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

Commentary (25) Ethics, Privacy, and Legal Issues (687) Design and Usability of Clinical Software and EHRs (386) Artificial Intelligence (2482) Artificial Intelligence, Machine Learning, and Natural Language Processing for Public Health (106) Ethical, Legal, and Social Issues in AI (139) AI Governance and Policy (35)

Published on in Vol 28 (2026)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/97859, first published .
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From Data Stewardship to Model Stewardship: Extending Governance Frameworks for AI Era Health Data Use

From Data Stewardship to Model Stewardship: Extending Governance Frameworks for AI Era Health Data Use

Authors of this article:

Leon Rozenblit1, 2 Author Orcid Image ;   Steven Labkoff2, 3 Author Orcid Image ;   Charles Safran2, 4 Author Orcid Image
Article Authors Cited by Tweetations Metrics

Leon Rozenblit   1, 2 , JD, PhD ;   Steven Labkoff   2, 3 , MD ;   Charles Safran   2, 4 , MS, MD

1 Q.E.D. Institute, New Haven, CT, United States

2 Division of Clinical Informatics, Beth Israel Deaconess Medical Center, Boston, MA, United States

3 Luminant Consulting, Stamford, CT, United States

4 Department of Medicine, Harvard Medical School, Boston, MA, United States

Corresponding Author:

  • Leon Rozenblit, JD, PhD
  • Division of Clinical Informatics
  • Beth Israel Deaconess Medical Center
  • 133 Brookline Avenue, HVMA Annex, Suite 2200
  • Boston, MA 02215
  • United States
  • Phone: 1 617-278-8162
  • Email: lrozenbl@bidmc.harvard.edu