Presentation Type: Panel

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2025 Annual Symposium On Demand

Presentation Time: 03:30 PM - 04:45 PM

Abstract Keywords: Artificial Intelligence, Documentation Burden, Informatics Implementation
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Generative AI scribes have the potential to revolutionize clinical documentation by reducing administrative burden and allowing clinicians to focus more on patient care. While early implementations have demonstrated success among attending physicians in ambulatory settings, the next phase of AI scribes must go further – expanding into new care settings, integrating with a broader range of clinicians, and incorporating advanced capabilities beyond documentation.
This panel will explore the next evolution of AI scribes through three key dimensions: (1) Expansion into new care settings such as emergency departments and inpatient care, (2) Adoption by new clinician groups including residents, advanced practice providers (APPs), nurses, and allied health professionals (AHPs), and (3) The development of new features that extend beyond traditional documentation, such as automated flowsheet documentation, coding assistance, and clinical decision support. Panelists from leading institutions will share real-world insights, challenges, and strategies for evaluating, implementing, scaling, and informing the future development of AI scribes in these evolving domains.

Moderator:
Sara Murray, MD, MAS
UCSF

Speakers:
Maria Byron, MD
University of California, San Francisco

Rebecca Mishuris, MD, MS, MPH
Mass General Brigham

Vincent Liu, MD, MSc
Kaiser Permanente

Pamela Vohra-Khullar, MD
Emory School of Medicine

Authors:
Maria Byron, MD - University of California, San Francisco; Vincent Liu, MD, MSc - Kaiser Permanente; Rebecca Mishuris, MD, MS, MPH - Mass General Brigham; Michael Pfeffer, MD - Stanford Medicine; Sara Murray, MD, MAS - UCSF;

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