Volume 23 Issue 5
May  2025
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Article Navigation >  Chinese Journal of General Practice  > 2025  >  23(5): 721-725
TIAN Tian, ZHANG Fei, ZHANG Xuan, WANG Jiahe. Research on the application of artificial intelligence technology based on ChatGPT in general medical services[J]. Chinese Journal of General Practice, 2025, 23(5): 721-725. doi: 10.16766/j.cnki.issn.1674-4152.003988
Citation: TIAN Tian, ZHANG Fei, ZHANG Xuan, WANG Jiahe. Research on the application of artificial intelligence technology based on ChatGPT in general medical services[J]. Chinese Journal of General Practice, 2025, 23(5): 721-725. doi: 10.16766/j.cnki.issn.1674-4152.003988
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Research on the application of artificial intelligence technology based on ChatGPT in general medical services

doi: 10.16766/j.cnki.issn.1674-4152.003988

  • Department of General Practice, Sheng Jing Hospital of China Medical University, Shenyang, Liaoning 110000, China

Funds:

 SJKF-2022ZD04

  • Received Date: 2024-05-28
    Available Online: 2025-08-14
    Abstract
  • In the contemporary era, characterized by accelerated advancements in information technology, the field of artificial intelligence (AI) in healthcare has emerged as a prominent area of research focus. Conversational generative models, such as ChatGPT, offer innovative solutions to improve the efficiency and quality of medical services through their powerful information processing and natural language interaction capabilities. This study systematically investigates the potential of ChatGPT in general practice, exploring strategies and challenges for integrating it into the workflow of general practitioners, and evaluating its impact on optimizing healthcare service quality. The findings indicate that ChatGPT has advantages in medical knowledge updating, clinical decision support and patient health management. Specifically, the development of personalized medical information delivery systems and intelligent patient data processing platforms has the potential to alleviate the workload of general practitioners. The In-Context Learning (ICL) capability of ChatGPT has been demonstrated to align with physicians' needs with a high degree of precision, while its automated medical record summarization function has been shown to substantially improve diagnostic efficiency. In order to achieve effective integrations, it must adhere to principles of human. The emphasis is on the auxiliary role of AI, with particular reference to collaboration, date security and system sustainability. It is recommended that future research place a priority on the optimization of algorithms, the development of privacy protection mechanisms, and the establishment of interdisciplinary collaboration models. These measures are considered essential for the advancement of deep integration and precise application of AI technologies in general practice.

     

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