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The digital Balint: using AI in reflective practice.

Marcus Lewis1,2, Benedict Hayhoe3

  • 1Abbey Medical Centre, London, UK.

Education for Primary Care : an Official Publication of the Association of Course Organisers, National Association of GP Tutors, World Organisation of Family Doctors
|August 23, 2024
PubMed
Summary
This summary is machine-generated.

Large language models (LLMs) show potential for enhancing reflective practice in general practitioners (GPs). AI-generated questions may help GPs, especially those in isolation, to deepen self-reflection and bridge theory-practice gaps.

Keywords:
Artificial intelligencecognitive reflectioneducationgeneral practicemedicalnatural language processing

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Area of Science:

  • Medical Education
  • Artificial Intelligence in Healthcare
  • Professional Development

Background:

  • Reflective practice is crucial for postgraduate general practitioner (GP) training and continuous professional development.
  • Time constraints and professional isolation hinder meaningful engagement with reflective practice among GPs.
  • Exploring innovative tools to support reflective practice is essential for medical professionals.

Purpose of the Study:

  • To investigate the potential of large language models (LLMs) in enhancing reflective practice for GPs.
  • To explore how LLM-generated questions can prompt deeper self-reflection and bridge theory-practice gaps.
  • To assess the utility of LLMs for isolated practitioners and trainees.

Main Methods:

  • Three case studies were conducted to explore the capabilities of LLMs.
  • LLMs were utilized to generate thought-provoking questions for GPs.
  • The study examined the LLMs' ability to prompt GPs to consider new perspectives and underlying factors.

Main Results:

  • LLMs demonstrated potential in generating questions that stimulate deeper self-reflection.
  • Findings suggest LLMs can help reframe experiences and support isolated practitioners.
  • AI-generated questions may complement traditional reflective methods for trainees under guidance.

Conclusions:

  • LLMs offer a promising avenue for enhancing reflective practice in general practice.
  • Responsible integration of LLMs could support isolated GPs and trainees, improving professional development.
  • Ethical considerations regarding privacy, over-reliance, and bias must be addressed for successful implementation.