How Should We Oversee AI in Medicine To Ensure Safety and Facilitate Innovation?

Presentation Time: 02:00 PM - 03:15 PM

Abstract Keywords: Artificial Intelligence, Governance, Legal, Ethical, Social and Regulatory Issues, Patient Safety, Informatics Implementation, Healthcare Quality, Clinical Decision Support
Primary Track: Policy
Programmatic Theme: Clinical Informatics

The use of artificial intelligence (AI) in clinical care is rapidly accelerating. While AI tools show promise for improving patient care and streamlining clinical workflows, understanding of the requirements for overseeing the implementation and ensuring safety of such tools is lacking. Traditional medical device oversight frameworks are inadequate for many AI tools, because patient populations, clinical practice, documentation, and information systems vary considerably across hospitals and clinics and vary over time. In this panel, we will bring together a diverse set of experts to describe the gaps in the current oversight of clinical AI systems and discuss opportunities to solidify emerging policy and practice efforts for optimal oversight.

Moderator:
GARY WEISSMAN, MD, MSHP
University of Pennsylvania

Speakers:
Rezwan Ahmed, PhD
Roche

Daniel Herman, MD, PhD
University of Pennsylvania

Nicoleta Economou-Zavlanos, Ph.D.
Duke University

Authors:
Daniel Herman, MD, PhD - University of Pennsylvania; GARY WEISSMAN, MD, MSHP - University of Pennsylvania;

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