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Research ArticleSpecial Communication

A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution

Steven Lin
The Journal of the American Board of Family Medicine January 2022, 35 (1) 175-184; DOI: https://doi.org/10.3122/jabfm.2022.01.210226
Steven Lin
From Stanford Healthcare AI Applied Research Team, Division of Primary Care and Population Health, Department of Medicine, Stanford University School of Medicine, Stanford, California.
MD
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Abstract

Artificial intelligence (AI) in health care is the future that is already here. Despite its potential as a transformational force for primary care, most primary care providers (PCPs) do not know what it is, how it will impact them and their patients, and what its key limitations and ethical pitfalls are. This article is a beginner's guide to health care AI, written for the frontline PCP. Primary care—as the dominant force at the base of the health care pyramid, with its unrivaled interconnectedness to every part of the health system and its deep relationship with patients and communities—is the most uniquely suited specialty to lead the health care AI revolution. PCPs can advance health care AI by partnering with technologists to ensure that AI use cases are relevant and human-centered, applying quality improvement methods to health care AI implementations, and advocating for inclusive and ethical AI that combats, rather than worsens, health inequities.

  • Artificial Intelligence
  • Deep Learning
  • Delivery of Health Care
  • Health Equity
  • Information Technology
  • Machine Learning
  • Primary Health Care
  • Quality Improvement
  • Social Justice
  • Technology
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The Journal of the American Board of Family     Medicine: 35 (1)
The Journal of the American Board of Family Medicine
Vol. 35, Issue 1
January/February 2022
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A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution
Steven Lin
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 175-184; DOI: 10.3122/jabfm.2022.01.210226

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A Clinician's Guide to Artificial Intelligence (AI): Why and How Primary Care Should Lead the Health Care AI Revolution
Steven Lin
The Journal of the American Board of Family Medicine Jan 2022, 35 (1) 175-184; DOI: 10.3122/jabfm.2022.01.210226
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  • Article
    • Abstract
    • Introduction
    • A Primer on AI for Primary Care Providers
    • Ten Ways AI Is Transforming Health Care
    • Key Limitations and Ethical Pitfalls of AI
    • Why Primary Care Should Lead Health Care AI
    • How Primary Care Will Lead Health Care AI
    • Conclusion
    • Acknowledgments
    • Notes
    • References
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Keywords

  • Artificial Intelligence
  • Deep Learning
  • Delivery of Health Care
  • Health Equity
  • Information Technology
  • Machine Learning
  • Primary Health Care
  • Quality Improvement
  • Social Justice
  • Technology

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