• J Am Board Fam Med · Jul 2024

    Family Medicine Must Prepare for Artificial Intelligence.

    • Karim Hanna, David Chartash, Winston Liaw, Damian Archer, Daniel Parente, Nipa R Shah, Steven Waldren, Bernard Ewigman, and Wayne Altman.
    • From the University of South Florida Morsani College of Medicine, Tampa, FL (KH); Yale School of Medicine and UCD, New Haven, CT (DC); University of Houston, Houston, TX (WL); North Shore Community Health, Boston, MA (DA); University of Kansas Medical Center, Kansas City, KA (DP); University of Florida, Jacksonville, Jacksonville, FL (NRS); American Academy of Family Physicians, Kansas City, MO (SW); Department of Family Medicine, Tufts University, Chicago, IL (BE); Department of Family Medicine, Tufts University, Boston, MA (WA). khanna@usf.edu.
    • J Am Board Fam Med. 2024 Jul 1; 37 (4): 520524520-524.

    AbstractArtificial Intelligence (AI) is poised to revolutionize family medicine, offering a transformative approach to achieving the Quintuple Aim. This article examines the imperative for family medicine to adapt to the rapidly evolving field of AI, with an emphasis on its integration in clinical practice. AI's recent advancements have the potential to significantly transform health care. We argue for the proactive engagement of family medicine in directing AI technologies toward enhancing the "Quintuple Aim."The article highlights potential benefits of AI, such as improved patient outcomes through enhanced diagnostic tools, clinician well-being through reduced administrative burdens, and the promotion of health equity by analyzing diverse data sets. However, we also acknowledge the risks associated with AI, including the potential for automation to diverge from patient-centered care and exacerbate health care disparities. Our recommendations stress the need for family medicine education to incorporate AI literacy, the development of a collaborative for AI integration, and the establishment of guidelines and standards through interdisciplinary cooperation. We conclude that although AI poses challenges, its responsible and ethical implementation can revolutionize family medicine, optimizing patient care and enhancing the role of clinicians in a technology-driven future.© Copyright 2024 by the American Board of Family Medicine.

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