2019/10/10 by Sandeep Reddy, Sonia Allan, Simon Coghlan +1 · 4 citations
Medicine · Health Professions · #Artificial Intelligence in Healthcare and Education #Ethics in Clinical Research #Medical Malpractice and Liability Issues
paper · doi:10.1093/jamia/ocz192
openalex publication_date 2019/10/10 · openalex created_date 2025/10/10 · openalex updated_date 2026/08/04
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.