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Application of large language models in the field of chronic disease self-management:a scoping review
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Shuai ZHANG, Han WANG, Kexin ZHANG, Liping ZHANG, Jiazhen LIU, Xiaoxing LAI
Chinese Nursing Research | 2026, 40(10) : 1788 - 1793
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Chinese Nursing Research | 2026, 40(10): 1788-1793
• Review Articles •
Application of large language models in the field of chronic disease self-management:a scoping review
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Shuai ZHANG, Han WANG, Kexin ZHANG, Liping ZHANG, Jiazhen LIU, Xiaoxing LAI
Affiliations
  • 1Chinese Academy of Medical Sciences Peking Union Medical College Hospital, Beijing 100730 China
Published: 2026-05-25 doi: 10.12102/j.issn.1009-6493.2026.10.025
Outline
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Objective

To conduct a scoping review of the application of large language models in the field of chronic disease self-management,and to provide a reference for future research.

Methods

The Joanna Briggs Institute scoping review guideline was used as the framework.Databases including CNKI,Wanfang,VIP,PubMed,EMbase,and Web of Science Core Collection were searched.Literature screening and data extraction were performed.

Results

A total of 10 articles were included.The summarized information indicates that the application forms of large language models in the field of chronic disease self-management included chatbots,intelligent interactive information support systems,precision recommendation systems integrated with medical data,and integrated image-language systems.The content elements included providing disease knowledge and self-management skills guidance,exercise management,diet management,medication management,activities of daily living management,health data monitoring,communication with healthcare professionals,and psychological support.The main application outcomes was related to self-management ability indicators,symptoms indicators,feasibility indicators,and other indicators.

Conclusions

Large language models can enhance patients' self-management abilities,symptom indicators and psychological states.Large language models demonstrate high feasibility and patient acceptance.However,existing studies have limitations such as insufficient intervention depth,limited coverage of disease types,and ethical risks.Future efforts should optimize model functional design based on professional characteristics,strengthen ethical and privacy protection mechanisms,and explore the sustainability of large language models in chronic disease management to promote patient recovery and improve their quality of life.

large language models  /  chronic disease  /  self-management  /  scoping review
张帅, 王涵, 张可欣, 张丽萍, 刘佳珍, 赖小星. 大语言模型在慢性病自我管理领域应用的范围综述. 护理研究, 2026 , 40 (10) : 1788 -1793 . DOI: 10.12102/j.issn.1009-6493.2026.10.025
Shuai ZHANG, Han WANG, Kexin ZHANG, Liping ZHANG, Jiazhen LIU, Xiaoxing LAI. Application of large language models in the field of chronic disease self-management:a scoping review[J]. Chinese Nursing Research, 2026 , 40 (10) : 1788 -1793 . DOI: 10.12102/j.issn.1009-6493.2026.10.025
Year 2026 volume 40 Issue 10
31
9
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Article Info
doi: 10.12102/j.issn.1009-6493.2026.10.025
  • Receive Date:2025-04-11
  • Online Date:2026-10-30
  • Published:2026-05-25
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History
  • Received:2025-04-11
  • Revised:2026-02-13
Affiliations
    1Chinese Academy of Medical Sciences Peking Union Medical College Hospital, Beijing 100730 China
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小菇属 Mycena 11 5.26
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红菇属 Russula 17 8.13
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