Handouts/Pre-Recorded Virtual Conference

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Session Title	Handouts
AI Maturity in Health Care
AMIA KDDM Working Group Collaborative Workshop: Enriching Electronic Health Records with Social Determinants of Health to Improve Outcomes and Health Equity
How to build effective data dashboards for community decision-making: Lessons learned and best practices from community opioid response
Opening Session and Keynote Address: The Informatics of Causal Inference from Healthcare Data
CLASSify: A Web-Based Tool for Machine Learning
Interpretability Study for Long Interview Transcripts from Behavior Intervention Sessions for Family Caregivers of Dementia Patients
Through the Looking-Glass: Healthcare data quality and artificial intelligence – an interactive panel
Voice-Enabled Response Analysis Agent (VERAA): Leveraging Large Language Models to Map Voice Responses in SDoH Survey
Effects of Added Emphasis and Pause in Audio Delivery of Health Information
Towards Predicting Smoking Events for Just-in-time Interventions
An Explainable Artificial Intelligence-enabled ECG Framework for the Prediction of Subclinical Coronary Atherosclerosis
Knowledge Engineering of Lexicon Resources of Food and Housing Insecurity from Multi-source Evidence
Linking Cancer Clinical Trials to their Result Publications
GATEHR: representation learning on electronic health records using pedigree-based graph attention networks
Gender Confounding Effects in Dementia Detection with BERT
Predicting the Disposition of Patients Undergoing Primary Total Hip and Total Knee Arthroplasty Using Machine Learning
The Social Determinants of Health of Healthy Aging: An Investigation Using the All of Us Cohort
Connecting With Peers: Examining Sentiment Change of Informal Caregivers for People With Alzheimer’’s Disease or Related Dementias in Two Online Communities
Automated HIV Case Identification from the MIMIC-IV Database
Generative AI and Deep Learning in Health: Clinical, Technical and Ethical Considerations
Pre-test Prediction of Non-ischemic Cardiomyopathies using Time-Series EHR Data
Text and Audio Simplification: Human vs. ChatGPT
Identifying and Characterizing the Transgender and Nonbinary Population Presenting to Pediatric Psychiatry Emergency Services
Leveraging GPT-4 for Identifying Clinical Phenotypes in Electronic Health Records
Low-Cost Histopathological Mitosis Detection for Microscope-acquired Images
AI Chatbot Influence on Medical Decision-Making, Bias, and Equity: A Randomized Study of Clinicians Evaluating Clinical Vignettes
Comparison of Three Deep Learning Models in Accurate Classification of 770 Dermoscopy Skin Lesion Images
Healthcare Utilization is an Important Methodological Consideration for EHR-based Association Analyses
Enrichment Analysis and Unsupervised Clustering of Electronic Health Records Reveals Endometriosis Patient Subpopulations
Evaluation of GPT-3 for Anti-Cancer Drug Sensitivity Prediction
Uncertainty-Aware Deep Learning Differentiates Cancers of the Central Nervous System -- A Multi-Center Study
Assessing Clinical Acuity in the Emergency Department Using the GPT-3.5 Artificial Intelligence Model
Hardware-Software Co-Design Enables High-Resolution Machine Learning for Gigapixel Pathology Image Evaluation
Predicting Patient-Level Risk Associated with ECMO Utilizing the N3C Data Set
Diverse diagnoses associated with spontaneous and indicated preterm birth in an electronic health record cohort
Improving Digital Pathology Pipelines using Shapley-based Data Debugging
RescueGPT: Recognition, Extraction, Surveillance, and Conceptualization Using Emergency Medical Service Notes with a Zero-Shot Approach with Large Language Models -- A Pilot Study
A Multi-Institutional Data Quality Initiative to Enhance Federated Research Networks using the National ENACT Network
Exploring the potential of random survival forest in providing reliable predictors driving pancreas re-transplant graft survival in a very small dataset: a simulation study
Implementation of a Risk Prediction Model for Postpartum Depression in the Electronic Health Records
IMPreSIv: Infant Mortality Prediction System with Intervention using Machine Learning and Electronic Health Record Data
ML-Based CDS Tool for Diagnosis of Hypertrophic Cardiomyopathy in Cardiovascular Medicine
Real-Time Automated Billing for Tobacco Treatment: Developing and Validating A Scalable Machine Learning Approach
Topology-based Clustering of Functional Brain Networks in an Alzheimer’’s Disease Cohort
A Traumatic Brain Injury Prescreening Tool for Intimate Partner Violence Patients Using Initial Clinical Reports and Machine Learning
Comparative Analysis of Fusion Strategies for Imaging and Non-imaging Data - Use-case of Hospital Discharge Prediction
Clean noisy training labels with inductive conformal prediction in multi-modal biomedical data mining
Cluster Analysis of Cortical Amyloid Burden for Identifying Imaging-driven Subtypes in Mild Cognitive Impairment
Environmental Health Informatics
Identify Repurposing Drugs with Reversal Gene Expression via Targeting Glioblastoma Expression Profile
Multivariate mediation analysis with voxel-based morphometry revealed the neurodegeneration pathways from genetic variants to Alzheimer’s Disease
A Multi-Modal Geomarker Pipeline for Assessing the Impact of Social, Economic, and Environmental Factors on Pediatric Hospitalization
An Exploration of Minimally Stable Feature Set Discovery by Consensus-based Feature Selection Approach for Early Detection of Amyotrophic Lateral Sclerosis
Prognostic Cachexia Sub-phenotypes in Weight Loss Severity Trajectories
Association of Diagnostic Discrepancy with Length of Stay and Mortality in Congestive Heart Failure Patients Admitted to the Emergency Department
Deep Learning Approaches to Predict Exercise Exertion Levels Using Wearable Physiological Data
Learngle: Analytics Dashboard and Stripe Integration of a Study Resource for the Clinical Informatics Board Exam
Learning Phenotypic Associations for Parkinson’’s Disease with Longitudinal Clinical Records
Risk Modeling Without Increasing Risk
Automatic Population of the Case Report Forms for an International Multifactorial Adaptive Platform Trial Amid the COVID-19 Pandemic
Cross-phenotype associations between Alzheimer’’s Disease and its comorbidities may provide clues to progression
Development of a Study Protocol for Evaluation of a Novel Measure to Incorporate Information Freshness into Network Analysis of Online Resources for COVID-19
Readying AI-Based CONCERN Early Warning System for Multi-Site Deployments
Clarifying Chronic Obstructive Pulmonary Disease Genetic Associations Observed in Biobanks via Mediation Analysis of Smoking
Compulsory Indications in Hospital Prescribing Software Tested with Antibacterial Prescriptions
Development, Deployment, and Refinement of an Adaptive Digital Safety Net at a Children’s Hospital
The Role of Augmented Reality in Advancing Medical Training Techniques: A Study on Cricothyroidotomy
Age-related Modifications in Inter-tissue Coordinated Gene-expression Patterns
Comparison Between Patient Self-Reported Symptoms and Structured Physician Documentation at Primary Care Visits
VisualSphere: a Web-based Interactive Visualization System for Clinical Research Data
A Novel Explainable AI Method to Assess the Association between Temporal Patterns in Cardiorespiratory Fitness and ADRD Risks
Intracerebral Hemorrhage Segmentation: Leveraging Foundation Models for Specific Clinical Needs
Synthetic Cohort Data Generation in the All of Us Research Program
A Roadmap for Improving Telemedicine Support Operations
Transatlantic Phenotype Alignment for Post Acute Sequelae of SARS-CoV-2 (PASC): Mapping Challenges Across ICD10 and SNOMED Vocabularies
A Human-Centric Approach for Self-Service Analytics of Longitudinal Health Data
A Natural Language Processing Framework for the Retrospective Identification of Surgical Site Infections
A Survey of Clinical Algorithms with Race
A Text-Mining Model for Extracting Phenotypes from NF1 Clinical Notes
Addressing NC Children’s Mental Health Disparity with a Virtual Community House
Alternate Approaches to ICD-10CM Feature Reduction Variably Predict Pediatric Neurofibromatosis Type 1 Sub-Phenotypes
Analysis of Online Health Information Resource Networks at Multiple Levels of Semantic Granularities: A Case Study for COVID-19 Treatment
Assessing the Utility of the NCCN Distress Thermometer in Predicting Future Mental Health Diagnoses in Patients with Cancer
Automated Monitoring and Evaluation of a Clinical Decision Support Tool: Application to an Inpatient Early Warning Score
Automatically Evaluating LLM-Generated Text in the Medical Domain
Capturing Novel Research Assays in a Common Data Model to Support Clinical Decision Support Tools
Characterizing Disclosures of Sexual Trauma in the Electronic Health Record Using Care Site Data and Natural Language Processing
Classification of Ejection Fraction Values Using Large Language Models
Comparing Colorectal Cancer Diagnosis Ascertainment Methods in the Million Veteran Program
Comparing Prevalence of Adverse Drug Events Identified in Structured EHR Data to Clinical Trial Benchmark
Conditions for Enhanced Rare Event Prediction with Multi-Label Learning
Cost-effectiveness of Telemedicine: An analysis of telehealth visits in New York State from March 2020 to March 2021
Cybersecurity in Disaster Telehealth: The National Emergency Tele-Critical Care Network (NETCCN) Experience
Data Governance for Sharing and Access to Real-World Data at University of Iowa Healthcare, a Case Study
Derivation and validation of a rule-based small cell masking tool for privacy protection in aggregated tabular reports
Detecting Multimorbidity Patterns with Association Rule Mining in Patients with Alzheimer’s Disease and Related Dementias
Develop a PCC surveillance database for tracking post-COVID-19 conditions by Microsoft Access
Developing Informatics Capacity for COVID-19 Surveillance in a National Research Network
Developing Prompts from Large Language Model for Extracting Clinical Information from Pathology and Ultrasound Reports in Breast Cancer
Development & Validation of ML Model to Predict Death Upon Admission
Development of A Gene-List Capable of Stratifying Mixed Aetiology Cardiomyopathy by Risk of Heart Failure Progression in Blood and Tissue Based Datasets
Development of an Adaptable Cost-Analysis Tool to Support the Implementation of the CONCERN Early Warning System
DrugWAS X PheWAS: A pharmacoepidemiologic framework to investigate the effect of drug exposure during pregnancy on pediatric outcomes
Early Alerts, Timely Actions: Evaluating the Impact of the CONCERN Early Warning System on Reducing Sepsis Risk
Early and Adequate Antibiotic Therapy in Hospital-Onset Sepsis: A Target Trial Emulation Applying Machine Learning on Real-World Data
EchoGPT: Extracting Echocardiogram Entities using Large Language Models
Enhancing Suicide Risk Detection in EHRs: Leveraging Large Language Models to Identify Explicit and Implicit Suicidal Indications
Evaluating ChatGPT as an Adjunct for Clinical Data Extraction
Evaluating Temporal Characterization of EHR in BERT-based Model Architectures to Predict Multi-morbidity in Diabetes Patients
Evaluating the effect of frame rate in sequence-based classification of autism-related self-stimulatory hand idiosyncrasies
Evolution of Phenotype Algorithms: A Case Study with Type 2 Diabetes
Exploring GPT Prompt Engineering to Produce Structured Outputs
Fairness-Aware Integral Regression (FAIReg) for Trustworthy Machine Learning in Healthcare
Generating and Validating a Multi-Health System Pipeline to Obtain Social Drivers of Health Data
Generating Simpler Medical Synonyms Using Word Embeddings
Going Beyond the Technology: Considerations in Translating Case Report Forms
GRU-D-Weibull: A Novel Real-Time Individualized Endpoint Prediction
Harnessing consumer wearable digital biomarkers for individualized recognition of postpartum depression within the All of Us Research Program
Identifying Psychosis Episodes in Admission Notes: A Comparative Study of Rule-based Methods, Machine Learning Algorithms, and Pre-Trained Language Models
Improving Discharge and Contingency Planning Using AI-Generated Feedback
Improving Large Language Model Performance on Domain-Specific Responses Utilizing Embeddings
Incorporating Stakeholder Input in the Development of a Health Disparities Data Exploration Tool in a Pediatric Hospital Setting
Informative Sampling to Enhance Clinical Chart Review Representativeness
Ink: Non-repudiation for Large Language Models (LLMs) in Healthcare
Language models, Explain these Clinical Trials to me as if I am a Sixth Grader!
Large Language Models and Biomedical Annotators to Extract Information from Scientific Literature in Inflammatory Bowel Disease
Longer and Greater Clinician Absenteeism Prolongs Patient Length of Stay Across a Simulated Network of Emergency Departments
Machine Learning Approaches to Investigate Association Between Overall Survival and Comorbidity and Concurrent Medications Use in Senior Prostate Cancer Patients
Network Graph Solutions for Data Pipeline Diagnostics
OncQA: A Clinical Question-answering Benchmark for Oncology
One Model Fits All? High-performing Multi-task Model of Urinary Tract Dilation (UTD) Classification Using NLP for Neonatal Ultrasound Reports
Opioid and Antimicrobial Prescription Patterns During Emergency Medicine Encounters Among Uninsured Patients
Patient2Trial: A Knowledge Guided Large Language Model-based System for Matching Patients to Clinical Trials
Pediatric Site Response to the Rapid Implementation of Decentralized Clinical Trials
Precision phenotyping of schizophrenia in an EHR-linked biobank
Predicting Organ Rejections for Pediatric Heart Transplantations with a Combined Use of Transplant Registry Data and Electronic Health Records
Prediction and uncertainty quantification of medical diagnosis through neural machine translation of clinical procedure codes
Prediction of Triple Vessels Disease using Fundus Photography and Clinical Risk Factors: A Prospective Cohort Study
PrEP Prescribing and Adherence Patterns among Persons on Medicaid in Chicago, Illinois
Quantifying Diagnostic Uncertainty in Sepsis: Towards Real-Time Clinical Decision Support
Real World Evidence of Cardiotoxicity: Breast Cancer Oncology Regimens
Retrospective evaluation of QTc Drug-Drug interaction (DDI) Clinical Decision Support (CDS) alerts and Tisdale risk score calculator utilization in the inpatient setting at Brigham and Women’s Hospital (BWH)
Role of Dependency Distance in Text Simplification: A Human vs ChatGPT Simplification Comparison
Slow worsening toward acute cardiovascular diseases in patients with lifestyle-related diseases: Longitudinal study using a large clinical database at Kochi Medical School Hospital
Socio-economic Disparities in Infection-related Hospitalizations among the U.S. Home Health Care Population: Insights from a National Study
Symptom Trajectories Prior to Out of Hospital Cardiac Arrest – Insights from Natural Language Processing
Telemedicine in Peru: An examination of service disparities during the COVID-19 pandemics
The Atlas of Protein-Protein Interactions in Cancer
The Impact of Spiritual Care on Comfort in Older Adults with Chronic Illnesses: An Event Study Design
Unlocking the Potential of Synthetic Data: A Critical Examination of its Role in Real-World Healthcare Research
Use of Large Language Models to Automate the Risk-Stratified Screening Colonoscopy Interval Determination
Using Natural Language Processing for Data Harmonization: Comparing Large Language Models and Fuzzy Matching Approaches
Utilizing Decision Tree Model for Streamlined Cognitive Evaluation in Aging Populations with NIH Toolbox Assessments
Variability of Correlation Structures of Synthetic Data in Machine Learning Algorithms
Wise Instance Selection Algorithms Help Reduce Annotation Work in Multi-Task Multi-Class Urinary Tract Dilation Prediction
An Early Look at Real World Implementations Using the 21st Century Cures Act Population FHIR API
Exploring Large Language Models for Acronym, Symbol Sense Disambiguation, and Semantic Similarity and Relatedness Assessment
FAIR privacy-preserving operation of large genomic variant calling format (VCF) data without download or installation
Improving Automating Quality Control in Radiology: Leveraging Large Language Models to Extract Correlative Findings in Radiology and Operative Reports
Prioritizing Clinically Significant Lung Cancer Somatic Mutations for Targeted Therapy Through Efficient NGS Data Filtering System
Large Language Models for Efficient Medical Information Extraction
SABER: Statistical Identification of Loci of Interest in GWAS Summary Statistics using a Bayesian Gaussian Mixture Model
CGG Short Tandem Repeat Expansions are Overrepresented in Neurodevelopmental Disorders
Improving Clinical NLP Performance through Language Model-Generated Synthetic Clinical Data
LLMs for Precision Psychiatry: A Preliminary Evaluation of Large Language Models for Automated Extraction of OPCRIT Symptom Rating
Concordance between Self-Reported and Prescribed Medications in UKBiobank
Leveraging GPT models to intuitively structure free-text clinical notes
FHIRing up OpenMRS: Architecture, Implementation and Real-World Use-Cases in Global Health
Investigating Cross-Domain Binary Relation Classification in Clinical Natural Language Processing
PFERM: A Fair Empirical Risk Minimization Approach with Prior Knowledge
Investments in the Real-World Data Ecosystem: The NCI RWD Program?s Goals to Improve Data Quality, Research Methods, and Patient Outcomes
Developing a Reusable Clinical Decision Support System Module for Immunization Recommendations: a Case Study with OpenEMR and OpenMRS
Measuring and Reducing Racial Bias in a Pediatric Urinary Tract Infection Model
Pragmatic De-Identification of Cross-Domain Unstructured Documents: A Utility-Preserving Approach with Relation Extraction Filtering
A Study of Biomedical Relation Extraction Using GPT Models
FERI: A Multitask-based Fairness Achieving Algorithm with Applications to Fair Organ Transplantation
Development of a Common Longitudinal Intensive Format (CLIF) to Streamline Multi-center Clinical Research in Critically Ill Patients
Discovering Intersectional Sociodemographic Risk of Child Maltreatment during Child Welfare Using Competing Event Machine Learning Models
Ensemble pretrained language models to extract biomedical knowledge from literature
Enhancing Health Data Interoperability with Large Language Models: A FHIR Study
Fine-tuning a Hierarchical Attention Based BiLSTM-CRF Model Using Minimal Labeled Data
Identifying Referral Candidates for Community Health Worker Interventions by Using Electronic Health Records and Machine Learning
Developing an Accurate and Racially Unbiased Risk-based Model to Determine Lung Cancer Screening Eligibility among White and African American Smokers
LitCoin: Changing the Currency of Scientific Research
Practical OMOP: Daily Updates Leveraging the Epic EHR’’s Native Tools
Automating Clinical Trial Matches Via Natural Language Processing of Synthetic Electronic Health Records and Clinical Trial Eligibility Criteria
Best of Both Worlds: Bridging One Model for All and Group-Specific Model Approaches using Ensemble-based Subpopulation Modeling
Mechanisms for Integrating Real Data into Search Game Simulations: An Application to Winter Health Service Pressures and Preventative Policies
Assessing the Barriers and Facilitators to Pulmonary Rehabilitation Referrals Using the Consolidated Framework for Implementation Research (CFIR)
Automated Information Extraction from Thyroid Operation Narrative: A Comparative Study of GPT-4 and fine-tuned KoELECTRA
Development and Validation of a Smartphone App for Automated Knee Range of Motion Measurement in a Clinical Setting
Detecting Cerebral Ischemia from Electroencephalography During Carotid Endarterectomy Using Machine Learning
Extraction of Chemotherapy Treatment Timelines from EHR Notes and Temporal Modeling of Cancer Treatment in Adult and Pediatric Patients
Machine Learning for Equitable Prediction of Opioid Use Disorder: A Bias Mitigation Algorithm Towards Accurate and Fair Outcomes
A Survey on the Utilization of Online Peer Support Among Informal Dementia Caregivers
AMIA Panel on AI in Healthcare - Towards Responsible AI in Healthcare
An Explainable Machine Learning Framework to Predict Opioid Use Disorder Treatment Discontinuation and Stratify Patients into Risk Subgroups: Retrospective Study on MarketScan Commercial Claims Data
Logical Form Translation for Clinical Trial Eligibility Criteria using Large Language Models
DeepPhe-CR: Natural Language Processing Software Services for Cancer Registrar Case Abstraction
Timely Follow-Up on Abnormal Mammography Results: Design and Development of a Novel Electronic Clinical Quality Measure (eCQM)
Comparison of Manual and Automated Cutaneous T-cell Lymphoma Chart Review via NLP
Evaluation of the Federal Communications Commission Rural Health Care Program’’s Impacts on Broadband Infrastructures and Telehealth Utilization in Rural Health Clinics
Travel Distance as a Potential Impediment to Clinical Trial Participation: a GIS Analysis of New England NCI-Designated Centers
A Comparison of Google and ChatGPT for Automatic Generation of Health-related Multiple-choice Questions
A Software Ecosystem for FAIR Deep Learning in Digital Pathology
Accelerating Precision Medicine Through Integration of Medical and Veterinary Electronic Health Record Data
Advancing Pharmacovigilance through Health System Collaborations: A Real-World Example of Methods for Supporting External Validation
An efficient Python PheWAS tool for analysis on large-scale biobank data
An Explainable Risk Prediction Model for Hospital-Wide Mortality (HWM) Leveraging OHDSI and XGBoost
Analyzing Age-Related Differences in Glioblastoma Disease Trajectories Through Dynamic Time Warping of Electronic Health Record Data
Approaches to Data Quality Improvement in the Development of a Data Bank for Emerging and Re-emerging Infectious Diseases
Architectural Considerations for a One Health Informatics Ecosystem
Assessing the Impact of Activity Levels on Weight Change in Individuals with Obesity: Addressing Analytic Challenges in User Tracking Data
Assessing the Performance of Large Language Models in Identifying Hormonal Therapy Medication Consumption from Online Discussions
Assessment of Data Quality in the EHR – Discrete Data Missingness of Pancreatic and Breast Cancer Patients in UC Health’s EHR
Beyond off-the-shelf Machine Learning: case for clinician-in-the-loop
Cloud Based Interactive Chatbot Solution to Increase Post Delivery Outreach
Design and Validation of Machine Learning Models Utilizing Pre- and Intra-operative EHR Data to Predict Postoperative Delirium
Designing a Consumer-centric Care Management Program by Prioritizing Interventions Using Deep Learning Causal Inference
Developing and Simulating a Clinical Machine Learning Model to Predict Acute Kidney Injury (AKI) in NICU Patients
Driving Precision of Pediatric VTE Risk-stratification through Genetics
Effects of De-identification on Named Entity Recognition of Emergency Department Reports
Enabling efficient data management through FAIR principles in clinical studies
Enhancing COACH for Effective Hypertension Management: Executing Implementation and Deployment Strategies
Evaluating AI Reporting Guideline Adherence of Medical AI Research Using Large Language Model-based Systems
Facilitators and Barriers to Implementation of EMPOWER mobile app for diabetes self-management
Figma-Powered Dashboard Prototype for Hearing Aid Device Comparison
Fostering communication between parents and clinicians using behavioral visualizations of children with autism
Genetic Variant Data - Min(d)ing the Freetext Gap
Identification of Clinical Features for Predicting Prolonged ICU Stay for Pneumonia Patients
Identification of Ventilator-Associated Pneumonia: A Comparison of ICD Codes and Physician Review
Improving the Financial Sustainability of Telemedicine by Addressing Peritelehealth Administrative Tasks
Incorporating Natural Language Processing (NLP) into the EMERSE Information Retrieval System
Institutional Characteristics Associated with Sharing and Accessing Electronic Health Record Data Centralized by the National COVID Cohort Collaborative (N3C) for COVID-19 Research
Is Your Mapping of Medications to a Standard Terminology Correct?
Large Language Model-based Natural Language Processing to Extract PD-L1 Expression from Clinical Notes
Large Language Models for Translating Clinical Trial Eligibility Criteria into Structured Data
Lessons Learned from Implementing Genomic Indicators at Learning Health System Hospital
Linking EHR Prescribing Data with Pharmacy Dispensing Records: A Method to Reduce Misclassification in Pediatric Antidepressant Prescriptions
Linking Home Environments and Health through Computer Vision
Monitoring Generative AI Solutions For Corrective Action
MyChart Messaging: Patient Expectations for Providers
Optimal Duration for Steroid Therapy in Inflammatory Bowel Disease: A Causal Analysis using the UK Biobank
Performance Trade-Offs for the Safe Sharing of a Fully De-Identified SVM Model for Child Abuse and Neglect
Predicting Recurrence of Low-Grade Glioma – A Deep Learning Approach
Quantifying digital health documentation in real-world clinical care
Reporting Implementation Strategies and their Alignment with Implementation Science Outcomes in the Release of a Technology to Facilitate Multidisciplinary, Family-Centered Rounding
Repurposing Clinical De-Identification Software for Source Code Repositories
The AnVIL Clinical Resource: Bringing Tools for Genomic-Based Clinical Research Data to the NIH Cloud
Three Decades of Federal Regulations: Impact on the RWD Infrastructure, Challenges and Current Opportunities
THRESHOLD: A Comprehensive Transcriptomic Analysis Tool for Evaluating Gene Saturation and Impact in Disease Progression
Trustworthy Artificial Intelligence in Patient-Centered Outcomes Research
Unsupervised Natural Language Processing to Identify Topics in Cancer Center Patient Portal Messages
Unveiling Patterns and Insights in Multiple Myeloma Studies: A Large Language Model Approach to Clinical Trial Analysis
VIOLIN In 2024: 15 Years of Vaccine Resource Development
Visualizing Computable Phenotypes
Efficient Training Corpus Retrieval for Large Language Model Fine Tuning
Beyond Compliance: An API for EHI Export Under 21st Century Cures
Local Large Language Models for Complex Structured Tasks
On Federated Development and Deployment of Post-Market Active Surveillance for Medical Device Safety: A Discussion on Opportunities and Challenges
Pathophysiological Features in Electronic Medical Records Sustain Model Performance under Temporal Dataset Shift
ChatGPT and Vaccine Hesitancy: A Comparison of English, Spanish, and French Responses Using a Validated Scale
Counterfactual Sepsis Outcome Prediction Under Dynamic and Time-Varying Treatment Regimes
Cumulus: Bridging Biosurveillance and the Care Delivery System at National Scale
Automated Family Histories Significantly Improve Risk Prediction in an EHR
Serverless i2b2 Architecture on AWS & Snowflake: Beyond Simplified Deployment for Multi-Institutional Clinical Research Data Queries
Utilizing Large Language Models to Increase the Performance of Classification Neural Networks
Comparison of Prompt Engineering and Fine-Tuning Strategies in Large Language Models in the Classification of Clinical Notes
Genome-wide DNA methylation profiling and identification of potential pan-cancer and tumor-specific biomarkers
Crowdsourcing with Enhanced Data Quality Assurance: An Efficient Approach to Mitigate Resource Scarcity Challenges in Training Large Language Models for Healthcare
Using Structured and Unstructured EHR Features to Quantify Delayed Diagnosis of Venous Thromboembolism (VTE) in Primary Care: a Multi-Site Study
David (LLaMA) takes on Goliath (GPT-4) in an NLP Task of Extracting Adverse Drug Reactions from DailyMed
Using external data to estimate the observability of an outcome in a target EHR dataset
Aiming for Relevance
Computational Phenotyping and Software Engineering: You Say You Love Me, But You Never Call
Enabling Semantic Topic Modeling on Twitter Using MetaMap
Using Discrete Event Simulation to Design and Assess an AI-aided Workflow for Same-day Diagnostic Testing of Women Undergoing Breast Screening
Clinical Note Structural Knowledge Improves Word Sense Disambiguation
Electronic Phenotyping of Urinary Tract Infections as a Silver Standard Label for Machine Learning
Selection and Implementation of Virtual Scribe Solutions to Reduce Documentation Burden: A Mixed Methods Pilot
An Automated Approach for Identifying Erroneous IS-A Relations in SNOMED CT
Enhancing Clinical Predictive Modeling through Model Complexity-Driven Class Proportion Tuning for Class Imbalanced Data: An Empirical Study on Opioid Overdose Prediction
Classifying Concepts in Clinical Notes for Patient Relevance
Using Systems Dynamics Modeling to Engage Developers and Users to Understand the Acceptability of a Clinical Decision Support Tool
Clinical Significance of Marital Status and Changes in Status Extracted from Unstructured Clinical Notes
Development of an Electronic Clinical Quality Measure (eCQM) to Report Timely Follow-up on Abnormal Stool-based Tests for Colorectal Cancer Screening: An Environmental Scan
Predictive Modeling of Surgical Site Infections: Integrating Machine Learning Structured Clinical Data Attributes with EHR Clinical Notes
Automated Extraction of Key Fibroid Characteristics from Free-text Pelvic Ultrasound Reports using Rule-based Natural Language Processing
Nurse Satisfaction with Machine Learning Derived Clinical Decision Support System Explanations: Examining the Influence of Design Features
Prospective Performance and Clinical Burden Analysis of the Deterioration Risk Index
Closing Session and Keynote Address: AI-driven Risk Assessment Models: from Algorithms to Clinical Translation

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Handouts/Pre-Recorded Virtual Conference

Handouts/Pre-Recorded Virtual Conference