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
S22: Deploying Large Language Model Features in Health Systems: Lessons from the Front Lines
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Date: Monday (11/17) Time: 9:45 AM to 11:00 AM Room: Room 1