Artificial Intelligence and Health Care Webinar (RECORDED)

Tuesday, May 5, 2020, 12:00 AM - Thursday, May 4, 2023, 12:00 AM

An Internet Enduring Material presented with the Stanford's Presence, National Academy of Medicine (NAM) and the U.S. Government Accountability Office (GAO) to explore the vision, opportunities, challenges, and implications of the use of artificial intelligence (AI) in health care. 

Speakers will review two recent publications focused on AI and health care published by the NAM and GAO.  Artificial Intelligence in Health Care: The Hope, the Hype, the Promise, the Peril was published in December 2019 and outlines current and near-term AI solutions; highlights the challenges, limitations, and best practices for AI development, adoption, and maintenance; offers an overview of the legal and regulatory landscape for AI tools designed for health care application; and outlines key considerations for moving forward, including prioritizing the need for equity, inclusion, and a human rights lens for this work.

GAO’s technology assessment Artificial Intelligence in Health Care: Benefits and Challenges of Machine Learning in Drug Development discusses current and emerging AI technologies available for drug development and their potential benefits; challenges to the development and adoption of these technologies; and policy options to address challenges to the use of machine learning in drug development. Machine learning has the potential to increase the efficiency and effectiveness of the drug development process, decreasing the time and cost required to bring new drugs to market, but several challenges hinder its adoption and impact. The report identifies policy options to address these challenges centered around promoting basic research, increasing data access and sharing, establishing standards, developing human capital, clarifying regulatory certainty, and maintaining the status quo.

  Release Date: May 5, 2020
  Expiration Date: May 5, 2023
  Estimated Time to Complete: 2 hours
  Registration Fee: FREE

*Originally recorded 04/30/2020, jointly hosted by the National Academy of Medicine (NAM) and the U.S. Government Accountability Office (GAO) webinar.

AMA PRA Category 1 Credits™ (2.00 hours), Non-Physician Participation Credit (2.00 hours)

1. Evaluate how the use of AI in health care is poised to make transformative and disruptive advances in health care.
2. Determine how AI may provide better healthcare, improved patient care experience, clinician well-being, lower costs, and health equity throughout.

In support of improving patient care, this activity has been planned and implemented by Stanford Medicine and National Academy of Medicine (NAM) and the U.S. Government Accountability Office (GAO). Stanford Medicine is jointly accredited by the Accreditation Council for Continuing Medical Education (ACCME), the Accreditation Council for Pharmacy Education (ACPE), and the American Nurses Credentialing Center (ANCC), to provide continuing education for the healthcare team.

Credit Designation

American Medical Association (AMA)
Stanford Medicine designates this Enduring Material for a maximum of 2.00 AMA PRA Category 1 Credits^TM. Physicians should claim only the credit commensurate with the extent of their participation in the activity.

Cultural and Linguistic Competency
The planners and speakers of this CME activity have been encouraged to address cultural issues relevant to their topic area for the purpose of complying with California Assembly Bill 1195. Moreover, the Stanford University School of Medicine Multicultural Health Portal contains many useful cultural and linguistic competency tools including culture guides, language access information and pertinent state and federal laws.  You are encouraged to visit the Multicultural Health Portal: http://lane.stanford.edu/portals/cultural.html

Reference/Bibliography List 
For more resources, please visit https://nam.edu/

Questions? Please email [email protected].

For CME general questions, please contact 
     Ph: (650)-497-8554
     Email: [email protected]

The Stanford University School of Medicine adheres to ACCME Criteria, Standards and Policies regarding industry support of continuing medical education.   There are no relevant financial relationships with ACCME-defined commercial interests for anyone who was in control of the content of this activity.