Feasibility study of using GPT for history-taking training in medical education: a randomized clinical trial.

Journal: BMC medical education
Published Date: Jul 10, 2025

Abstract

BACKGROUNDS: Traditional methods of teaching history-taking in medical education are limited by scalability and resource intensity. This study aims to assess the effectiveness of simulated patient interactions based on a custom-designed Generative Pre-trained Transformer (GPT) model, developed using OpenAI's ChatGPT GPTs platform, in enhancing medical students' history-taking skills compared to traditional role-playing methods.

Authors

  • Zhen Wang
    Department of Otolaryngology, Longgang Otolaryngology hospital & Shenzhen Key Laboratory of Otolaryngology, Shenzhen Institute of Otolaryngology, Shenzhen, Guangdong, China.
  • Ting-Ting Fan
    Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Economic Development Zone, Hefei, 230601, Anhui, China.
  • Meng-Li Li
    Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Economic Development Zone, Hefei, 230601, Anhui, China.
  • Nin-Jun Zhu
    Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Economic Development Zone, Hefei, 230601, Anhui, China.
  • Xiao-Chen Wang
    Department of Cardiology, The Second Affiliated Hospital of Anhui Medical University, 678 Furong Road, Economic Development Zone, Hefei, 230601, Anhui, China. yply123456@yeah.net.

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