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  2. Using Generative Ai To Support Clinical Reasoning Coaching: A Theory-informed Approach.
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  2. Using Generative Ai To Support Clinical Reasoning Coaching: A Theory-informed Approach.

Related Experiment Videos

Using generative AI to support clinical reasoning coaching: a theory-informed approach.

Avneesh Sharma1, Jessica J Dreicer2, Andrew S Parsons3

  • 1Department of Internal Medicine, University of Virginia Medical Center, Charlottesville, USA.

Diagnosis (Berlin, Germany)
|June 25, 2026

View abstract on PubMed

Summary
This summary is machine-generated.

Generative artificial intelligence (gen AI) can enhance clinical reasoning coaching for medical learners. Educational theories like deliberate practice guide gen AI integration to address learning challenges and improve engagement.

Keywords:
clinical reasoningcoachinggenerative artificial intelligenceremediation

Related Experiment Videos

Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Cognitive Science

Background:

  • Clinical reasoning is crucial for medical professionals.
  • Struggling learners require tailored coaching strategies.
  • Generative artificial intelligence (gen AI) presents new opportunities for educational support.

Purpose of the Study:

  • To propose a conceptual framework for integrating gen AI into clinical reasoning coaching.
  • To ground this framework in established educational theories.
  • To enhance support for struggling medical learners.

Main Methods:

  • Developed a conceptual framework integrating gen AI with deliberate practice, self-regulated learning microanalysis, and psychological safety.
  • Selected theories based on their relevance to challenges faced by struggling learners.
  • Included suggested prompts for utilizing gen AI in coaching.
  • Main Results:

    • The framework provides a structured approach to using gen AI for clinical reasoning coaching.
    • Each theoretical component addresses specific difficulties in coaching, such as feedback, metacognition, and learner engagement.
    • The proposed methods offer practical guidance for educators.

    Conclusions:

    • Gen AI, when guided by educational theory, can significantly support and enhance clinical reasoning coaching.
    • Integrating gen AI within frameworks of deliberate practice, self-regulated learning, and psychological safety is effective.
    • This approach offers a promising avenue for improving medical education and learner outcomes.