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Generative AI as the First Patient: Practice, Feedback, and Confidence.

Thomas Thesen1,2, Wade N O'Brien3, Simon Stone4

  • 1Department of Medical Education, Geisel School of Medicine at Dartmouth, Hanover, USA.

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Generative artificial intelligence (GenAI) enhances medical education by offering AI patient actors for simulated interviews, improving student skills. While valuable, these AI tools complement rather than replace human interaction in clinical training.

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Area of Science:

  • Medical Education Technology
  • Artificial Intelligence in Healthcare
  • Clinical Skills Training

Background:

  • Medical education faces faculty shortages, limiting access to clinical preceptors.
  • Integration and student acceptance of Generative Artificial Intelligence (GenAI) in medical training are underexplored.
  • GenAI offers personalized learning opportunities at scale.

Purpose of the Study:

  • To evaluate the integration and student acceptability of an AI Patient Actor app in a first-year medical curriculum.
  • To assess the impact of AI-driven simulated interviews on student clinical reasoning and communication skills.
  • To explore student perceptions of GenAI as an educational adjunct.

Main Methods:

  • Deployment of a large-language model-based AI Patient Actor app in a first-year medical curriculum.
  • Students conducted simulated clinical interviews with immediate feedback.
  • Sentiment analysis of student comments and feedback surveys were used.

Main Results:

  • Students reported overwhelmingly positive experiences with the AI Patient Actor app.
  • Comfort with GenAI increased significantly with repeated engagement.
  • Students appreciated the flexibility, low-pressure environment, and real-time feedback for skill development.
  • Limitations included perceived lack of authenticity compared to human interactions.

Conclusions:

  • AI patient actors are acceptable educational adjuncts in early clinical training.
  • GenAI provides immediate feedback and enhances student autonomy in learning.
  • AI patient actors supplement, but do not fully replace, interactions with human actors and patients.