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Jan 2021 21
Time: 3:00 PM

 

Artificial Intelligence in Health Care Delivery

When:  January 21, 2021 | 3:00pm – 5:00pm ET

Where: via webinar  

Join the National Academy of Medicine (NAM) and the U.S. Government Accountability Office (GAO) for a 2-hour webinar on January 21, 2021 that will focus on the use of artificial intelligence in health care delivery.

Participants will hear from clinicians, AI thought leaders, and policy and legal experts who will discuss promising AI applications across different health settings and issues related to effective development, adoption, and use of such technologies. The webinar will also cover the many challenges inherent in implementing AI in health care inside and outside of the hospital and clinic settings, including algorithm development, ethical and legal liability concerns, and potential policy solutions. 

This webinar will build off of a recent NAM Perspectives discussion paper titled Advancing Artificial Intelligence in Health Settings Outside the Hospital and Clinic and a GAO report titled Artificial Intelligence in Health Care: Benefits and Challenges of Technologies to Augment Patient Care.

We are pleased to offer CE for this webinar through Stanford University. Participants will be able to access a brief CME evaluation after the webinar concludes.

Accreditation: The Stanford University School of Medicine is accredited by the Accreditation Council for Continuing Medical Education (ACCME) to provide continuing medical education for physicians.

Credit Designation: The Stanford University School of Medicine designates this Live Activity for a maximum of 2.00 AMA PRA Category 1 CreditsTM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.


Agenda

3:00 pm ET | Welcome, Introductions, and Meeting Overview

  • Karen L. Howard, PhD, U.S. Government Accountability Office
  • J. Michael McGinnis, MD, MPP, National Academy of Medicine

3:15 pm | GAO Technology Assessment: Artificial Intelligence in Health Care: Benefits and Challenges of Technology to Augment Patient Care

  • Karen L. Howard, PhD, U.S. Government Accountability Office

3:25 pm | GAO Report Panel Discussion and Q&A

Moderator: Jon D. Menaster, U.S. Government Accountability Office 

  • Mark Sendak, MD, MPP, Duke Institute for Health Innovation
  • Ozanan Meireles, MD, Harvard Medical School and Massachusetts General Hospital
  • Marzyeh Ghassemi, PhD, University of Toronto

4:05 pm | NAM Perspectives Discussion Paper: Artificial Intelligence in Health Settings Outside the Hospital and Clinic

  • Mahnoor Ahmed, MEng, National Academy of Medicine

4:15 pm | NAM Discussion Paper Panel Discussion and Q&A

Moderator: Sonoo Thadaney Israni, MBA, Stanford University

  • Sanjay Basu, MD, PhD, Harvard University
  • John J. Curtin, PhD, University of Wisconsin-Madison
  • Barbara J. Evans, JD, PhD, University of Florida
  • Michael E. Matheny, MD, MS, MPH, Center for Improving the Public’s Health through Informatics, TVHS Veterans Affairs, and Vanderbilt University

5:00 pm | Adjourn


Please direct any questions to leadershipconsortium@nas.edu.

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