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Family Medicine Must Prepare for Artificial Intelligence

COMMENTARY

Karim Hanna, David Chartash, Winston Liaw, Damian Archer, Daniel Parente, Nipa R. Shah, Steven Waldren, Bernard Ewigman, Wayne Altman

Corresponding Author: Karim Hanna; University of South Florida, Morsani College of Medicine

Email: khanna@usf.edu

DOI: 10.3122/jabfm.2023.230360R1

Keywords: Automation, Artificial Intelligence, Family Medicine, Information Technology, Medical Informatics, Technology Assessment   

Dates: Submitted: 10-06-2023; Revised: 01-29-2024; Accepted: 02-12-2024

FINAL PUBLICATION: |HTML| |PDF|


Artificial Intelligence (AI) is poised to revolutionize family medicine, offering a transformative approach to achieving the Quintuple Aim. This paper 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 healthcare. We argue for the proactive engagement of family medicine in directing AI technologies towards enhancing the "Quintuple Aim".

The paper 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 healthcare 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 while 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. 

ABSTRACTS IN PRESS

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