Program Schedule

S03: Panel - Working Towards Shareable and Interoperable Patient and Clinician Facing Clinical Decision Support - Experiences from the Field

Speaker(s):

Kristen Miller Roland Gamache Joshua Richardson Laura Marcial

S04: Oral Presentations - TBI Foundations & Application

Speaker(s):

Jae-Yoon Jung Arohee Bhoja Brianna Chrisman Astrid Manuel Maya Varma

Mapping the Unmapped Readspace in Whole Genome Sequencing Data: The Blood Microbiome of 1,000 Families Brianna Chrisman Chloe He

Frequent Sampling of LCLs may Affect Genotyping Quality in Whole Genome Sequencing Jae-Yoon Jung

An Integrative Network-based Analysis of Genetic Variants and Differential DNA Methylation in Brain Tissue of Multiple Sclerosis Patients Astrid Manuel

Applying a computational transcriptomics-based drug repositioning pipeline to identify therapeutic candidates for endometriosis Arohee Bhoja

Maximum-flow formulation improves feature stability of machine learning models trained on high-dimensional whole genome datasets Maya Varma

S05: Panel - Data Acquisition and Harmonization of COVID-19 Case Data Across Common Data Models: Early Field Reports from the National COVID Cohort Collaborative (N3C)

Speaker(s):

Xiaohan Zhang Stephanie Hong Emily Pfaff Dazhi Jiao Christopher Chute

S06: Panel - Unlocking Clinical Concepts Embedded in Unstructured Text to Advance COVID-19 Analytics for National COVID Cohort Collaborative (N3C)

Speaker(s):

Sijia Liu Hongfang Liu Hua Xu Justin Guinney Rafael Fuentes Peter Szolovits

S07: Oral Presentations - Medications and Drug Adverse Events

Speaker(s):

Yue Wang Jonathan Bidwell Franck Diaz-Garelli Aidan Gilson Douglas Arneson

Analysis of Health Trajectories Leading to Adverse Opioid Events Aidan Gilson

A Contextual Inquiry: FDA Investigational New Drug Clinical Review Jonathan Bidwell

A Generalizable Framework for Exhaustive Cost-Effectiveness Analysis of Drugs for a Given Clinical Indication Leveraging Real-World Evidence Douglas Arneson

Exploring the Hazards of Scaling Up Clinical Data Analyses: A Drug Side Effect Discovery Case Report Franck Diaz-Garelli

An Evaluation of Clinical Natural Language Processing Systems to Extract Symptomatic Adverse Events from Patient-Authored Free-Text Narratives Yue Wang

S08: Oral Presentations- Improving Data Quality

Speaker(s):

Meenakshi Mishra Yue Yu Rose Glavin Bryan Wilbanks Christian Rose

Hypothyroidism - A Causal Approach to Testing Assumptions against Empirical Data. Rose Glavin

Impact of Data Entry Interface Design on Cognitive Workload, Documentation Correctness, and Documentation Efficiency Bryan Wilbanks

Developing an ETL Tool for Converting PCORnet CDM into OMOP CDM Yue Yu

Mine the Gap: Utilizing Process Mining to Identify Actual Stroke Care Versus the Guidelines Christian Rose

Bridging the Gaps between Evidence and Practice of Assessing Risks and Addressing Harms by Primary Care Providers for Adults on Chronic Opioid Therapy Meenakshi Mishra

S09: Oral Presentations - Patient-centered Care and Outcomes

Speaker(s):

Jiancheng Ye Olivia Milgrom Jeffrey Klann Ibukun Fowe Zoe Liao

Applying the Extension for Community Health Care Outcomes (ECHO) Model for Cancer Prevention and Survivorship Care: Formative Evaluation of Program Design Olivia Milgrom

Using Patient Counting Analytics to Enhance Data Quality in a Nationwide Clinical Research Network Jeffrey Klann

Challenges to Global Standardization of Outcome Measures Zoe Liao

The Effects and Patterns among Mobile Health, Social Determinants and Physical Activity: A National Cross-Sectional Study Jiancheng Ye

Evaluating Organizational Readiness for change in the Implementation of Telehealth and mobile Health Interventions for Chronic Disease Management Ibukun Fowe

S10: Oral Presentations - Never Stop (Machine) Learning

Speaker(s):

YiFan Wu Joseph Beals Rima Arnaout Andrzej Prokop Harshavardhan Srijay

Quantifying COVID-19 In-hospital Deterioration Risk Using Acuity at Admission as Measured by the Rothman Index Joseph Beals

Expert-level prenatal detection of complex congenital heart disease from screening ultrasound using deep learning Rima Arnaout

Prediction of Blood-Brain Barrier Permeability to Drugs with FDA Adverse Event Report Derived Embeddings YiFan Wu

SAEgnal: A Predictive Assessment Framework for Optimizing Safety Profiles in Immuno-Oncology Combination Trials Andrzej Prokop

Predictive Modeling Using Transcriptomic Signatures of COVID-19 and Other Infectious Diseases Harshavardhan Srijay

S11: Panel - Lessons Learned from Healthcare Organizations Contributing Clinical Data to the National COVID Cohort Collaborative (N3C)

Speaker(s):

Stéphane Meystre Ram Gouripeddi Jeffery Talbert Jeremy Harper

W01: Developing Natural Language Processing Solutions to Facilitate Clinical and Translational Research

Speaker(s):

Hongfang Liu Hua Xu

S12: Oral Presentations - Equity, Accuracy, and Reproducibility of Clinical and Translational Research

Speaker(s):

Suranga Kasthurirathne Naleef Fareed Agata Foryciarz Eun Ji Kim Mr. Wentao Li

Community-based Organizations as Partners in Addressing Racial Disparities in Infant Mortality: Establishing an Infrastructure for Routine Data Collection. Naleef Fareed

Clinical Impact of Satisfying Group Fairness Constraints in Revised Pooled Cohort Equations Agata Foryciarz

Identifying Biases in Clinical Decision Models Designed to Predict Need of Wraparound Services Suranga Kasthurirathne

Improving social determinants of health screening: Examination of patients with limited English proficiency Eun Ji Kim

VERTIcal Grid lOgistic regression with Confidence Intervals (VERTIGO-CI) Mr. Wentao Li

S13: Oral Presentations - Methods in NLP

Speaker(s):

Stéphane Meystre Mihir Khambete Jeffrey Smith Abraham Sanders Mr. Qiang Wei

Quantification of BERT Diagnosis Generalizability Across Medical Specialties Using Semantic Dataset Distance Mihir Khambete

Pseudo-data generation for the extraction of Problems, Treatments and Tests Jeffrey Smith

A Discrete Joint Model for Entity and Relation Extraction from Clinical Notes Mr. Qiang Wei

COVID-19 Diagnostic Testing Prediction Using Natural Language Processing to Power a Data-Driven Symptom Checker Stéphane Meystre

Unmasking the conversation on masks: Natural language processing for topical sentiment analysis of COVID-19 Twitter discourse Abraham Sanders

S14: Panel - Implementability of Deep Learning based Predictive Models: Bridging Data Science Research and Real-World Practice

Speaker(s):

Robert Murphy Kathleen McGrow Degui Zhi Angela Ross Laila Gindy Bekhet

S15: Panel - Intelligent Integrative Informatics Approaches for Big Data Aggregation, Sharing and Analytics in Stem Cell Research

Speaker(s):

Fadia Shaya Kirill Borziak Avi Ma'ayan Joseph Finkelstein Ben MacArthur

S16: Panel - Are We There Yet? Finding, Analyzing and Using Better Information for Pandemics

Speaker(s):

Karen Monsen Nicholas Tatonetti Kate Fultz Hollis John Lauerman Scott McGrath

Translational Bioinformatics/Data Science Year in Review: Dr. Nicholas Tatonetti

Speaker(s):

Nicholas Tatonetti

S17: Oral Presentations - Applied CRI: Solving Real World Problems

Speaker(s):

Silvia Canelón Yiye Zhang Jay Patel Xinyu Li Ping Zhang

Brain Atlas Guided Attention U-Net for White Matter Hyperintensity Segmentation Ping Zhang

The Impact of Sickle Cell Status on Adverse Delivery Outcomes Using Electronic Health Record Data Silvia Canelón

Comparison of Ease of Use and Comfort in Fitness Trackers for Subjects Impaired by Parkinson’s disease: An Exploratory Study Jay Patel

Examining Patterns of Computerized Physician Order Entry in Emergency and Inpatient Heart Failure Management Yiye Zhang

Differentiating between Hemorrhage and Sepsis for Hypotensive Patients Using Arterial Pressure Data Xinyu Li

S18: Oral Presentations - Interpreting and Explaining AI

Speaker(s):

Seyedeh Neelufar Payrovnaziri Yoonyoung Park Jifan Gao Melanie Pradier Panayiotis Petousis

Assessing the Impact of Imputation on the Interpretations of Prediction Models: A Case Study on Mortality Prediction for Patients with Acute Myocardial Infarction Seyedeh Neelufar Payrovnaziri

More Generalizable Models for Sepsis Detection Under Covariate Shift Jifan Gao

Algorithmic Fairness in Risk Prediction Models for Patients with Opioid Use Disorder Yoonyoung Park

Towards a Checklist for Data-driven Predictive Models Panayiotis Petousis

Preferential Mixture-of-Experts: Interpretable Models that Rely on Human Expertise As Much As Possible Melanie Pradier

S19: Panel - Evidence-based Tools and Strategies for Evaluating the Safety of Health Information Technology Systems: The State of Practice, Challenges, and the Road Ahead

Speaker(s):

Aaron Dietz Jeanie Scott Michael Rosen Teja Kuruganti David Classen

S20: Panel - Computable Phenotypes: A Primer on Creation, Evaluation and Applications

Speaker(s):

Lisa Bastarache Jeffrey Brown Nicholas Tatonetti Mark Weiner

S21: Panel - Harmonizing What to Analyze in the National COVID Cohort Collaborative (N3C): Lessons Learned

Speaker(s):

Joel Saltz Andrew Girvin Richard Moffitt Kristin Kostka Harold Lehmann

W02: Common Approaches to FAIR Data Policy in the US and Europe: key issue to accelerate science in times of Covid-19 Pandemic

Speaker(s):

Catherine Chronaki Neil Bahroos Carlos Parra-Calderon Anthony Solomonides Umberto Tachinardi

S22: Panel - What We Know About Data Warehousing in Support of Clinical and Translational Research: National Survey Results and the Work Ahead

Speaker(s):

Catherine Craven Thomas Campion Jeremy Harper Boyd Knosp

S23: Oral Presentations - Discovery of Knowledge: The Next Frontier

Speaker(s):

Eric Lee Jie Zhu Toan Ong Benjamin Nye Nicholas Larson

Deriving family history scores from electronic health record data for prediction of disease risk Nicholas Larson

Privacy-Preserving Transitive Record Linkage Toan Ong

Privacy-preserving Sequential Pattern Mining in distributed EHRs for Predicting Cardiovascular Disease Eric Lee

Recommender system of scholarly papers using public datasets Jie Zhu

Understanding Clinical Trial Reports: Extracting Medical Entities and Their Relations Benjamin Nye

S24: Oral Presentations - Two Sides of the Same Coin: Clinical Decision Support and Quality Measurement

Speaker(s):

Shivani Sivasankar Andrew Wen Michael Watkins Katarzyna Tarnowska Katy Trinkley

ResultsMyWay: combining Fast Healthcare Interoperability Resources (FHIR), Clinical Quality Language (CQL), and informational resources to create a newborn screening application Michael Watkins

Ranking Methodology to Evaluate the Severity of a Quality Gap Using a National EHR Database Shivani Sivasankar

Explainable AI-based clinical decision support system for hearing disorders Katarzyna Tarnowska

Outcomes of a Clinical Decision Support (CDS) Tool Informed by Implementation Science: A Cluster-Randomized Controlled Trial to Improve Heart Failure Prescribing Katy Trinkley

CQL4NLP: Development and Integration of FHIR NLP Extensions in Clinical Quality Language for EHR-driven Phenotyping Andrew Wen

Medication information resource tools: Who uses them and for what purpose are they used?

Speaker(s):

Shilo Anders

S25: Oral Presentations - Phenotyping: Implementation and Application

Speaker(s):

Martin Chapman Asher Moldwin David Schlueter Sarah Tadlock Alice Tang

Empirical Findings on the Role of Structured Data, Unstructured Data, and their Combination for Automatic Clinical Phenotyping Asher Moldwin

Phenoflow: A Microservice Architecture for Portable Workflow-based Phenotype Definitions Martin Chapman

Deep Clinical Phenotyping and Network Analysis of Alzheimer Disease Patients Leveraging Electronic Medical Records Data Alice Tang

Development of an Informatics Algorithm to Link Seasonal Infectious Diseases to Birth-Dependent Diseases Across Species: A Case Study with Osteosarcoma Sarah Tadlock

Temporal Phenotypic Progression in Neurofibromatosis Type 1 David Schlueter

A Review of Discordance in Disparate Clinical Data through the Construction of a General Pediatric Cancer Population

Speaker(s):

Ashley Batugo

Evaluation of SOFA score for Outcome Prediction in COVID-19 ICU Patients

Speaker(s):

Kriti Bhattari

S26: Panel - Performance of COVID-19 Research in the CTSA ACT Network

Speaker(s):

Michele Morris Griffin Weber Jeffrey Klann Dipti Ranganathan Shawn Murphy

Extracting COVID-19 Related Symptoms from EHR Data: A Comparison of Three Methods

Speaker(s):

Hannah Burkhardt

Analysis of EHR-driven Standardized Nursing Data to Explore Psychospiritual Care for Hospitalized Patients

Speaker(s):

Fabiana Dos Santos

Turn Right Here: A Journey through the Pathways of AMIA - Q&A Session for Students

Speaker(s):

Dr. Adela Grando Dr. Patricia Dykes Gretchen Purcell Jackson Mary Regina Boland Saif Khairat Ms. Hope Gray Scott McGrath

Preliminary Experience with Teleophthalmology in Residency Education

Speaker(s):

Michael Fliotsos

Explore the Usage of a Multi-modal Social Risk Decision Support Tool in Primary Care and Patient Characteristics

Speaker(s):

Weiwei Ge

Application of an informatics needs assessment to guide discussions on the development of a roadmap for an informatics-savvy injury center

Speaker(s):

Jeffrey Gordon Kamran Ahmed

Resynthesizing MIMIC-III Personally Identifiable Information Tags to Increase Corpus Utility: Process and Impact Assessment

Speaker(s):

Paul Heider

Clinical Research Informatics/Informatics Implementation Year in Review: Dr. Peter Embi

Speaker(s):

Peter Embi

Increased utilization of telemedicine in cancer patients during the COVID-19 pandemic

Speaker(s):

Hu Huang

Quantifying Record Linkage of Research Studies with CMS Claims Data

Speaker(s):

Vojtech Huser

S27: Panel - Extracting clinical data from EHRs to support research: Early lessons from the Cancer Moonshot?s IMPACT Consortium

Speaker(s):

Firas Wehbe Jennifer Popovic Michael Hassett Roxanne Jensen Parvez Rahman

The Potential in Standardized Process for Dysphagia Rehabilitation after Cerebrovascular Diseases

Speaker(s):

Shogo Kato

Social Determinants Associated with COVID-19 Mortality in the United States

Speaker(s):

Shayom Debopadhaya

Automated Category Alignment Applied to Different De-identification Annotation Schemata

Speaker(s):

Stéphane Meystre

S28: Systems Demonstrations - The Digital Era of National Collaboratives for Patient Care

Speaker(s):

Anupama Maram Kavishwar Wagholikar Rajan Chandras

Demonstration of a Self-service De-identified COVID-19 Data Lake Rajan Chandras

Deploying i2b2 as study-specific application for clinical data analysis Kavishwar Wagholikar

Synchronized Coordination of The ACT Network to Rapidly Identify COVID-19 Patients in an Evolving Global Crisis Anupama Maram

Maturity in Enterprise Data Warehouses for Research Operations: Initial Model and Pilot Results

Speaker(s):

Boyd Knosp

Research Recruitment with the Patient Portal and Clinical Data Warehouse

Speaker(s):

Adam Lee

S29: Panel - Tales from the Front Line ? What Happens Between Here and There with HL7 Data Exchanges

Speaker(s):

Sandi Mitchell Maureen Layden Fran Martin Eric Lachance Jason Vogt

Applying deterministic and probabilistic record linkage approaches to quantify residential history in the electronic health record

Speaker(s):

Xuan Lin

Comparison and Analysis of Concordance for Two Popular Geocoding Methods Applied to Electronic Health Record Data

Speaker(s):

Selah Lynch

S30: Oral Presentations - You Had Me at Ontologies: Exploring Relationships

Speaker(s):

Suresh Bhavnani Rachel Melamed Tiffany Callahan Rachel Richesson Justin Reese

A knowledge graph strategy for integrating clinical and experimental COVID-19 data Justin Reese

Ontologizing Health Systems Data at Scale: Making Translational Discovery a Reality Tiffany Callahan

Using SNOMED CT Relationships for Data Exploration and Discovery in Rare Diseases - An Interactive Data Visualization Tool Rachel Richesson

Drug-wide association studies of cancer using real-world health data Rachel Melamed

Node and Edge Enrichment Analysis through Bipartite Networks: Application to Gene Mutations in Breast Cancer Suresh Bhavnani

Prediction of Gestational Diabetes Mellitus in Overweight and Obese Caucasian Women using Machine Learning

Speaker(s):

Yuhan Du

PrecisionFDA Brain Cancer Predictive Modeling and Biomarker Discovery Challenge

Speaker(s):

Yuri Gusev

Modeling Alzheimer’s Disease by Combining Knowledge Extracted from Biomedical Literature with Biomedical Ontologies

Speaker(s):

Scott Malec

S31: Panel - Consortium for Clinical Characterization of COVID-19 by EHR (4CE)

Speaker(s):

Diane Keogh Griffin Weber Gabriel Brat Shawn Murphy

Decision Support to Engage Consumers in the Selection of Health Benefits

Speaker(s):

Mollie McKillop

Combining Weather and Pollution Indicators with Insurance Claims on Identifying and Predicting Asthma Prevalence and Hospitalizations

Speaker(s):

Divya Mehrish

S32: Oral Presentations - Lifelong Learning: From Undergraduate Education through Clinical Technology Adoption

Speaker(s):

Blanca Himes Laura Wiley Anita Szerszen Colin Walsh Mollie McKillop

Integrating Biomedical Informatics Training into Existing High School Curricula Blanca Himes

Communicating Results of Predictive Models to Patients Colin Walsh Mollie McKillop

Developing and Deploying a Scalable Computing Platform to Support MOOC Education in Clinical Data Science Laura Wiley

Telemedicine use among geriatric outpatients during the COVID pandemic Anita Szerszen

Health Care Ecosystem Stage - Health Care Actors’ Roles to Improve Quality with Clinical Data Exchanges

Speaker(s):

Sandi Mitchell

Uncovering the potential biological mechanisms between a chemical and a phenotype

Speaker(s):

Christopher Hawthorne

The Patient Voice in Clinical Practice: Results of Qualitative Interviews with Patients Completing Patient-Reported Outcomes

Speaker(s):

Therese Nelson

S33: Oral Presentations - COVID19 is No Match for Clinical Research Informatics

Speaker(s):

Shyam Visweswaran Zachary Strasser Tanja Magoc Christine Suver Ms. Anita Walden

Rapid Creation of a De-Identified COVID-19 Dataset for Clinical Research Tanja Magoc

A COVID-19 Application Ontology for the ACT Network Shyam Visweswaran

Association of a history of pneumonia with mortality for Coronavirus Disease 2019 (COVID-2019) Zachary Strasser

Transparency, Reproducibility, and Team Science in the National COVID Cohort Collaborative (N3C) Ms. Anita Walden Christine Suver

Creating a national COVID-19 Limited Data Set: Regulatory and governance innovations within the National COVID Cohort Collaborative (N3C) Christine Suver

The Application of Social Network Analysis for COVID-19 Nosocomial Infection Control

Speaker(s):

Mina Ostovari

Content-based Recommendation Systems to Improve Reusability of Gene Expression Omnibus Datasets

Speaker(s):

Braja Patra

S34: Oral Presentations - COVID In and Among Patients

Speaker(s):

Suresh Bhavnani Hannah Mannering Wanting Cui Mary Regina Boland Junghwan Lee

Discovering Changes in the Neonatal Intensive Care Unit Structures Before and During the COVID-19 Pandemic: A Network Analysis Hannah Mannering

Severity Prediction for COVID-19 Patients via Recurrent Neural Networks Junghwan Lee

Impact of COVID-19 Pandemic on the Use of Telemedicine in Academic Medical Center in New York City Wanting Cui

Association of Neighborhood-Level Factors and COVID-19 Infection Patterns in Philadelphia Using Spatial Regression Mary Regina Boland

Heterogeneity in COVID-19 Patients at Multiple Levels of Granularity: From Biclusters to Clinical Interventions Suresh Bhavnani

Ascertaining Chronic Condition Status from Electronic Health Records with Patient Problem Lists versus Encounter Diagnosis Records

Speaker(s):

Mr. Robert Voss

System Architecture and Design of a US Department of Veterans Affairs Hospital Information System Integrated System for Patient Safety at Care Transitions

Speaker(s):

Michele Redding

S35: Oral Presentations - FHIR Applications

Speaker(s):

Sijia Liu Andrey Soares James Jones Nansu Zong William Hammond

FHIR Used to Expedite sIRB Workflow William Hammond

A Landscape Survey of Planned SMART/HL7 Bulk FHIR Data Access API Implementations and Tools James Jones

Predicting Primary Cancers Based on HL7 Fast Healthcare Interoperability Resources (FHIR) and Resource Description Framework (RDF) Nansu Zong

Integration of NLP2FHIR Representation with Deep Learning Models for EHR Phenotyping: A Pilot Study on Obesity Datasets Sijia Liu

Interoperable and Computable Evidence-Based Medicine (EBM) on FHIR Andrey Soares

Assessing the Impact of Telepsychiatry Implementation on Polypharmacy Reduction among Youth Detainees

Speaker(s):

Humayera Islam

Comparison of Algorithms for Identifying HIV-Positive Individuals from Electronic Medical Records in a Large Multi-site Database

Speaker(s):

Jessica Ridgway

Enabling Data Liquidity for Health Data Science: Initial Experiences with a Suite of APIs for EHR Data

Speaker(s):

Ursula Rogers

S36: Oral Presentations - (Un-)Natural Language

Speaker(s):

Suranga Kasthurirathne Nicholas Dobbins Abdullah Ahmed Kirk Roberts Natthanaphop Isaradech

Performance of Automatic De-identification Across Different Note Types Nicholas Dobbins

Auto-mapping Clinical Documents to ICD-10 using SNOMED-CT Natthanaphop Isaradech

Extracting Concepts for Precision Oncology from the Biomedical Literature Kirk Roberts

Benchmarking Modern Named Entity Recognition Techniques for Free-text Health Record Deidentification Abdullah Ahmed

Generative Adversarial Networks for Creating Synthetic Free-Text Medical Data: A Proposal for Collaborative Research and Re-use of Machine Learning Models Suranga Kasthurirathne

Validating synthetic data derivatives using adapted inpatient cascade of care for Type II diabetes mellitus

Speaker(s):

Irene Ryan

Syndromic surveillance for COVID19 from Reddit using multi-platform lexicons

Speaker(s):

Abeed Sarker

S37: Ignite-style Talks - Too Long; Didn’’t Watch: AMIA Informatics Summit in 90 minutes

Speaker(s):

Kelley Paskov Victor Garcia Vivian Gainer Ellen Kerns Joyce Niland Peter Plantes Christopher Kunney Wei Shao Shawn Murphy Graciela Gonzalez

Developing and Implementing a “Digital First” Patient Journey in your Organization post COVID-19 Christopher Kunney

COVID-19 Data Commons: A Single Source of Truth Victor Garcia

Proactive Public Health Response: The power of localized data Peter Plantes

How a Zoom Forum is Changing the Way Researchers Study Covid-19 at Mass General Brigham Vivian Gainer

Sibling-pair Linkage Test Reveals Protective Autism Locus at 10q26 Kelley Paskov

Implementation of a Household Level COVID-19 Screening Tool in Schools Ellen Kerns

A comparative view of reported adverse effects of statins in social media, regulatory data, drug information databases and systematic reviews Graciela Gonzalez

A Natural Language Processing (NLP) Pipeline to Evaluate BRCA1/2 Testing in Ovarian Cancer Patients at City of Hope Cancer Center and Affiliated Community Sites Joyce Niland

Deep Multi-View Clustering (DMVC) to Characterize Chronic Cough Clusters using EHR data Wei Shao

Mobilizing the Accrual to Clinical Trials (ACT) Network for Covid-19 Research (and Beyond) Shawn Murphy

The COVID-19 DREAM Challenge: enabling continuous benchmarking of models on EHR data

Speaker(s):

Thomas Schaffter

The Informatics, Business and Logistic Challenges of Launching an Integrated Direct-to-Patient Registry During a Pandemic: The MMRF CureCloud Experience

Speaker(s):

Steven Labkoff

Design of a Clinical Decision Support Tool for Erroneously Documented Vital Signs

Speaker(s):

Connor Skeehan

S38: Panel - JAMIA as a Voice for Diversity, Equity, and Inclusion in Biomedical and Health Informatics, Health Care, and Society

Speaker(s):

Dr. Suzanne Bakken Dr. Tina Hernandez-Boussard Dr. Tiffany Veinot Dr. Matt Pantell Dr. Nir Menachemi

Query Complexity Analysis on the TriNetX Platform

Speaker(s):

Ezra Statsky-Frank

Deconvoluting Spatial Transcriptomics Data through Graph-based Artificial Intelligence

Speaker(s):

Jing Su

Identifying Bad Actors in a Direct-to-Patient COVID-19 Registry

Speaker(s):

Kevin Timms

Analysis of Racial and Socioeconomic Factors of COVID-19

Speaker(s):

Caroline Vieira Sahar Abdullah

S39: Oral Presentations - Applied Natural Language Processing

Speaker(s):

Sujay Kulshrestha Surabhi Datta Amy George Kevin Peterson Jennifer John

An Examination of the Statistical Laws of Semantic Change in Clinical Notes Kevin Peterson

Recurrent Neural Networks to Automatically Identify Rare Disease Epidemiologic Studies from PubMed Jennifer John

Applications of Aspect-based Sentiment Analysis on Psychiatric Clinical Notes to Study Suicide in Youth Amy George

Classification of Chest Injury Severity Using Clinical Documents Sujay Kulshrestha

Leveraging Spatial Information in Radiology Reports for Ischemic Stroke Phenotyping Surabhi Datta

Telemedicine Utilization Among Non-Hospitalized Patients with COVID-19

Speaker(s):

Elisabeth Scheufele

Integration between physician and nurse terminology in the care of patients with heart failure

Speaker(s):

Abdul Zakkar

S40: Oral Presentations - Overcoming Adversity

Speaker(s):

Prithwish Chakraborty Darshini Mahendran William Ogallo Rose Goueth Beau Norgeot

An Analysis of Two Sources of Cardiology Patient Data to Measure Medication Agreement Rose Goueth

MAgEC: Using Non-Homogeneous Ensemble Consensus for Predicting Drivers in Unexpected Mechanical Ventilation Beau Norgeot

Extracting Adverse Drug Events from Clinical notes Darshini Mahendran

Detection of Anomalous Patterns Associated with the Impact of Medications on 30-Day Hospital Readmission Rates in Diabetes Care William Ogallo

Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge Prithwish Chakraborty

OSPred – A Digital Health Aid for Rapid Analysis of Early Endpoints (PFS, ORR) and Overall Survival (OS) Correlates in Non-Small Cell Lung Cancer (NSCLC) Clinical Trials

Speaker(s):

Youyi Zhang

Age Aware Model of Phenotype Risk Score

Speaker(s):

Layla Aref

S41: Oral Presentations - Informatics Applications, Architecture, and Methodology for Public Health and Global Health

Speaker(s):

Byron Wallace Shamsi Berry Jesutofunmi Omiye Ifrah Idrees Girmaw Tadesse

Effect of Reopening Orders on COVID-19 Hospitalizations in the US Jesutofunmi Omiye

Generating (Factual?) Narrative Summaries of RCTs: Experiments with Neural Multi-Document Summarization Byron Wallace

Successes and Misses of Global Health Development: Detecting Temporal Concept Drift of Under-5 Mortality Prediction Models with Bias Scan Ifrah Idrees

Refined, regionally-specific data standards reveal heterogeneity in Hispanic death records Shamsi Berry

Data-level Linkage of Multiple Surveys for Improved Understanding of Global Health Challenges Girmaw Tadesse

A Natural Language Processing Pipeline for the De-identification of Clinical Notes at an Academic Medical Center

Speaker(s):

Arnav Bhandari

Schematic Design of a Veterans Health Information Exchange Performance Reporting Platform

Speaker(s):

Nathan Botts

S42: Panel - Health Information Technology Interoperability Standards to Advance the Precision Medicine Initiative

Speaker(s):

Teresa Zayas Cabán Tracy Okubo Robert Freimuth Ida Sim Stephanie Devaney

Ranking-based Convolutional Neural Network Models for Peptide-MHC Binding Prediction

Speaker(s):

Xia Ning

Knowledge Management of Clinical Pharmacogenetic Information – Complexities and Challenges

Speaker(s):

Christine Cheng

Open Integrated Analysis of Multi-institutional Data using ICEES

Speaker(s):

Karamarie Fecho

S43: Panel - Virtually Ready: Technological Tools and Adaptations in a Children’s Hospital during the COVID-19 Pandemic

Speaker(s):

Tiranun Rungvivatjarus Amy Chong Cynthia Kuelbs Mario Bialostozky Jeannie Huang Begem Lee

Disparities in patient portal enrollment and telehealth among oncology patients

Speaker(s):

Meera Garriga

Consult Tracking Management Solution and Scheduler Workflow Metrics in the U.S. Department of Veterans Affairs

Speaker(s):

Dr. David LaBorde

S44: Panel - FHIR in the Research Continuum: The emerging Vulcan FHIR Accelerator

Speaker(s):

Micky Tripathi Viet Nguyen Christopher Chute Clement McDonald Charles Jaffe Josh Mandel

From Traditional Anonymization to State-of-the-Art Privacy Protection - Overview of Features of the ARX Data Anonymization Tool

Speaker(s):

Fabian Prasser

Perioperative Workflow Management System and Improvement in First Case On-Time Start Rates in the U.S. Department of Veterans Affairs

Speaker(s):

Mrs. Amy Green

Evaluation of Data Management of COVID-19 Clinical Trials Using a Cloud-Based Clinical Data-Management Platform

Speaker(s):

Rezzan Hekmat

S45: Panel - Using Synthetic Data to Enhance Antimicrobial Use Data Quality within the National Healthcare Safety Network

Speaker(s):

Senthil Nachimuthu Wendy Wise Joseph Chuong Shuai Zheng Jay Kim

What can online Ovarian Cancer Forum present us about patients’ information needs? - A Text-Mining Approach

Speaker(s):

Chi Ching Hui

Development of a Graph Model for the OMOP Common Data Model

Speaker(s):

Mengjia Kang

S46: Panel - Machine Learning to improve care delivery: Opportunities and Challenges

Speaker(s):

Hongfang Liu Nigam Shah Jyotishman Pathak Kavishwar Wagholikar Shawn Murphy

Toward a Neural Semantic Parsing System for EHR Question Answering

Speaker(s):

Kirk Roberts

S47: Panel - Accelerating an Application Programing Interface-based Ecosystem with Real-World Use Cases

Speaker(s):

Kevin Chaney Anjum Khurshid Kenneth Mandl Kristen Miller Dr. Mohammad Jafari

S48: Panel - Challenges and Opportunities for Implementing Artificial Intelligence at the Speed of Technology Innovation During the COVID-19 Era

Speaker(s):

Michael Matheny Yuri Quintana Brett South Irene Dankwa-Mullan Wendy Chapman

S49: Oral Presentations - The CRI Trifecta: Data Quality, Data Models, and Clinical Trials

Speaker(s):

Hao Liu Franck Diaz-Garelli Zhe He Vojtech Huser

The Impact of Data Availability on Algorithmic Diabetes Type Detection using Electronic Health Records: The SEARCH for Diabetes in Youth Study Franck Diaz-Garelli

ctGATE: A Clinical Trial Generalizability Assessment Toolbox Zhe He

Data Characterization of Medicaid: Legacy and New Data Formats in the CMS Virtual Research Data Center Vojtech Huser

A Comparison between Human and NLP-based Annotation of Clinical Trial Eligibility Criteria Text Using The OMOP Common Data Model Hao Liu

CONSIDER Statement: Consolidated Recommendations for Sharing Individual Participant Data from Human Clinical Studies Vojtech Huser

S50: Oral Presentations - Timing is Everything

Speaker(s):

Lindsay Zimmerman David Chen Christina Ji Abu Mosa Nrupen Bhavsar

Application of a Novel Sequential Pattern Mining Method to Study Longitudinal Social Determinants of Health through Young Adulthood: The CARDIA Study Lindsay Zimmerman

Machine Learning Approaches for Predicting Diabetes-Related Long-Term Complications Using Real-World EHR Data Abu Mosa

Trajectory Inspection: A Method for Iterative Clinician-Driven Design of Reinforcement Learning Studies Christina Ji

Impact of variable look-back period length on cardiovascular outcomes when using electronic health record data for epidemiologic research Nrupen Bhavsar

Early Detection of Post-Surgical Complications using Time-series Electronic Health Records David Chen

S51: Oral Presentations - Machine Learning for Improving Patient Care

Speaker(s):

Xiao Dong Julian Hong Sean Yu Rohith Kumar Thiruvalluru Dr. Joao Bettencourt-Silva

Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions Dr. Joao Bettencourt-Silva

Developing High Performance Secure Multi-Party Computation Protocols in Healthcare: A Case Study of Patient Risk Stratification Xiao Dong

Comparing Suicide Risk Insights derived from Clinical and Social Media data Rohith Kumar Thiruvalluru

System for High Intensity EvaLuation During Radiation Therapy (SHIELD-RT): A prospective randomized study of machine learning-directed clinical evaluations during outpatient cancer radiation and chemoradiation Julian Hong

Sepsis Prediction in the General Ward Setting Sean Yu

Leveraging Free-text Clinical Notes for Accurate Diagnostic Decision Support Using Pre-trained Language Representation Models

Speaker(s):

Rui Tang

S52: Panel - Precision Medicine facilitated through Registry Science: The Challenges and Solutions Associated with Constructing a Nationally-focused Registries by Aggregating a Multi-faceted Patient-focused Datasets

Speaker(s):

Steven Labkoff Leon Rozenblit Claudio Faria Kathleen Hewitt

S53: Panel - Pandemic Informatics: Tuning Expectations of Real World Data ? Lessons Learned from the National COVID Cohort Collaborative (N3C)

Speaker(s):

Matvey Palchuk Michele Morris Robert Miller Emily Pfaff Kristin Kostka

Automatic Gender Detection on Twitter for Health-related Cohort Studies

Speaker(s):

Yuan-Chi Yang

Closing Session and Keynote Presentation: Abigail Echo-Hawk, MA

Speaker(s):

Mr. Oliver Bear Don't Walk IV Samuel Volchenboum Abigail Echo-Hawk Caitlin Keller

Chronicles of Nationwide Health Information Exchange (HIE) Told through Data Profiling of the Veterans HIE Audit Log

Speaker(s):

Eric Pan

Assessing Organizational Context for Implementation

Speaker(s):

Jennifer Garvin

Semi-Automated Corpus Augmentation Methods for Enriching Laboratory Test Names with Value Annotations

Speaker(s):

Paul Heider

Data-Specific Training for Detecting Reports of Medication Intake on Twitter

Speaker(s):

Ari Klein

Compound Prioritization via Ranking and Graph Representation Learning

Speaker(s):

Xia Ning

Communication Efficient Distributed Tensor Factorization based on Local SGD for Collaborative Health Data Analysis

Speaker(s):

Zhangyi Pan

Development and Alpha Testing of Specifications for a VTE/Major Bleeding Electronic Clinical Quality Measure (eCQM)

Speaker(s):

Avery Pullman