Key Considerations for Governing Safe and Responsible Use of AI in Healthcare.

Journal: Studies in health technology and informatics
Published Date: Aug 7, 2025

Abstract

This study explores the governance challenges and opportunities associated with the implementation and use of AI in healthcare, offering practical insights informed by extensive stakeholder interviews. By analyzing perspectives from academia, government, clinicians, healthcare associations, and consumer groups, the research highlights critical themes, including data governance, ethical considerations, accountability, risk management, and equity. Findings highlight the need for robust frameworks to address fragmented data systems, privacy concerns, and systemic biases while recommending tiered risk management approaches to AI implementation. Enhanced AI literacy, improved infrastructure, and centralized governance structures are proposed to streamline decision-making and ensure safe, equitable, and sustainable AI adoption in healthcare organizations.

Authors

  • Sam Freeman
    Department of Emergency Medicine, St Vincent's Hospital Melbourne, Melbourne, Victoria, Australia.
  • Amy Wang
    From the Departments of Diagnostic Imaging (M.T.S., M.J., J.L.B., G.L.B., R.A.M.), Diagnostic Imaging (A.D.Y.), and Neurosurgery (M.J., R.A.M.), Warren Alpert School of Medicine at Brown University, Rhode Island Hospital, 593 Eddy St, APC 701, Providence, RI 02903; Department of Computer Science, Brown University, Providence, RI (J.V., M.P.D., Y.H.K., S.S.S., H.J.T., A.W., H.L.C.W., C.E., U.C.); and the Norman Prince Neuroscience Institute, Rhode Island Hospital, Providence, RI (M.J., R.A.M.).
  • Farah Magrabi
    Centre for Health Informatics, Australian Institute of Health Innovation, Macquarie University, Australia.

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