用人工智能和机器学习推进初级保健

IF 2 4区 医学 Q3 HEALTH POLICY & SERVICES
Zhou Yang , Christina Silcox , Mark Sendak , Sherri Rose , David Rehkopf , Robert Phillips , Lars Peterson , Miguel Marino , John Maier , Steven Lin , Winston Liaw , Ioannis A. Kakadiaris , John Heintzman , Isabella Chu , Andrew Bazemore
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引用次数: 9

摘要

初级保健是美国最大的医疗保健服务平台。面对人工智能和机器学习技术(AI/ML)革命,初级保健社区将受益于揭示开发和整合AI/ML驱动的临床工具的优先领域和机会的路线图。本文提出了一个框架,该框架确定了初级保健中AI/ML集成的五个领域,以支持医疗服务转型并实现医疗保健系统的五项目标。我们的结论是,初级保健在开发、引入、实施和监测医疗保健中的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不容忽视。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Advancing primary care with Artificial Intelligence and Machine Learning

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.

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来源期刊
CiteScore
4.90
自引率
0.00%
发文量
37
期刊介绍: HealthCare: The Journal of Delivery Science and Innovation is a quarterly journal. The journal promotes cutting edge research on innovation in healthcare delivery, including improvements in systems, processes, management, and applied information technology. The journal welcomes submissions of original research articles, case studies capturing "policy to practice" or "implementation of best practices", commentaries, and critical reviews of relevant novel programs and products. The scope of the journal includes topics directly related to delivering healthcare, such as: ● Care redesign ● Applied health IT ● Payment innovation ● Managerial innovation ● Quality improvement (QI) research ● New training and education models ● Comparative delivery innovation
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