Informatics/Digital Epidemiology

((C-109)) (C-109) Out of Site, Out of Mind? How Tokenized Linkage Activates Patient Observations across Multiple Real-World Data Sources - the Komodo Research Dataset Example

((C-110)) (C-110) PEPRVision: A Data Insight Engine for Pharmacoepidemiology

((C-111)) (C-111) Minimizing racial algorithmic bias when predicting electronic health record data completeness

((C-112)) (C-112) Alignment Between Multiple Myeloma Line of Treatment Algorithms Developed for Structured Healthcare Data and an Oncology EHR

((C-113)) (C-113) Use of sodium valproate and other antiseizure drug treatments in England and Wales: quantitative analysis of nationwide linked electronic health records

((C-114)) (C-114) Enhancing Pharmacy Practice: The Impact of Clinical Decision Support Systems in Reducing Drug-Related Issues

((C-115)) (C-115) Introduction of an open-access national-level U.S. dementia surveillance system

((C-116)) (C-116) Evaluating the Readiness of Saudi Oncology Real-World Data for Standardization and Quality Enhancement

((C-117)) (C-117) Feasibility assessments in federated networks of disease-specific harmonized data assets: best-practice recommendations based on the PHederation experience

((C-118)) (C-118) Standardization of CLARION study-specific data using a common data model: Experience from multiple sclerosis registries and data sources

((C-119)) (C-119) From Guidelines to Practice: Regulatory Insights on Wearable Tech in Clinical Studies

((C-120)) (C-120) Postpartum Depression and Comorbidities Among Women Participating in Smartphone-Delivered Digital Health Screenings

((C-121)) (C-121) Comparison of Primary Care Coded Prevalence of Atrial Fibrillation and Prescribing Rates for Drugs Indicated for Atrial Fibrillation Identified Using a Large-Language Model

((C-122)) (C-122) Can contemporary large language models provide the domain knowledge needed for causal inference?

((C-123)) (C-123) Application of Artificial Intelligence (AI) and Machine learning (ML) in oncology drug development using real-world data: A Targeted Review

((C-124)) (C-124) Framework for Real-World Data Used in Regulatory Submissions

((C-125)) (C-125) Multimorbidity profile and the risk of major cardiovascular events in new antipsychotic users: a time-to-event prediction study using explainable machine learning

((C-126)) (C-126) Outcomes of digital health intervention in breast cancer survivors: A scoping review

((C-127)) (C-127) AI Trustworthiness: A Study on the Calibration of Large Language Models in Pharmacoepidemiology

((C-128)) (C-128) Prevalence of Key Confounding Covariates in a Commercial Electronic Health Record Platform

((C-129)) (C-129) A Machine Learning Approach for Identifying Patients with Unmet Health-Related Social Needs from EHR data

((C-130)) (C-130) Comparing Large Language Model Categorization of Nominal Group Technique Results to Human-Labeled Data in a Study on Juvenile Idiopathic Arthritis Treatment Change Preferences

((C-131)) (C-131) Conformal Prediction Framework and Selective Classification for Establishing the Credibility of Machine Learning Models – Application in Claims Data

((C-132)) (C-132) Analysis and Management of Computable Operational Definition (CODef) Concept Variation Based on a Large Real-World Studies Library

((C-133)) (C-133) Identifying physician beliefs associated with higher concordance with risk assessment model treatment recommendations for the prevention of venous thromboembolism in an inpatient setting

((C-134)) (C-134) Using Real-World Data and Digital Phenotyping to Identify Candidates for anti-CGRP Migraine Treatment