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A Language Model-Powered Simulated Patient With Automated Feedback for History Taking: Prospective Study.

Friederike HolderriedChristian Stegemann-PhilippsAnne Herrmann-WernerTeresa Festl-WietekMartin HolderriedCarsten EickhoffMoritz Mahling
Published in: JMIR medical education (2024)
The GPT model was effective in providing structured feedback on history-taking dialogs provided by medical students. Although we unraveled some limitations regarding the specificity of feedback for certain feedback categories, the overall high agreement with human raters suggests that LLMs can be a valuable tool for medical education. Our findings, thus, advocate the careful integration of AI-driven feedback mechanisms in medical training and highlight important aspects when LLMs are used in that context.
Keyphrases
  • medical education
  • medical students
  • endothelial cells
  • healthcare
  • machine learning
  • artificial intelligence
  • high throughput
  • case report