Davenport Thomas, Kalakota Ravi
Babson College, Wellesley, USA.
Deloitte Consulting, New York, USA.
Future Healthc J. 2019 Jun;6(2):94-98. doi: 10.7861/futurehosp.6-2-94.
The complexity and rise of data in healthcare means that artificial intelligence (AI) will increasingly be applied within the field. Several types of AI are already being employed by payers and providers of care, and life sciences companies. The key categories of applications involve diagnosis and treatment recommendations, patient engagement and adherence, and administrative activities. Although there are many instances in which AI can perform healthcare tasks as well or better than humans, implementation factors will prevent large-scale automation of healthcare professional jobs for a considerable period. Ethical issues in the application of AI to healthcare are also discussed.
医疗保健领域数据的复杂性和增长意味着人工智能(AI)将在该领域得到越来越广泛的应用。目前,几种类型的人工智能已经被医疗服务支付方、医疗服务提供商以及生命科学公司所采用。应用的关键类别包括诊断和治疗建议、患者参与度和依从性以及行政活动。尽管在许多情况下,人工智能执行医疗保健任务的能力与人类相当甚至更优,但实施因素将在相当长的一段时间内阻碍医疗保健专业工作的大规模自动化。本文还讨论了人工智能在医疗保健应用中的伦理问题。