Journal of the American Medical Informatics Association· 2019Q1
A governance model for the application of AI in health care
- 857citations
- Q1SCImago
- 2019year
Short summary
This paper proposes a practical governance model to address ethical and regulatory concerns arising from AI's increasing use in healthcare.
AI-generated from the title and abstract; the full text is not read.
Key points
- AI is expected to be incorporated into routine clinical care soon.
- Key concerns include AI bias, lack of transparency, data privacy, and safety/liability.
- Existing discussions on AI ethics in healthcare lack practical recommendations.
- A proposed governance model aims to address these ethical and regulatory issues.
AI-generated from the title and abstract; the full text is not read.
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.
The authors' abstract, as published at the source. Journal of the American Medical Informatics Association, 2019 · DOI ↗
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Field: Health Informatics
Health InformaticsMedicine