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Title: A governance model for the application of AI in health care.
Contributor(s): Reddy, Sandeep (author); Allan, Sonia  (author)orcid ; Coghlan, Simon (author); Cooper, Paul (author)
Publication Date: 2020-03
Early Online Version: 2019-11-04
DOI: 10.1093/jamia/ocz192
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As the efficacy of artificial intelligence (AI) in improving aspects of healthcare delivery is increasingly becoming evident, it becomes likely that AI will be incorporated in routine clinical care in the near future. This promise has led to growing focus and investment in AI medical applications both from governmental organizations and technological companies. However, concern has been expressed about the ethical and regulatory aspects of the application of AI in health care. These concerns include the possibility of biases, lack of transparency with certain AI algorithms, privacy concerns with the data used for training AI models, and safety and liability issues with AI application in clinical environments. While there has been extensive discussion about the ethics of AI in health care, there has been little dialogue or recommendations as to how to practically address these concerns in health care. In this article, we propose a governance model that aims to not only address the ethical and regulatory issues that arise out of the application of AI in health care, but also stimulate further discussion about governance of AI in health care.

Publication Type: Journal Article
Source of Publication: Journal of the American Medical Informatics Association, 27(3), p. 491-497
Publisher: Oxford University Press
Place of Publication: United Kingdom
ISSN: 1527-974X
Fields of Research (FoR) 2020: 480412 Medical and health law
461004 Information governance, policy and ethics
Socio-Economic Objective (SEO) 2020: 239999 Other law, politics and community services not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Law

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