Custom CSS
double-click to edit, do not edit in source
11/17/2025 |
9:45 AM – 11:00 AM |
A707
S22: Deploying Large Language Model Features in Health Systems: Lessons from the Front Lines
Presentation Type: Panel
Deploying Large Language Model Features in Health Systems: Lessons from the Front Lines
Presentation Time: 09:45 AM - 11:00 AM
Abstract Keywords: Large Language Models (LLMs), Change Management, Governance, Clinical Decision Support, Legal, Ethical, Social and Regulatory Issues
Primary Track: Applications
Programmatic Theme: Clinical Informatics
Large Language Models (LLMs) are increasingly integrated into electronic health record (EHR) systems, patient communications, and clinical decision support. Benefits include efficiency and enhanced information synthesis; however, deployments reveal challenges in accuracy, usability, integration, and clinician trust. This panel brings physician leaders with experience in implementing LLMs to discuss real-world lessons and strategies for ensuring AI accuracy, bias mitigation, regulatory compliance, and workflow integration, emphasizing future research needs.
Speakers:
Brian
Patterson,
MD MPH
University of Wisconsin-Madison
Ashley
Beecy,
MD
NewYork-Presbyterian Hospital
Yasir
Tarabichi,
MD, MSCR
MetroHealth
Sara
Murray,
MD, MAS
UCSF
Authors:
Brian Patterson, MD MPH - University of Wisconsin-Madison;
Ashley Beecy, MD - NewYork-Presbyterian Hospital;
Yasir Tarabichi, MD, MSCR - MetroHealth;
Sara Murray, MD, MAS - UCSF;
Brian
Patterson,
MD MPH - University of Wisconsin-Madison
Ashley
Beecy,
MD - NewYork-Presbyterian Hospital
Yasir
Tarabichi,
MD, MSCR - MetroHealth
Sara
Murray,
MD, MAS - UCSF