Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence.

Journal: Frontiers in medicine
Published Date: Jan 1, 2025

Abstract

BACKGROUND: As medical technology advances, physicians' responsibilities in clinical practice continue to increase, with medical history documentation becoming an essential component. Artificial Intelligence (AI) technologies, particularly advances in Natural Language Processing (NLP), have introduced new possibilities for medical documentation. This study aims to evaluate the efficiency and quality of medical history documentation by ChatGPT-4o compared to resident physicians and explore the potential applications of AI in clinical documentation.

Authors

  • Xiaojing Lu
    Department of Medical Education, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xinqi Gao
    Department of Medical Education, Ruijin Hospital Affiliated to Shanghai Jiao Tong University School of Medicine, Shanghai, China.
  • Xinyi Wang
    School of Biological Sciences & Medical Engineering, Southeast University, Nanjing, China.
  • Zhenye Gong
    Department of Medical Education, Ruijin Hospital Affifiliated to Shanghai Jiao Tong University School of Medicine, 197 Ruijin Rd. II, Shanghai, 200025, China.
  • Jie Cheng
    State Key Laboratory of Animal Nutrition, College of Animal Science and Technology, China Agricultural University, Beijing, China.
  • Weiguo Hu
    Department of Urology, Beijing Tsinghua Changgung Hospital, School of Clinical Medicine, Tsinghua University, Beijing, China.
  • Shaun Wu
    WORK Medical Technology Group LTD, Hangzhou, China.
  • Rong Wang
    College of Food Science and Engineering, Northwest A&F University, Yangling 712100, Shanxi, China. Electronic address: wangrong91@nwsuaf.edu.cn.
  • Xiaoyang Li
    Department of Thoracic Surgery, West China Hospital of Sichuan University, Chengdu, 610041, China.

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