New Guidance on Responsible Use of AI

Document Type

Article

Publication Date

1-20-2026

ISSN

0098-7484

Publisher

JAMA Network

Language

en-US

Abstract

Artificial intelligence (AI) has moved rapidly into clinical application, such as imaging and other diagnostics, ambient scribing, and decision support. It has brought both potential benefits and important risks. In the US, it is unclear who has the responsibility to set the rules, validate the models, and, ultimately, pay when things go wrong. Against this backdrop, the Joint Commission (TJC, the primary US hospital accreditor) has partnered with the Coalition for Health AI (CHAI, a clinician-led group that includes industry and stakeholders). Together, they have issued new guidance on responsible use of AI in health care,1 which builds on prior statements from many groups, including the American Medical Association.

Core recommendations include establishing multidisciplinary AI governance committees, validating models on local patient data and workflows before deployment, and instituting continuous postmarket monitoring for drift, performance degradation, or bias1

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