This paper is in the following e-collection/theme issue:

Non-randomized Protocols and Methods (ehealth) (675) AI Governance and Policy (19) Health Information Governance (39) Artificial Intelligence (2159) Ethical, Legal, and Social Issues in AI (106) Ethical, Legal, and Social Implications of Public Health Informatics (20) Responsible Health AI (56) Theoretical Frameworks and Concepts (341) Co-Design & Participatory Design (174)

Published on in Vol 14 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/75702, first published .
Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

Developing an AI Governance Framework for Safe and Responsible AI in Health Care Organizations: Protocol for a Multimethod Study

Authors of this article:

Sam Freeman1 Author Orcid Image ;   Amy Wang1 Author Orcid Image ;   Sudeep Saraf2 Author Orcid Image ;   Erica Potts2 Author Orcid Image ;   Amy McKimm2 Author Orcid Image ;   Enrico Coiera1 Author Orcid Image ;   Farah Magrabi1 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Gudsoorkar P. Understanding Data Drift in Dental AI. International Dental Journal 2025;75(6):103937 View
  2. . -. International Journal of Chemical Engineering and Materials 2025 View