczny, BS, Brigham and Women's Hospital
Author:
Marie Leeson, Bachelor of Science in Industrial Engineering, Brigham and Women's Hospital
Author:
Anuj Dalal, MD, Brigham & Women's Hospital
|
|
Challenges and Opportunities Identified from Workflow Execution Models for Advancing Patient-centered Clinical Decision Support
Speaker:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Author:
Aziz Boxwala, MD, PhD, Elimu Informatics
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Author:
Courtney Zott, MPH, NORC at the University of Chicago
Author:
James Swiger, MBE, Agency for Healthcare Research and Quality
Author:
Edwin Lomotan, MD, AHRQ
Author:
Prashila Dullabh, MD, NORC at the University of Chicago
|
|
Clustering App Usage and Health Care Engagement among Veterans
Speaker:
Ashley Griffin, PhD, Veterans Affairs Palo Alto Health Care System & Stanford University
Author:
Cindie Slightam, MPH, Va Palo Alto Health Care System & Stanford University School of Medicine
Author:
Alison Liberty Greene, MS, Va Palo Alto Health Care System & Stanford University School of Medicine
Author:
Charlie Wray, DO, UCSF Department of Medicine & San Francisco VA
Author:
Joe Wielgosz, PhD, VA Palo Alto Health Care System & Stanford University School of Medicine
Author:
Eric Kuhn, PhD, VA Palo Alto Health Care System & Stanford University School of Medicine
Author:
Daniel Blonigen, PhD, Va Palo Alto Health Care System & Stanford University School of Medicine
Author:
Donna Zulman, MD, Va Palo Alto Health Care System & Stanford University School of Medicine
|
|
Comparative Analysis of Three Surveys on Primary Care Providers’ Experiences with Interoperability in Electronic Health Records
Speaker:
Nathaniel Hendrix, PharmD, PhD, American Board of Family Medicine
Author:
Natalya Maisel, PhD, UCSF
Author:
Jordan Everson, PhD, Office of the National Coordinator for Health Information Technology
Author:
Andrew Bazemore, MD, MPH, American Board of Family Medicine
Author:
Lisa Rotenstein, MD MBA, Brigham and Women's Hospital/ Harvard Medical School
Author:
A J Holmgren, PhD, University of California, San Francisco
Author:
Alex Krist, MD, MPH, Virginia Commonwealth University
Author:
Julia Adler-Milstein, PhD, UCSF School of Medicine
Author:
Robert Phillips, MD, MSPH, Center for Professionalism and Value in Health Care
|
|
Comparative Effectiveness of Telemedicine versus In-person Buprenorphine Prescribing
Speaker:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Nana Addo Padi-Adjirackor, MPH, Vanderbilt University
Author:
Kevin Griffith, PhD, Vanderbilt University Medical Center
Author:
Bryan Steitz, PhD, Vanderbilt University Medical Center
Author:
Jessica S. Ancker, MPH, PhD, Vanderbilt University Medical Center
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
|
|
Defining and redefining human disease at scale in the UK Biobank: a framework for disease phenotyping algorithm development and evaluation
Speaker:
Ana Torralbo, PhD, Institute of Health Informatics, University College London
Author:
Cai Ytsma, MSc, Institute Health Informatics, University College London
Author:
Natalie Fitzpatrick, Programme Manager, Institute Health Informatics, University College London
Author:
Chris Tomlinson
Author:
Spiros Denaxas, PhD, University College London
|
|
Developing a Web Application to Visualize and Analyze the Protein-Protein Interactions in Cancer
Speaker:
Benjamin Ahn, BS, Warren Alpert Medical School, Brown University
Author:
Caden Chou, High School Graduate, Brown University
Author:
Jennifer Chen, High School Graduate, Brown University
Author:
Charissa Chou, BS, Rhode Island Hospital
Author:
Alper Uzun, PhD, Brown, University, Department of Pathology and Laboratory Medicine, Department of Pediatrics
Speaker:
Ece Uzun, MS, PhD, Lifespan/Brown University
|
|
Digital Twin for Patient Clinical Workflow: The Musculoskeletal Perspective
Speaker:
Nilmini Wickramasinghe, PhD, MBA, Swinburne University of Technology & Epworth HealthCare
Author:
Nalika Ulapane, PhD
Author:
Nicolas piuzzin, MD, Cleveland Clinic
Author:
Dominic King, DO, FAMIA, Cleveland Clinic
Author:
Jonathan Schaffer, MD, MBA, Cleveland Clinic
|
|
Estimating Dynamic Treatment Effects of Dual Antiplatelet Therapy (DAPT) on Bleeding and Ischemic Risk: Real-World Data Analysis
Speaker:
Zheng Feng, PhD, University of Florida
Author:
Mattia Prosperi, PhD, University of Florida
Author:
Jiang Bian, PhD, University of Florida
Author:
Cui Tao, Ph.D., UTHealth Health Science Center at Houston
Author:
Inyoung Jun, M.S., The University of Florida
Author:
Fang Li, PhD
Author:
Yu Huang, PhD, University of Florida
|
|
Evaluating Accuracy of Oxygen Documentation in Electronic Health Records
Speaker:
Bryan Steitz, PhD, Vanderbilt University Medical Center
Author:
Nikkie Dutta, N/A, Vanderbilt University
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Author:
Elise Russo, MPH, Vanderbilt University Medical Center
Author:
Daniel Fabbri, PhD, Vanderbilt University Medical Center
|
|
Evaluating the Acceptability, System Usability, And Workflow Impacts of AI Diagnostic Imaging Medical Decision Support Systems in Radiology: a Methodological Research Protocol
Author:
David Hua, BEng (Hons) BLaws, The University of Sydney
Author:
neysa petrina
Author:
Noel Young, MD, Lumus Imaging
Author:
Jin-Gun Cho, MD PhD, Lumus Imaging
Speaker:
Simon Poon, PhD MPH, University of Sydney
|
|
Evaluating the Variations in Healthcare Utilization Predictions Across Common Phenotypes of Type 2 Diabetes Using EHR and Claims Data
Speaker:
Star Liu, BS, Johns Hopkins School of Medicine - Biomedical Informatics and Data Science
Author:
Priyanka Sood, BS, MPH, Johns Hopkins University Bloomberg School of Public Health
Author:
Hadi Kharrazi, MD, PhD, FAMIA, FACMI, Johns Hopkins University
|
|
Examining Whole-person Health for Adults with and without Thinking (Cognitive) Challenges
Speaker:
Robin Austin, PhD, DNP, DC, RN-BC, FAMIA, FNAP, University of Minnesota, School of Nursing
Author:
Ratchada Jantraporn, MS, RN, University of Minnesota School of Nursing
Author:
Martin Michalowski, PhD, FAMIA, University of Minnesota
Author:
Jenna Marquard, PhD, University of Minnesota
|
|
Exploring Forensic Nurse Examiner Information Needs for Documenting and Reporting Cases of Interpersonal Violence
Speaker:
Joshua Richardson, PhD, MS, MLIS, RTI International
Author:
Stefany Ramos, PhD, RTI International
Author:
Jaclyn Houston-Kolnik, RTI International
Author:
Paige Presler-Jur, RTI International
Author:
Julia Brinton, RTI International
Author:
Devin Oxner, RTI International
Author:
Sarah Philbrick, RTI International
|
|
Exploring Health Disparities: Racial and Ethnic Differences in Hypertension Medication Effectiveness in the All of Us Research Program
Speaker:
Slavina Goleva, Ph.D., National Institutes of Health
Author:
Tam Tran, M.S., National Institutes of Health
Author:
David Schlueter, Ph.D., National Human Genome Research Institute
Author:
Jacob Keaton, Ph.D., NIH
Author:
Thomas Cassini, M.D., National Institutes of Health
Author:
Huan Mo, M.D., National Institutes of Health
Author:
Ariel Williams, Ph.D., National Human Genome Research Institute/NIH
Author:
Tracey Ferrara, Ph.D., National Institutes of Health
Author:
Joshua Denny, M.D., National Institutes of Health
|
|
Extracting Medication Names and Associated Attributes from Text Messages
Speaker:
Kimberly Powell, PhD, RN, University of Missouri - Columbia
Author:
Philip Amewudah, MS
Author:
Mihail Popescu, PhD
Author:
Gregory Alexander, PhD, RN, Columbia University School of Nursing
Author:
David Mehr, MD
Author:
Suhwon Lee, PhD
|
|
Identifying Pressure-Flow relationships in neurointensive monitoring signals: Testing hypotheses regarding timescale-approprate dynamics using a mechanistic model
Author:
J.N. Stroh, Ph.D., Department of Bioengineering, DBMI, University of Colorado Anschutz Medical Campus
Speaker:
J.N. Stroh, Ph.D., Department of Bioengineering, DBMI, University of Colorado Anschutz Medical Campus
Author:
Brandon Foreman, College of Medicine, University of Cincinnati, Cincinnati
Author:
Tellen Bennett, MD, MS, DBMI, University of Colorado School of Medicine
Author:
Jennifer Briggs
Author:
Soojin Park, MD
Author:
David Albers, PhD, DBMI, University of Colorado Anschutz Medical Campus
|
|
Implementation of EHR Based Cardio-Oncology Algorithm for Generating Patient Referrals in Community Practice
Speaker:
Sam Al-Droubi, MS, Vanderbilt University Medical Center
Author:
Shakthi Bhaskar, MD, Vanderbilt University Medical Center
Author:
Eiman Jahangir, MD, MPH, FACC, FAHA, Vanderbilt University Medical Center
Author:
Kerry Schaffer, MD, Vanderbilt University Medical Center
Author:
Karl Kochendorfer, MD, FAAFP, FAMIA, University of Illinois
Author:
Marianna Krive, DO
Author:
Michal Laufer-Perl, MD
Author:
Dan GILON, MD, Hadassah Hebrew University Medical Center, Heart Institute, Faculty of Medicine
Author:
Christopher Gans, MD
Author:
Joshua Arnold, MD
Author:
Tochukwu Okwuosa, MD
Speaker:
Jacob Krive, PhD, NorthShore University Health System
|
|
Indiana Precision Oncology (IPO) Common Data Model: Design and Development
Author:
Nanxin Jin, Ph.D. Candidate, Purdue University
Speaker:
Netsanet Gebregziabher, M.S., Department of Biostatistics and Health Data Science, Indiana University School of Medicine
Author:
Pavani Jyothi Kavuri, M.S., Indiana University School of Medicine
Author:
Colin Hoffman, M.S., Department of Biostatistics and Health Data Science, Indiana University School of Medicine
Author:
Zuotian Li, Purdue University
Author:
Carmel Egan, Ph.D., Clinical and Translational Sciences Institute, Indiana University School of Medicine
Author:
Baijian Yang, Ph.D., Department of Computer and Information Technology, Purdue University
Author:
Kun Huang, Ph.D., Department of Biostatistics and Health Data Science, Indiana University School of Medicine
Author:
Jing Su, PhD, Indiana University School of Medicine
|
|
Is There a Teamwork Effect in Patient Survival Outcomes? The Effect of Shared Experience on In-hospital Mortality for Patients with Heart Failure
Speaker:
Henry Philofsky, MD, Strong Memorial Hospital
Author:
Abdul Tariq, PhD, Geisinger Health
Author:
Grant DeLong, MA
Author:
Kyle Marshall, MD, Geisinger
Author:
Karen Murphy, PhD RN, Geisinger
Author:
David Vawdrey, PhD, Geisinger
|
|
Knowledge Graph for Acupuncture: Integrating Domain Knowledge from Multiple Sources
Speaker:
Yiming Li, MS, UTHealth Houston School of Biomedical Informatics
Author:
Xueqing Peng, PhD, UTHealth Science Center Houston
Author:
Suyuan Peng, MD, PhD, National Institute of Health Data Science, Peking University, Beijing, China
Author:
Jiayan Lu, MBBS, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
Author:
Yan Hu, MS, UTHealth Science Center Houston
Author:
Cui Tao, Ph.D., UTHealth Health Science Center at Houston
Author:
Hua Xu, PhD, Yale University
Author:
Na Hong, PhD, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
|
|
Large language models are zero-shot oncology information extractors
Speaker:
Madhumita Sushil, PhD, UCSF
Author:
Brenda Miao, B.S., University of California, San Francisco
Author:
Divneet Mandair, MD, UCSF
Author:
Travis Zack, Md/PhD, University of California, San Francisco
Author:
Atul Butte, MD PhD, UCSF
|
|
Leveraging CTCAE to Develop a Comprehensive Mapping Tool to Study Immune Related Adverse Events in Community Hospitals and Cancer Centers
Author:
Richa Phuel, Bachelor of Science in Public Health, university of south florida
Speaker:
Christina Eldredge, MD, PhD, University of South Florida
Author:
Athanasios Tsalatsanis, University of South Florida
Author:
Etienne Pracht, USF College of Public Health
Author:
Cesar Lam, H. Lee Moffitt Cancer Center & Research Institute
Author:
Patrice of south Sarrazin, University of South Florida
Author:
Millan Shah, University of South Florida
|
|
Longitudinal clustering of Life’s Essential 8 health metrics: Application of a novel unsupervised learning method in the CARDIA Study
Speaker:
Peter Graffy, MPH, Northwestern University
Author:
Lindsay Zimmerman, PhD MPH
Author:
Yuan Luo, PhD, Northwestern University
Author:
Jingzhi Yu, BA, Northwestern University Feinberg School of Medicine
Author:
Yuni Choi, PhD
Author:
Rachel Zmora, PhD
Author:
Donald Lloyd-Jones, MD, ScM
Author:
Norrina Allen, PhD, MPH
|
|
Making Clinical Decision Support More Patient Centered and Safe by Expediting Patient and Clinician Engagement
Speaker:
David Lobach, MD, PhD, MS, FACMI, Consulting Associate Professor, Duke University
Author:
Mary Cooley, PhD, Dana-Farber Cancer Institute
Author:
Barbara Halpenny, MA, Dana-Farber Cancer Institute
Author:
Hayley Yackel, PhD, Dana-Farber Cancer Institute
Author:
Aziz Boxwala, MD, PhD, Elimu Informatics
Author:
Catherine Burt, MS, Elimu Informatics
Author:
Janet Abrahm, MD, Dana-Farber Cancer Institute
|
|
Mapping Evidence to Standard Social Intervention Codes to Support Clinical Practice
Author:
Ruth Wetta, RN, PhD, MPH, MSN, Oracle Cerner
Speaker:
Vera Borkowski, MSN, RN, Vanderbilt University School of Nursing
Author:
Rachel Childs, RN, MS, MA, PMHNP
Author:
Katie Delaine Feldner, MSN, RN, CNN
|
|
Methods and Outcomes of an Asynchronous, Online Health Informatics Survey Course for Medical Students
Author:
Alaa Alsadi, UW Health
Author:
Peter Kleinschmidt, UW Health
Author:
David Schneider, MD, MS, FACS, FAMIA, University of Wisconsin
Author:
Jason Dambach, UW Health
Speaker:
Heidi Twedt, MD, University of Wisconsin School of Medicine and Public Health
|
|
Mixed Methods Assessment of Front-Line User Empowerment through a Hospital-Acquired Conditions Visual Analytics Dashboard
Author:
Laura Gillard, MSHS, Children's Healthcare of Atlanta
Author:
David Todd, MBA, Children's Healthcare of Atlanta
Author:
Seton McRae, BSIE, Children's Healthcare of Atlanta
Author:
Evan Orenstein, MD, Childrenís Healthcare of Atlanta
Speaker:
Swaminathan Kandaswamy, PhD, Emory University School of Medicine
|
|
Modeling physicians’ antibiotics use behavior to improve clinical infectious risk models
Author:
Devang Sharma
Author:
Roshan Tourani, MS
Author:
Michael G Usher, MD, PhD
Author:
Christopher Tignanelli, MD, University of Minnesota
Author:
Genevieve Melton-Meaux, MD, PhD, University of Minnesota
Speaker:
Gyorgy Simon, PhD, University of Minnesota
|
|
MTLNFM: Multi-task Learning to Predict Patient Clinical Outcomes with Neural Factorization Machine
Author:
Biao Ye, PhD Student, University of Florida
Author:
Jiaxin Li, Bachelor Student, Changsha University of Science and Technology
Author:
Changyu Yin, M.S., University of Florida
Author:
Xiangyu Chen, Bachelor Student, The Australian National University
Author:
Ashwin Subramaniam, MBBS, MMed, FRACP, FCICM, The Bay Healthcare Group Inc
Author:
Xiang Zhang, PhD, University of North Carolina at Charlotte
Author:
Bian Jiang, PhD, University of Florida
Speaker:
Rui Yin, PhD, University of Florida
|
|
Nursing Surveillance Risk Scores Preceding Psychological Deterioration
Speaker:
Mollie Hobensack, MPhil, BSN, RN, Icahn School of Medicine at Mount Sinai
Author:
Chris Knaplund, MPhil, Columbia School of Nursing
Author:
Haomiao Jia, PhD, MS, Columbia University School of Nursing
Author:
Elise Ruan, MD, MPH, Columbia University Department of Biomedical Informatics
Author:
Ali Soroush, MD, MS, Columbia University Irving Medical Center
Author:
Sarah Rossetti, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
|
|
Portfolio Assessment of Research Projects in the All of Us Research Program
Speaker:
Lina Sulieman, PhD, Vanderbilt University
Author:
Paul Harris, PhD, Vanderbilt University
Author:
Brandy Mapes, MS, Vanderbilt University Medical Center
Author:
Chris Lunt, BS, All of Us Research Program
Author:
Geoffrey Ginsburg, MD,PhD, All of Us Research Program
Author:
Sheri Schullys, PhD, All of Us Research Program
|
|
Predicting Drug Regulatory Approval: A Multi-Method Pilot Using Text Mining and Sentiment Analysis
Speaker:
Dimitrios Soudis, PhD, Pfizer, Inc
Author:
Brett South, MS, PhD, FAMIA, Pfizer, Inc
Author:
Rominder Singh, PhD, Pfizer, Inc
Author:
David Edelen, BS, Pfizer, Inc
Author:
Ajit Jadhav, MS, Pfizer, Inc
Author:
Joan Sopczynski, PhD, Pfizer, Inc
Author:
Prakash Naik, MBA, Pfizer, Inc
Author:
Stephen Watt, MD, Pfizer, Inc
|
|
Prediction and Escalation of Post-Discharge Adverse Events
Speaker:
Marie Leeson, Bachelor of Science in Industrial Engineering, Brigham and Women's Hospital
Author:
Jorge Rodriguez, MD, Brigham and Women's Hospital/Harvard Medical School
Author:
Kaitlyn Konieczny, BS, Brigham and Women's Hospital
Author:
Savanna Plombon, BS
Author:
Robert Rudin, PhD, RAND Corporation
Author:
Pamela Garabedian, M.S., Mass General Brigham Inc.
Author:
Anuj Dalal, MD, Brigham & Women's Hospital
|
|
Prediction of Asthma Prognosis in Children after Asthma Onset
Speaker:
Sunghwan Sohn, Phd, Mayo Clinic
Author:
Elham Sagheb Hossein Pour, Master of Science, Mayo Clinic
Author:
Chung-Il Wi, M.D., Mayo Clinic Minnesota
Author:
bhavanisingh agnikulakshatriya
Author:
Euijung Ryu, Ph.D., Mayo Clinic
Author:
Young Juhn, Ph.D., Mayo Clinic
Author:
Hongfang Liu, PhD, Mayo Clinic
|
|
Prediction of Hand, Foot, and Mouth Disease Incidence Using Adaptive Voting-Based Ensemble Models
Author:
Jianying Guo, Ph.D, Ping An Technology
Speaker:
Lan Wei, PhD, Shenzhen Center for Disease Control and Prevention
Author:
Xiang Li, PhD, Ping An Technology
Author:
Tiejian Feng, MMed, Shenzhen Center for Disease Control and Prevention
Author:
Guotong Xie, Ph.D, Ping An Techonology
Author:
Yongsheng Wu, MMed, Shenzhen Center for Disease Control and Prevention
|
|
Preoperative cannabis use status ascertainment using natural language processing methods and coded data
Speaker:
Ruba Sajdeya, MD, University of Florida
Author:
Chen Bai, MSc, University of Florida
Author:
Mamoun Mardini, PhD, University of Florida
Author:
Sebastian Jugl, BPharm, University of Florida
Author:
Ronald Ison, MS, PMP
Author:
Patrick Tighe, MD, MS, University of Florida
Author:
Kimia Zandbiglari, M.Sc., University of Florida
Author:
Almut Winterstein, RPh, PhD, FISPE, University of Florida
Author:
Thomas Pearson, MD, MPH, PhD, University of Florida
Author:
Robert Cook, MD, MPH, University of Florida
Author:
Masoud Rouhizadeh, MA, MS, PhD, University of Florida
|
|
Primary Care Clinicians’ Use of and Preferences for Electronic Health Record Tools to Support Pediatric Obesity Care
Speaker:
Jessica Ray, PhD, University of Florida
Author:
Carlin Aloe, MPH, Yale School of Medicine
Author:
Emily Finn, MPH, Yale School of Medicine
Author:
Hollyce Tyrrell, MSSW, Academic Pediatric Association
Author:
Yunshan Xu, MS, Yale School of Public Health
Author:
Jeremy Michel, MD, MHS, Children's Hospital of Philadelphia
Author:
Randall Grout, M.D., M.S., Indiana University
Author:
Charles Wood, MD, MPH, Duke University
Author:
Dean Miner, MD, East Carolina University
Author:
Eliana Perrin, MD, MPH, Johns Hopkins Schools of Medicine
Author:
Laura Damschroder, MS, MPH, Implementation Pathways, LLC and Veterans Affairs Center for Clinical Management Research
Author:
Denise Esserman, PhD, Yale School of Public Health
Author:
Mona Sharifi, MD, MPH, Yale School of Medicine
|
|
Primary Care Physician Perceptions of the Impact of CMS E&M Coding Changes and Associations with Objective Measures of Changes in EHR Time
Author:
Natalya Maisel, PhD, UCSF
Author:
Robert Thombley, BS, UCSF
Author:
Christine Sinsky, MD, American Medical Association
Author:
Kathleen Blake, MD, MPH
Author:
J. Marc Overhage, MD, PhD, Elevance Health
Author:
Kevin Grumbach, MD
Author:
Rachel Willard-Grace, MPH
Author:
Lindsey Carlasare, MBA
Speaker:
Julia Adler-Milstein, PhD, UCSF School of Medicine
|
|
Privacy Preserving Self-service DeGAUSS-based Geomarker Portal
Speaker:
Harpreet Singh Gill, BS, Children's Mercy Kansas City
Author:
Jared Johnson, BS, Children's Mercy Hospital
Author:
Catherine Jackson, MHA, PMP, Children's Mercy Hospital
Author:
Kevin Power, BS, Children's Mercy Hospital
Author:
Mark Hoffman, Ph.D., Children's Mercy Hospital
|
|
Promoting Interoperability of Psychiatric Electronic Health Records by the OMOP Common Data Model: Lessons Learned
Speaker:
Zehan (Leo) Li, M.S, The Univeristy of Texas Health Science Center at Houston (UTHealth) School of Biomedical Informatics
Author:
Na Hong, PhD, School of Biomedical Informatics, The University of Texas Health Science Center at Houston, Houston
Author:
Yujia Zhou, M.D, M.S, UTHealth
Author:
Christopher Mao, M.D.
Author:
Salih Selek, M.D., UTHealth McGovern Medical School
Author:
Hua Xu, PhD, Yale University
|
|
Real-time machine learning framework in mobile health platform with COPD case study
Speaker:
Yatharth Ranjan, MSc., King's College London
Author:
Heet Sankesara, B.Tech, King's college London
Author:
Malik Althobiani, MSc.
Author:
Pauline Conde, BSc.
Author:
Zulqarnain Rashid, PhD
Author:
Richard Dobson, PhD, King's College London/University College London
Author:
John Hurst, PhD FRCP FHEA
Author:
Amos Folarin, PhD
|
|
Research Workspaces: Virtual Environments for Healthcare Data Analytics
Speaker:
Steven Wong, MS, UMass Chan Medical School
Author:
Yurima Guilarte-Walker, MS
Author:
George Matthew, MS, UMass Chan Medical School
Author:
Paul Langlois, MS, UMass Chan Medical School
Author:
Brian Coleman, CISSP, CISM, CCSP, UMass Chan Medical School
Author:
Adrian Zai, MD PhD MPH, University of Massachusetts Chan Medical School
|
|
Risk Information Visualization: Nurses’ Preference and Performance
Speaker:
Alvin Jeffery, PhD, RN, U.S. Department of Veterans Affairs
Author:
Vera Borkowski, MSN, RN, Vanderbilt University School of Nursing
Author:
Janelle Faiman
Author:
Michael Matheny, MD, MS, MPH, Vanderbilt University Medical Center
Author:
Russ Beebe, BA, Vanderbilt University Medical Center
Author:
Carrie Reale, MSN, RN, Vanderbilt University Medical Center
Author:
Shilo Anders, PhD, Vanderbilt University Medical Center
|
|
Semantic mapping tool enabling a streamlined review process
Speaker:
Karen Bavuso, RN, MSN, Semedy, Inc.
Author:
Kai Großjohann, MS
Author:
Dirk Wenke, MS, Semedy Inc.
Author:
Saverio Maviglia, MD, MS, Semedy, Inc.
Author:
Roberto Rocha, MD, PhD, Semedy, Inc.
|
|
Standardizing Communication of Patient Information in the EHR using SmartNotes
Speaker:
Plamena Powla, MS, University of Chicago Medical Center
Author:
Sean Bernstein, MD, University of Chicago Medical Center
Author:
Simmer Beniwal, MPH, University of Chicago Medical Center
Author:
Ronald Alvarado-Dyer, MD, University of Chicago Medical Center
Author:
Farima Fakhri, MD, University of Chicago
Author:
Christos Lazaridis, MD, University of Chicago Medical Center
Author:
Fernando D. Goldenberg, MD, University of Chicago Medical Center
Author:
Ali Mansour, MD, University of Chicago Medical Center
|
|
Statistical Forecasting Can Inform Staffing Needs and Improve Bed Management in the Emergency Department
Speaker:
Tamanna T. K. Munia, PhD, Geisinger
Author:
Kyle A. Marshall, MD, Geisinger
Author:
Eric Reich, MSHI, Geisinger
Author:
David Vawdrey, PhD, Geisinger
Author:
Biplab S Bhattacharya, PhD, Geisinger Health System
|
|
Strategies to develop, design, implement and support digital health equity in key underserved groups: a systematic review.
Speaker:
Sarah Wilson, Msc, Bsc, Newcastle university
Author:
Clare Tolley, PhD, MRPharmS, FFCI, Newcastle University
Author:
Riona McArdle, PhD, Newcastle university
Author:
Lauren Lawson, MSc, Newcastle University
Author:
Emily Beswick, PhD, Newcastle university
Author:
Bob Slight, PhD, The Newcastle upon Tyne Hospitals NHS Foundation Trust
Author:
Nehal Hassan, Newcastle University
Author:
Sarah Slight, PhD, Newcastle University
|
|
Streamlining Referrals and Network Access to Specialty Care Using Machine Learning
Speaker:
Jennifer Tran, PharmD
Author:
Amit Kaushal, MD PhD, Stanford Medicine
Author:
Susan Weber, PhD, Stanford Medicine
Author:
Joseph Pallas, PhD
Author:
Vikrant Singh, BS, Stanford Medicine
Author:
Satchi Mouniswamy, BS, Stanford Medicine
Author:
Silvia Ramirez, BA, Stanford Medicine
Author:
Mandeep Singh, BA, Stanford Medicine
Author:
Aimmon Lago, BS, Stanford Medicine
Speaker:
Ron Li, MD, Stanford School of Medicine
|
|
Successful Transitions to Stable Housing for Veterans Experiencing Homelessness: Does Spending Translate to Better Outcomes?
Speaker:
Brian Douthit, PhD, RN-BC, Department of Biomedical Informatics, Vanderbilt University
Author:
Alvin Jeffery, PhD, RN, U.S. Department of Veterans Affairs
Author:
Thomas Reese, PharmD, PhD, Department of Biomedical Informatics, Vanderbilt University
Author:
Michael Matheny, MD, MS, MPH, Vanderbilt University Medical Center
|
|
Systematically screening for race-ethnicity disparities across near-countless clinical situations in two large health care systems
Speaker:
Paul Dexter, MD, Regenstrief Institute
Author:
Titus Schleyer, DMD, PhD, Regenstrief Institute
Author:
Curtis Wright, MD, Eskenazi Health
Author:
Gregory Dexter
Author:
David Crabb, M.D.
Author:
Randall Grout, M.D., M.S., Indiana University
Author:
Brownsyne Tucker Edmonds, M.D., M.P.H., M.S.
Author:
Mehda Kulkarni
|
|
Telemedicine and Hospital Visits Post-Hospital Discharge in Oncology
Author:
Allison Lipitz-Snyderman, PhD, Memorial Sloan Kettering Cancer Center
Author:
Charlie White, BS,MS
Author:
Kenneth Seier, BS,MS
Author:
Raymond Baser, BS, Memorial Sloan Kettering Cancer Center
Author:
Zoe Spiegelhoff, MS, Memorial Sloan Kettering Cancer Center
Author:
SUSAN CHIMONAS, PhD, Memorial Sloan Kettering Cancer Center
Author:
Courtney Thompson, RN MPH, Memorial Sloan Kettering Cancer Center
Author:
Lisa Diamond, MD MPH
Author:
Fernanda Polubriaginof, MD PhD, Memorial Sloan Kettering Cancer Center
Speaker:
Gilad Kuperman, MD PhD, Memorial Sloan Kettering Cancer Center
|
|
The IDEA Study: Identifying and Adapting Interventions to Reduce Documentation Burden and Improve Nurses’ Efficiency in Using EHRs
Author:
Jessica Kemp, BSc, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Lydia Sequeira, PhD, Centre for Addiction and Mental Health
Author:
Wei Wang, PhD
Author:
Alina Lee, MSc
Author:
Charlotte Pape
Author:
Sonia Pagliaroli, MSc
Author:
Gillian Strudwick, PhD, Centre for Addiction and Mental Health
Speaker:
Danielle Shin
|
|
The MIDAS Catalog and Curated Archive of Global Public Health Data
Speaker:
Jessi Espino, MD MS, University of Pittsburgh
Author:
John Levander, BS, University of Pittsburgh
Author:
Lucie Contamin, MS, University of Pittsburgh
Author:
Cross Anne, MLIS, University of Pittsburgh
Author:
Harry Hochheiser, PhD, University of Pittsburgh Department of Biomedical Informatics
|
|
The Role of Technology and Informatics Tools in Human Trafficking Interventions Implemented in Healthcare Settings: A Scoping Review
Speaker:
Michelle Gomez, MS, Vanderbilt University
Author:
Ellen Clayton, JD, MD, Vanderbilt University Medical Center
Author:
Colin Walsh, MD, MA, FACMI, FAMIA, Department of Biomedical Informatics, Vanderbilt University
Author:
Kim Unertl, PhD, Vanderbilt University Medical Center
|
|
The Women in AMIA Leadership Training Program: Applying Lessons Learned to a Team of 50
Speaker:
Rachael Howe, MS, BSN RN, 3M HIS
Author:
Arta Kelmendi-Doko, MD PhD, 3M HIS
Author:
Dannie Greenlee, MS, BSN, RN, 3M HIS
Author:
Tiffany Harman, MSN, RN, 3M HIS
Author:
Lee Min Lau, MD, PhD, 3M HIS
|
|
Towards building a recommender system: Ovarian cancer (OvCa) patients and caregivers' information needs and perceived disease knowledge across different illness trajectories
Speaker:
Chi Ching Vivian Hui, RN,BSN, PhD, University of Pittsburgh
Author:
Yu Chi, PhD, University of Kentucky
Author:
Khushboo Thaker, BE, MTech, University of Pittsburgh
Author:
Youjia Wang, BSN, RN, University of Pittsburgh School of Nursing
Author:
Heidi Donovan, PhD, RN
Author:
Peter Brusilovsky, PhD, University of Pittsburgh
Author:
Daqing He, PhD, University of Pittsburgh
Author:
Young Ji Lee, PhD, MS, RN
|
|
Towards Characterizing the Progression to Dementia Onset through Network Analysis
Speaker:
Muskan Garg, Postdoc, PhD, Mayo Clinic
Author:
Seyedehsara Hejazi, Student, University of Central Florida
Author:
Sunyang Fu, PhD
Author:
Maria Vassilaki, MD, PhD, Mayo Clinic
Author:
Ronald Peterson, MD, PhD, Mayo Clinic
Author:
Jennifer St Sauver, PhD, Mayo Clinic
Author:
Sunghwan Sohn, Phd, Mayo Clinic
|
|
Towards Designing interpretable artificial intelligence to prevent dispensing errors: A focus group study
Speaker:
Yifan Zheng, Doctor of Pharmacy (Pharm.D.), University of Michigan College of Pharmacy
Author:
Jin Yong Kim, Bachelor of Science in Engineering, Industrial and Operations Engineering, College of Engineering, University of Michigan
Author:
Qiyuan Chen, Bachelor of Science in Engineering, Industrial and Operations Engineering, College of Engineering, University of Michigan
Author:
Brigid Rowell, Master of Arts, University of Michigan College of Pharmacy
Author:
X Jessie Yang, Doctor of Philosophy, Industrial and Operations Engineering, College of Engineering, University of Michigan
Author:
Raed Al Kontar, Doctor of Philosophy, Industrial and Operations Engineering, College of Engineering, University of Michigan
Author:
Corey Lester, PhD, PharmD, University of Michigan College of Pharmacy
|
|
Towards Identification of Delirium in Clinical Text
Speaker:
John Osborne, PhD, University of Alabama at Birmingham
Author:
Mayeesha Humaira, BS, University of Alabama at Birmingham
Author:
Mojisola Fasokun, MS, University of Alabama at Birmingham
Author:
Ahana Chatterjee, BS, University of Alabama at Birmingham
Author:
Tobias O'Leary, MS, The University of Alabama at Birmingham
Author:
Christina DiBlasio, PhD, University of Alabama at Birmingham
Author:
Richard Kennedy, PhD MD, University of Alabama at Birmingham
|
|
TrajVis: a visual clinical decision support system to translate AI/ML trajectory models in the precision management of CKD
Speaker:
Zuotian Li, Purdue University
Author:
Xiang Liu, Indiana University School of Medicine
Author:
Ziyang Tang, Purdue University
Author:
Nanxin Jin, Ph.D. Candidate, Purdue University
Author:
Michael Eadon, Indiana University School of Medicine
Author:
Qianqian Song, Wake Forest University School of Medicine
Author:
Yingjie Chen, Purdue University
Author:
Jing Su, PhD, Indiana University School of Medicine
|
|
Transforming Retinal Vascular Disease Classification: A Comprehensive Analysis of ChatGPT's Performance and Inference Abilities
Author:
Xiaocong Liu, MS, Zhejiang university
Author:
jiageng wu, MS, Zhejiang university
Author:
An Shao, MM, Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
Author:
Wenyue Shen, MB, Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
Author:
Juan Ye, MD, Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
Author:
Kai Jin, MD, Eye Center, The Second Affiliated Hospital, School of Medicine, Zhejiang University
Speaker:
Jie Yang, Phd, Zhejiang University
|
|
Understanding Sociodemographic Data Collection Workflows in Emergency Department Settings: A Qualitative Study
Speaker:
Sarah El-Azab, MS, University of Michigan
Author:
Timberlee Whiteus, MPH, University of Michigan
Author:
Megan Hogikyan, MPH, University of Michigan
Author:
Michelle Macy, MD, Ann & Robert H. Lurie Children’s Hospital of Chicago and Northwestern University Feinberg School of
Author:
Michele Nypaver, MD, University of Michigan
Author:
Keith Kocher, MD, MPH, University of Michigan
|
|
Use of Voice-Based Conversational Agents and Artificial Intelligence to Manage Chronic Illness: A Systematic Review
Speaker:
Sabrina Mangal, PhD, RN, University of Washington School of Nursing
Author:
Elizabeth Frazier, MN, RN, University of Washington School of Nursing
Author:
Judy Kwan, BSN, RN, University of Washington School of Nursing
Author:
Tao Zheng, MN, RN, University of Washington School of Nursing
Author:
Jonathan Auld, PhD, MAT, RN, University of Washington School of Nursing
|
|
User-Centered Design Workshop to Develop Clinical Decision Support Tools for Patient Mobility in the ICU
Speaker:
Anna Krupp, PhD, MSHP, RN, University of Iowa, College of Nursing
Author:
Heather Dunn, PhD, ARNP, ACNP-BC, University of Iowa
Author:
Nikta Kia, MSN, University of Iowa
Author:
Karen Dunn Lopez, PhD, MPH, RN, FAAN, University of Iowa College of Nursing
|
|
Using A Stakeholder Driven-Process to Advance Patient-Centered Clinical Decision Support: Visual Framework for Clinical Decision Support Innovation Collaborative (CDSiC) Efforts
Speaker:
Rina Dhopeshwarkar, MPH, NORC at the University of Chicago
Author:
Dean Sittig, PhD, UTHealth Health Science Center at Houston
Author:
Courtney Zott, MPH, NORC at the University of Chicago
Author:
Priyanka Desai, PhD, MPH, CPH, NORC at the University of Chicago
Author:
Edwin Lomotan, MD, AHRQ
Author:
James Swiger, MBE, Agency for Healthcare Research and Quality
Author:
Prashila Dullabh, MD, NORC at the University of Chicago
|
|
Using Cluster Analyses to Facilitate Security Group Simplification for a Large Enterprise Data Warehouse
Speaker:
Ashley Oliver, MPH, Children's Hospital of Philadelphia
Author:
Mary Rosman, BS, Children's Hospital of Philadelphia
Author:
Elizabeth Senay, BA, BSN, Children's Hospital of Philadelphia
Author:
Suresh Sampangiraman, BE, Children's Hospital of Philadelphia
Author:
David Hodges, MBA, Children's Hospital of Philadelphia
Author:
Hojjat Salmasian, MD, MPH, PhD, Children's Hospital of Philadelphia
|
|
Using Natural Language Processing to Identify Stigmatizing Language in Labor and Birth Clinical Notes
Speaker:
Danielle Scharp, MSN, RN, Columbia University
Author:
Hans Moen, PhD, MSc, Aalto University, Finland
Author:
Anahita Davoudi, PhD, VNS Health
Author:
Betina Idnay, PhD, RN, Columbia University Department of Biomedical Informatics
Author:
Kenrick Cato, PhD, CPHIMS, FAAN, University of Pennsylvania/Children’s Hospital of Philadelphia
Author:
Max Topaz, PhD, RN, MA, FAAN, Columbia University School of Nursing
Author:
Veronica Barcelona, PhD, MSN, RN, Columbia University
|
|
Using Polygenic Risk Scores to Evaluate EHR-derived Codeine Prescription Patterns and Opioid Use Disorder
Speaker:
Wenyu Song, PHD, Brigham and Women's Hospital, Harvard Medical School
Author:
Max Lam, PhD
Author:
Ruize Liu, PhD
Author:
Kenneth Mukamal, MD
Author:
Adam Wright, PhD, Vanderbilt University Medical Center
Author:
David Bates, MD, Brigham and Women's Hospital
|
|
Utilizing Relational Database Design for Scalable Phenomics Library Development
Speaker:
Yuk-Lam Ho, MPH, VA Boston Healthcare System
Author:
Michael Murray, MS, Oak Ridge National Laboratory
Author:
Rahul Sangar, MPH, VA Boston Healthcare systems
Author:
John Russo, MS, VA Boston Healthcare System
Author:
Jacqueline Honerlaw, RN, MPH, VA Boston Healthcare System
Author:
Keith Connatser, BS, Oak Ridge National Laboratory
Author:
David Heise, MS
Author:
Kelly Cho, PhD, MPH, VA Boston Healthcare System
|
|
Visual Exploration of the Results and Errors of Information Extraction
Author:
Huan He, PhD, Mayo Clinic
Speaker:
Sunyang Fu, PhD
Author:
Andrew Wen, MS, Mayo Clinic
Author:
Liwei Wang, M.D., Ph.D, Mayo Clinic
Author:
Sungrim Moon, PhD, Mayo Clinic
Author:
Kurt Miller, MS, Mayo Clinic
Author:
Hongfang Liu, PhD, Mayo Clinic
|
|
What Canadians Think: Privacy, Trust, and the Health Data Ecosystem.
Speaker:
Nelson Shen, MHA, PhD, Centre for Addiction and Mental Health
Author:
Iman Kassam, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Jessica Kemp, BSc, MHI, Centre for Addiction and Mental Health (CAMH)
Author:
Clement Ma, PhD, Centre for Addiction and Mental Health
Author:
Sheng Cheng, PhD, Centre for Addictions and Mental Health
Author:
Abigail Carter-Langford, LLM, Canada Health Infoway
|
Location: Grand Salon
Session Code: P02
|
Location: Grand Salon
Session Code: P02
|
2023111417:0018:30 001
|
TUE, NOV 14
|
F7DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:00 AM - 1:00 PM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111310:0013:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:00 PM - 6:30 PM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111315:0018:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:00 AM - 1:00 PM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111410:0013:00 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:00 PM - 6:30 PM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111415:0018:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:00 AM - 10:30 AM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111310:0010:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:00 AM - 10:30 AM CST
|
|
Location: Grand Salon
|
Location: Grand Salon
|
2023111410:0010:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:00 AM - 1:00 PM CST
|
|
Location: Grand Salon
Session Code: CH1
|
Location: Grand Salon
Session Code: CH1
|
2023111310:0013:00 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
9E9CF833-CB53-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
3:00 PM - 5:30 PM CST
|
|
Location: Grand Salon
Session Code: CH2
|
Location: Grand Salon
Session Code: CH2
|
2023111315:0017:30 000
|
MON, NOV 13
|
F58542F3-0236-EE11-80F5-C3E5968D533D
9E9CF833-CB53-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:00 AM - 12:30 PM CST
|
|
Location: Grand Salon
Session Code: CH3
|
Location: Grand Salon
Session Code: CH3
|
2023111410:0012:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
9E9CF833-CB53-EE11-80F5-C3E5968D533D
|
|
Sunday, Nov 12, 2023
|
Sunday, Nov 12, 2023
5:00 PM - 7:00 PM CST
|
|
Welcome Reception - Exhibit Hall Open
Join us for the opening of the Exhibition Hall. Symposium allows informaticians from across the country to gather in New Orleans for five days of learning and networking. Now is the time to get started. Join your peers for an opportunity to meet new friends and reconnect with old ones. Light hors devours will be served.
General Conference
Location: Grand Salon
Session Code: REC1
|
Location: Grand Salon
Session Code: REC1
|
2023111217:0019:00 000
|
SUN, NOV 12
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
3:00 PM - 5:30 PM CST
|
|
Location: Grand Salon
Session Code: CH4
|
Location: Grand Salon
Session Code: CH4
|
2023111415:0017:30 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
9E9CF833-CB53-EE11-80F5-C3E5968D533D
|
|
Monday, Nov 13, 2023
|
Monday, Nov 13, 2023
10:30 AM - 1:00 PM CST
|
|
Poster Session 1 Preview
All posters from Poster Session 1 will be displayed during this session. Utilize this time to identify posters you would like to revist when the speakers are available in the evening session.
Poster
Location: Grand Salon
Session Code: PSP1
|
Location: Grand Salon
Session Code: PSP1
|
2023111310:3013:00 000
|
MON, NOV 13
|
F7DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
10:30 AM - 1:00 PM CST
|
|
Poster Session 2 Preview
All posters from Poster Session 2 will be displayed during this session. Utilize this time to identify posters you would like to revist when the speakers are available in the evening session.
Poster
Location: Grand Salon
Session Code: PSP2
|
Location: Grand Salon
Session Code: PSP2
|
2023111410:3013:00 000
|
TUE, NOV 14
|
F7DADCFC-2A98-ED11-80F4-8AF502304007
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:00 PM - 1:00 PM CST
|
|
Meet the Editors: JAMIA and JAMIA Open
Meet the Editors Session! Live and in-person. Editors-in-Chief Suzanne Bakken, JAMIA, and Neil Sarkar, JAMIA Open. Please visit the OUP booth (#209) in the Exhibit Hall.
General Conference
Location: Grand Salon
|
Location: Grand Salon
|
2023111412:0013:00 000
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
|
|
Tuesday, Nov 14, 2023
|
Tuesday, Nov 14, 2023
12:00 AM - 11:59 PM CST
|
|
AMIA T-Shirt Day
On Tuesday, November 14 AMIA will be hosting its first-ever t-shirt day. We are asking the informatics community to purchase a shirt, take a picture, and post on social media with the hashtag AMIA2023. We offer a variety of colors and styles. All proceeds go to the LEAD fund. Here is the link: Eat. Sleep. Informatics. | Bonfire (order by October 19)
General Conference
Networking
Location:
|
Location:
|
2023111400:0023:59 101
|
TUE, NOV 14
|
F58542F3-0236-EE11-80F5-C3E5968D533D
A75E28DB-8F46-EE11-80F5-C3E5968D533D
|
|