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. 2020 Mar 1;27(3):491-497.
doi: 10.1093/jamia/ocz192.

A governance model for the application of AI in health care

Sandeep Reddy  1 , Sonia Allan  2 , Simon Coghlan  3 , Paul Cooper  1
Affiliations

A governance model for the application of AI in health care

Sandeep Reddy et al. J Am Med Inform Assoc. .

Abstract

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.

Keywords: artificial intelligence; ethics; governance framework; healthcare; regulation.

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Figures

Figure 1.
Figure 1.
Outline of the Governance Model for Artificial Intelligence (AI) in Health Care.
Figure 2.
Figure 2.
Integration of governance in the clinical workflow. AI: artificial intelligence; EHR: electronic health record.
See this image and copyright information in PMC

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