Leveraging Ontology-Driven Cohort Building for Clinical Trials Matching and Beyond

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Presentation Time: 08:00 AM - 08:18 AM

Abstract Keywords: Controlled Terminologies, Ontologies, and Vocabularies, Artificial Intelligence, Data Modernization, Data Standards
Primary Track: Applications
Programmatic Theme: Clinical Research Informatics

Efficiently identifying eligible patients for genotype-driven oncology trials remains challenging due to clinical data fragmentation and complexity. We present an automated eligibility screening platform leveraging standardized terminology and Palantir Foundry. This system integrates and harmonizes diverse clinical and genomic data sources and utilizes AI-driven enrichment for concept mapping, resulting in rapid and accurate patient-trial matching. Within two months, the platform has delivered over 4,000 real-time notifications across 173 clinical trials, substantially improving patient-trial enrollment efficiency.

Speakers:
Michael Eubank, BS
Memorial Sloan Kettering Cancer Center

Javier Villarreal Almanza


Authors:
John Philip, MS - Memorial Sloan Kettering Cancer Center; Tatyana Sandler - Flatiron Health; Javier Villareal Almanza, MS - Memorial sloan Kettering Cancer Center; Katelyn Mullen, PhD - Memorial Sloan Kettering Cancer Center;

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FHIR-Based Visual Simulation of Consent-Driven Granular Patient Data Segmentation

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Presentation Time: 08:18 AM - 08:36 AM

Abstract Keywords: Data Sharing, Clinical Decision Support, Patient Engagement and Preferences
Primary Track: Applications
Programmatic Theme: Clinical Informatics

SHARES (Substance use HeAlthcare REcord Sharing) is an open source suite for patients to set granular privacy preferences for sensitive health data (e.g., substance use disorder information (SUD)) stored in Fast Healthcare Interoperability Resources (FHIR) medical records. The SHARES framework enables users to specify what data to share, while the Clinical Decision Support System (CDSS) applies confidence-based sensitivity classifications with locale-specific configurations. The SHARES Simulation Tool displays how consent settings impact data segmentation.

Speakers:
Preston Lee, PhD, MBA
College of Health Solutions, Arizona State University

Adela Grando, PhD
Arizona State University

Authors:
Preston Lee, PhD, MBA - College of Health Solutions, Arizona State University; Abhishek Singh Dhadwal, BS - Arizona State University; Adela Grando, PhD - Arizona State University;

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Direct Oral Anticoagulant Dashboards Implemented across Multiple Hospital Systems and Phases of Care

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Presentation Time: 08:36 AM - 08:54 AM

Abstract Keywords: Population Health, Clinical Decision Support, Interoperability and Health Information Exchange, User-centered Design Methods
Primary Track: Applications
Programmatic Theme: Clinical Informatics

This system demonstration features ambulatory and inpatient Direct Oral Anticoagulant (DOAC) dashboards to identify and reduce off-label dosing, a frequent cause of adverse drug events and hospitalizations. These dashboards, deployable within Epic® (using Epic® frameworks or FHIR resources) and non-Epic® (using FHIR resources) EHR environments, help pharmacists and nursing teams ensure compliance with FDA-approved guidelines across phases of care. The solutions are currently deployed in several Michigan hospitals and in two other U.S. states.

Speakers:
Michael Pollock, BS
Michigan Medicine, Department of Learning Health Sciences

Michael Lanham, MD
Michigan Medicine

Authors:
Michael Lanham, MD - Michigan Medicine; Geoffrey Barnes, MD - University of Michigan/Michigan Medicine; F Jacob Seagull, PhD - University of Michigan; Michael Pollock, BS - Michigan Medicine;

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