Comparison of medical history documentation efficiency and quality based on GPT-4o: a study on the comparison between residents and artificial intelligence
While maintaining quality comparable to resident physicians, ChatGPT-4o significantly reduced the time required for medical history documentation. Despite these positive results, practical considerations such as data preprocessing, data security, and privacy protection must be addressed in real-world applications. Future research should further explore ChatGPT-4o's capabilities in handling complex cases and its applicability across different clinical settings.
Authors
- Zhenye Gong
- Jie Cheng (ORCID: https://orcid.org/0000-0002-1265-279X)
- Xu Gao (ORCID: https://orcid.org/0009-0004-0253-6113)
- Shaun Wu
- Rong Wang (ORCID: https://orcid.org/0000-0002-2519-0512)
- Xinyi Wang (ORCID: https://orcid.org/0000-0002-3889-5861)
- Xiaoyang Li (ORCID: https://orcid.org/0000-0003-3741-3688)
- Xiaojing Lu (ORCID: https://orcid.org/0000-0001-7628-7245)
- Weiguo Hu
Institutions
- Shanghai Jiao Tong University (CN)
- Ruijin Hospital (CN)
- Sanda University (CN)
- Zhejiang Medical and Health Group Hangzhou Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-05-14
- DOI
- https://doi.org/10.3389/fmed.2025.1545730
- Citations
- 3
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 1.96
Funders
- Shanghai Science and Technology Development Foundation
- Shanghai Jiao Tong University
- Shanghai Shenkang Hospital Development Center
- School of Medicine, Shanghai Jiao Tong University