Activity ID
12999Expires
December 20, 2026Format Type
Journal-basedCME Credit
1Fee
$30CME Provider: JAMA
Description of CME Course
Importance Given the importance of rigorous development and evaluation standards needed of artificial intelligence (AI) models used in health care, nationwide accepted procedures to provide assurance that the use of AI is fair, appropriate, valid, effective, and safe are urgently needed.
Observations While there are several efforts to develop standards and best practices to evaluate AI, there is a gap between having such guidance and the application of such guidance to both existing and new AI models being developed. As of now, there is no publicly available, nationwide mechanism that enables objective evaluation and ongoing assessment of the consequences of using health AI models in clinical care settings.
Conclusion and Relevance The need to create a public-private partnership to support a nationwide health AI assurance labs network is outlined here. In this network, community best practices could be applied for testing health AI models to produce reports on their performance that can be widely shared for managing the lifecycle of AI models over time and across populations and sites where these models are deployed.
Disclaimers
1. This activity is accredited by the American Medical Association.
2. This activity is free to AMA members.
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Commercial Support?
NoNOTE: If a Member Board has not deemed this activity for MOC approval as an accredited CME activity, this activity may count toward an ABMS Member Board’s general CME requirement. Please refer directly to your Member Board’s MOC Part II Lifelong Learning and Self-Assessment Program Requirements.
Educational Objectives
To identify the key insights or developments described in this article
Keywords
Health Policy, Artificial Intelligence, Health Care Quality
Competencies
Medical Knowledge
CME Credit Type
AMA PRA Category 1 Credit
DOI
10.1001/jama.2023.26930
