Advancing primary care with Artificial Intelligence and Machine Learning.

Journal: Healthcare (Amsterdam, Netherlands)
Published Date: Dec 23, 2021

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.

Authors

  • Zhou Yang
    The Center for Professionalism & Value in Health Care, USA; American Board of Family Medicine, USA. Electronic address: zyang@theabfm.org.
  • Christina Silcox
    Duke AI Health, Duke University School of Medicine, Durham, NC.
  • Mark Sendak
    Duke Institute for Health Innovation.
  • Sherri Rose
    Department of Health Care Policy, Harvard Medical School, Boston, Massachusetts.
  • David Rehkopf
    Stanford Center for Population Health Sciences, USA.
  • Robert Phillips
    The Center for Professionalism & Value in Health Care, USA; American Board of Family Medicine, USA.
  • Lars Peterson
    American Board of Family Medicine, USA.
  • Miguel Marino
    Department of Family Medicine, Oregon Health & Science University, USA.
  • John Maier
    3 Department of Family Medicine, University of Pittsburgh, Pittsburgh, PA, USA.
  • Steven Lin
    Stanford University School of Medicine.
  • Winston Liaw
    Robert Graham Center, Washington, DC, and University of Houston College of Medicine, Department of Health Systems and Population Health Sciences.
  • Ioannis A Kakadiaris
    1 Computational Biomedicine Lab University of Houston TX.
  • John Heintzman
    OCHIN Inc, USA; Oregon Health and Science University, USA.
  • Isabella Chu
    Stanford Center for Population Health Sciences, USA.
  • Andrew Bazemore
    Robert Graham Center, Washington, DC.

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