Physician viewpoint: 10 areas in which AI will transform primary care

Though the integration of artificial intelligence into healthcare is moving at a cautious rate, the technology continues to offer massive potential to revolutionize care delivery and outcomes.

In a recent article in the Journal of General Internal Medicine, Steven Lin, MD, and Megan Mahoney, MD, both from Stanford University, and Christine Sinsky, MD, the AMA's vice president for professional satisfaction, described 10 areas of primary care that stand to be most enhanced by AI. Primary care, they explained, is where the technology is likely to have an impact of the "broadest and most ambitious scale."

"We propose how these AI-powered innovations must augment, not subvert, the patient-physician relationship for physicians and patients to accept them," they wrote. "AI implemented poorly risks pushing humanity to the margins; done wisely, AI can free up physicians' cognitive and emotional space for patients, and shift the focus away from transactional tasks to personalized care."

The 10 areas identified in the article are:

1. Risk prevention and intervention

2. Population health management

3. Medical advice and triage

4. Risk-adjusted paneling and resourcing

5. Device integration

6. Digital health coaching

7. Chart review and documentation

8. Diagnostics

9. Clinical decision-making

10. Practice management

More articles on AI:
Mayo Clinic study finds AI can predict post-PCI hospitalization, death
'AI hesitancy' is hindering the potential of medical chatbots, study finds
Mayo Clinic researchers develop AI to measure physiological health from ECG

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