Advancing primary care with Artificial Intelligence and Machine Learning

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

doi:10.1016/j.hjdsi.2021.100594

Advancing primary care with Artificial Intelligence and Machine Learning

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

Family Medicine

Research output: Contribution to journal › Article › peer-review

11 Scopus citations

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.

Original language	English (US)
Article number	100594
Journal	Healthcare
Volume	10
Issue number	1
DOIs	https://doi.org/10.1016/j.hjdsi.2021.100594
State	Published - Mar 2022

Keywords

AI/ML
PCP
Population health
Primary care

ASJC Scopus subject areas

Health Policy

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10.1016/j.hjdsi.2021.100594

Cite this

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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.",

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AU - Yang, Zhou

AU - Silcox, Christina

AU - Sendak, Mark

AU - Rose, Sherri

AU - Rehkopf, David

AU - Phillips, Robert

AU - Peterson, Lars

AU - Marino, Miguel

AU - Maier, John

AU - Lin, Steven

AU - Liaw, Winston

AU - Kakadiaris, Ioannis A.

AU - Heintzman, John

AU - Chu, Isabella

AU - Bazemore, Andrew

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AB - 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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Advancing primary care with Artificial Intelligence and Machine Learning

Abstract

Keywords

ASJC Scopus subject areas

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