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利用人工智能和机器学习推进初级医疗保健。

Advancing primary care with Artificial Intelligence and Machine Learning.

作者信息

Yang Zhou, Silcox Christina, Sendak Mark, Rose Sherri, Rehkopf David, Phillips Robert, Peterson Lars, Marino Miguel, Maier John, Lin Steven, Liaw Winston, Kakadiaris Ioannis A, Heintzman John, Chu Isabella, Bazemore Andrew

机构信息

The Center for Professionalism & Value in Health Care, USA; American Board of Family Medicine, USA.

Duke Margolis Center for Health Policy, USA.

出版信息

Healthc (Amst). 2022 Mar;10(1):100594. doi: 10.1016/j.hjdsi.2021.100594. Epub 2021 Dec 23.

Abstract

Primary care is the largest healthcare delivery platform in the US. Facing the Artificial Intelligence and Machine Learning technology (AI/ML) revolution, the primary care community would benefit from a roadmap revealing priority areas and opportunities for developing and integrating AI/ML-driven clinical tools. This article presents a framework that identifies five domains for AI/ML integration in primary care to support care delivery transformation and achieve the Quintuple Aims of the healthcare system. We concluded that primary care plays a critical role in developing, introducing, implementing, and monitoring AI/ML tools in healthcare and must not be overlooked as AI/ML transforms healthcare.

摘要

初级保健是美国最大的医疗服务提供平台。面对人工智能和机器学习技术(AI/ML)革命,初级保健领域将受益于一份路线图,该路线图揭示了开发和整合由AI/ML驱动的临床工具的优先领域和机会。本文提出了一个框架,该框架确定了初级保健中AI/ML整合的五个领域,以支持护理服务转型并实现医疗系统的“五重目标”。我们得出结论,初级保健在医疗保健领域开发、引入、实施和监测AI/ML工具方面发挥着关键作用,并且在AI/ML改变医疗保健的过程中绝不能被忽视。

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