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Related Experiment Video

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Generative artificial intelligence for general practice; new potential ahead, but are we ready?

Geert-Jan Geersing1, Niek J de Wit1, Matthew Thompson2

  • 1Julius Center for Health Sciences and Primary Care, Department of General Practice & Nursing Science, University Medical Center Utrecht, Utrecht University, Utrecht, The Netherlands.

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Generative AI (Gen AI) offers significant potential for primary care, enhancing practice, education, and clinical decision-making. Rigorous evaluation by primary care researchers is crucial to ensure effective implementation for GPs and patients.

Keywords:
Generative AIclinical decision supportdigital innovation

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Area of Science:

  • Artificial Intelligence in Healthcare
  • Primary Care Innovation
  • Digital Health

Background:

  • Generative AI (Gen AI) presents solutions for healthcare challenges, including primary care.
  • Applications include task automation (e.g., voice-to-notes) and personalized learning resources.
  • Gen AI holds potential for enhanced diagnostics and therapeutics through multimodal patient data integration.

Purpose of the Study:

  • To outline priorities for Generative AI implementation in primary care.
  • To advocate for leadership by General Practitioners (GPs) and academic primary care departments in Gen AI evaluation.
  • To emphasize the need for rigorous scientific evaluation of Gen AI tools.

Main Methods:

  • Discussion of priorities emerging from a workshop at the WONCA Europe 2024 conference.
  • Argument for GP and academic primary care leadership in evaluating Gen AI.
  • Call for prioritizing primary care research in Gen AI.

Main Results:

  • Three key priorities for Gen AI in primary care identified: practice support, education support, and clinical decision-making support.
  • Emphasis on the necessity of rigorous scientific evaluation to validate Gen AI tools for clinical practice.
  • Call for a coordinated effort led by the primary care academic community.

Conclusions:

  • Primary care academic community should lead Gen AI evaluation efforts.
  • Research agenda drafting is a necessary first step for coordinated efforts.
  • International follow-up is planned after the WONCA Europe 2024 workshop.