Abstract Body: Artificial Intelligence (AI) and its many application (i.e., prediction, visualization, decision support) in health care, have been widely discussed. As the health care environment continues to evolve, including the explosion of available electronic health data, AI has been charged with and described as a solution (or promise) to, among other things, cost reduction, improving quality and access, and changing behavior. Recognizing the importance of AI in this environment, the National Academy of Medicine (NAM) Leadership Consortium for a Value & Science-Driven Health System—through its Digital Health Learning Collaborative (DHLC) — brought together experts to explore opportunities, issues, and concerns related to the expanded application of AI in health and health care settings. The product of this discussion was a NAM publication “Artificial Intelligence and Health Care: The Hope, The Hype, The Promise, and The Perils.” The panel will present the key themes from this publication. Speakers will engage the audience in a discussion of moving forward.

Authors:

Danielle Whicher (Presenter)
National Academy of Medicine

Wendy Chapman (Presenter)
University of Melbourne

Eneida Mendonca (Presenter)
Indiana University/Regenstrief Institute

Nigam Shah (Presenter)
Stanford University

Michael Matheny (Presenter)
Vanderbilt University Medical Center