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Artificial Intelligence Research in Primary Care Management

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. 


 Thomas TH Wan

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Abstracted/Indexed in

  • Index Copernicus
  • Genamics JournalSeek
  • JournalTOCs
  • China National Knowledge Infrastructure (CNKI)
  • CiteFactor
  • CINAHL Complete
  • Social care institute for Excellence(SCIE)
  • Scimago
  • Ulrich's Periodicals Directory
  • Electronic Journals Library
  • Directory of Research Journal Indexing (DRJI)
  • WorldCat
  • Proquest Summons
  • MIAR
  • ResearchGate
  • University Grants Commission
  • Secret Search Engine Labs