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Artificial Intelligence in Primary Health Care: Perceptions, Issues, and Challenges.

Harshana Liyanage¹, Siaw-Teng Liaw², Jitendra Jonnagaddala²

¹Department of Clinical & Experimental Medicine, University of Surrey, Guildford, Surrey, UK.

Yearbook of Medical Informatics

|April 26, 2019

Summary

This summary is machine-generated.

Experts agree artificial intelligence (AI) can improve primary health care (PHC) but caution against adaptive AI and emphasize rigorous design. Meticulous evaluation is crucial for safe and effective AI integration in healthcare.

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Area of Science:

Medical Informatics
Artificial Intelligence in Healthcare
Primary Health Care

Background:

Artificial intelligence (AI) offers potential to augment human cognitive capabilities in primary health care (PHC).
Concerns exist regarding the validation, challenge, and potential for erroneous AI-driven decisions in clinical settings.

Framework:

A three-round Delphi study involving PHC and informatics experts was conducted to explore perceptions of AI in primary care.
Consensus was sought on the appropriateness of AI applications and their potential impacts.

Implementation:

Experts recognized AI's potential to enhance managerial and clinical decisions, facilitated by common data standards.
Disagreement emerged on whether AI should adapt to clinician behavior and the extent of potential patient harm.
Assessing AI's impact on care continuity and coordination presented challenges.

Implications:

AI in medicine requires meticulous design and evaluation to enhance healthcare delivery.
The primary care informatics community must proactively guide ethical and rigorous AI development for safe and effective applications.