Physician Use of Large Language Models: A Quantitative Study Based on Large-Scale Query-Level Data
Physicians are actively integrating GenAI into their professional routines, primarily leveraging it for research but also increasingly for clinical support. Usage patterns vary significantly across demographic lines, including gender, age, and device preference. Despite the presence of sensitive information in some queries, the risk of privacy breaches appears to be low.
Authors
- Gordon Burtch (ORCID: https://orcid.org/0000-0001-9798-1113)
- Chuang Tang (ORCID: https://orcid.org/0000-0001-7905-3081)
- Xuan Bi (ORCID: https://orcid.org/0000-0002-4683-1411)
- Heping Zhang (ORCID: https://orcid.org/0000-0002-0688-4076)
- Lin Qiu (ORCID: https://orcid.org/0000-0003-2331-8698)
- Yanmin Chen (ORCID: https://orcid.org/0000-0001-7928-5392)
Institutions
- Boston University (US)
- University of Minnesota (US)
- Peking University (CN)
- Southern University of Science and Technology (CN)
- Yale University (US)
- Shenzhen Maternity and Child Healthcare Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- Journal of Medical Internet Research
- Published
- 2025-08-25
- DOI
- https://doi.org/10.2196/76941
- Citations
- 1
- Primary Topic
- Artificial Intelligence in Healthcare and Education
- Type
- article
- Field-Weighted Citation Impact
- 0.65
Funders
- National Natural Science Foundation of China
- Basic and Applied Basic Research Foundation of Guangdong Province