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Family Medicine Must Prepare for Artificial Intelligence.

Karim Hanna¹, David Chartash², Winston Liaw²

¹From 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.

Journal of the American Board of Family Medicine : JABFM

|October 25, 2024

Summary

Artificial Intelligence (AI) can transform family medicine by improving patient outcomes and clinician well-being. Responsible AI integration is crucial for enhancing the Quintuple Aim and ensuring equitable, patient-centered care.

Keywords:

Artificial Intelligence Automation Family Medicine Information Technology Medical Informatics Technology Assessment

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Area of Science:

Healthcare Technology
Medical Informatics
Family Medicine Innovation

Background:

Artificial Intelligence (AI) presents a significant opportunity to advance healthcare.
Family medicine must adapt to AI's rapid evolution for optimal patient care.
The Quintuple Aim framework provides a target for AI integration in healthcare.

Purpose of the Study:

To examine the imperative for family medicine to integrate AI.
To explore AI's potential benefits and risks in family medicine.
To advocate for proactive family medicine engagement in directing AI development.

Main Methods:

Literature review on AI advancements in healthcare.
Analysis of AI's impact on clinical practice and patient outcomes.
Discussion of ethical considerations and implementation strategies.

Main Results:

AI offers enhanced diagnostics, reduced administrative burdens, and improved health equity.
Potential risks include depersonalized care and exacerbated health disparities.
AI can optimize patient care and clinician roles in a technology-driven future.

Conclusions:

Family medicine must embrace AI literacy and collaborative integration.
Developing guidelines and standards through interdisciplinary cooperation is essential.
Responsible and ethical AI implementation can revolutionize family medicine.