Stroud Austin M, Anzabi Michele D, Wise Journey L, Barry Barbara A, Malik Momin M, McGowan Michelle L, Sharp Richard R
Biomedical Ethics Research Program, Mayo Clinic, Rochester, MN.
Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
Mayo Clin Proc Digit Health. 2024 Dec 20;3(1):100189. doi: 10.1016/j.mcpdig.2024.100189. eCollection 2025 Mar.
Claims abound that advances in artificial intelligence (AI) will permeate virtually every aspect of medicine and transform clinical practice. Simultaneously, concerns about the safety and equity of health care AI have prompted ethical and regulatory scrutiny from multiple oversight bodies. Positioned at the intersection of these perspectives, academic medical centers (AMCs) are charged with navigating the safe and responsible implementation of health care AI. Decisions about the use of AI at AMCs are complicated by uncertainties regarding the risks posed by these technologies and a lack of consensus on best practices for managing these risks. In this article, we highlight several potential harms that may arise in the adoption of health care AI, with a focus on risks to patients, clinicians, and medical practice. In addition, we describe several strategies that AMCs might adopt now to address concerns about the safety and ethical uses of health care AI. Our analysis aims to support AMCs as they seek to balance AI innovation with proactive oversight.
关于人工智能(AI)的进步将几乎渗透到医学的各个方面并改变临床实践的说法比比皆是。与此同时,对医疗保健AI的安全性和公平性的担忧促使多个监督机构进行伦理和监管审查。学术医疗中心(AMC)处于这些观点的交叉点,负责指导医疗保健AI的安全和负责任的实施。由于这些技术带来的风险存在不确定性,以及在管理这些风险的最佳实践方面缺乏共识,AMC关于使用AI的决策变得复杂。在本文中,我们强调了在采用医疗保健AI时可能出现的几种潜在危害,重点关注对患者、临床医生和医疗实践的风险。此外,我们描述了AMC现在可以采用的几种策略,以解决对医疗保健AI的安全性和道德使用的担忧。我们的分析旨在支持AMC在寻求平衡AI创新与积极监督时的工作。