Integration and Assessment of ChatGPT in Medical Case Reporting: A Multifaceted Approach

Author:

Lin Kuan-Chen1ORCID,Chen Tsung-An1,Lin Ming-Hwai12ORCID,Chen Yu-Chun1234ORCID,Chen Tzeng-Ji56ORCID

Affiliation:

1. Department of Family Medicine, Taipei Veterans General Hospital, No. 201, Sec. 2, Shih-Pai Road, Taipei 11217, Taiwan

2. School of Medicine, National Yang Ming Chiao Tung University, Taipei 30010, Taiwan

3. Institute of Hospital and Health Care Administration, School of Medicine, National Yang Ming Chiao Tung University, Taipei 30010, Taiwan

4. Big Data Center, Taipei Veterans General Hospital, Taipei 11217, Taiwan

5. Department of Family Medicine, Taipei Veterans General Hospital Hsinchu Branch, No. 81, Sec. 1, Zhongfeng Road, Zhudong Township, Hsinchu 310403, Taiwan

6. Department of Post-Baccalaureate Medicine, National Chung Hsing University, No. 145, Xingda Road, South District, Taichung 402202, Taiwan

Abstract

ChatGPT, a large language model, has gained significance in medical writing, particularly in case reports that document the course of an illness. This article explores the integration of ChatGPT and how ChatGPT shapes the process, product, and politics of medical writing in the real world. We conducted a bibliometric analysis on case reports utilizing ChatGPT and indexed in PubMed, encompassing publication information. Furthermore, an in-depth analysis was conducted to categorize the applications and limitations of ChatGPT and the publication trend of application categories. A total of 66 case reports utilizing ChatGPT were identified, with a predominant preference for the online version and English input by the authors. The prevalent application categories were information retrieval and content generation. Notably, this trend remained consistent across different months. Within the subset of 32 articles addressing ChatGPT limitations in case report writing, concerns related to inaccuracies and a lack of clinical context were prominently emphasized. This pointed out the important role of clinical thinking and professional expertise, representing the foundational tenets of medical education, while also accentuating the distinction between physicians and generative artificial intelligence.

Funder

Taipei Veterans General Hospital

Hsu Chin-De Memorial Foundation

Publisher

MDPI AG

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Humans‐written versus ChatGPT‐generated case reports;Journal of Obstetrics and Gynaecology Research;2024-09-06

2. Will ChatGPT be Useful for Korean Neurologists in Clinical Practice?;Journal of the Korean Neurological Association;2024-08-01

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