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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

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2025 Annual Symposium On Demand

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

Deploying Large Language Model Features in Health Systems: Lessons from the Front Lines

Category

Panel

Description

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Date: Monday (11/17)
Time: 9:45 AM to 11:00 AM
Room: A707

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11/17/2025 11:00 AM (Eastern Time (US & Canada))


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