Abstract
Purpose: The purpose of this article is to review and integrate best research evidence in improving primary care and management with the assistance of artificial intelligence (AI) designed from a theoretically informed and empirically validated framework.
Methods: This is a review article to document the AI evolution in population health and management. The analytical framework is a transdisciplinary perspective. The processes for conducting a systematic review with metaanalysis are noted.
Results: The challenges in implementing and evaluating AI applications in primary care are identified from a systems approach, consisting of the contextual, design, performance and outcomes-of-care components.
Conclusion: The utility of applying transdisciplinary perspectives in AI research for primary care can be further demonstrated through innovative designs and applications of automation and artificial intelligence.
