现代情报2026，Vol.46Issue(4)：68-79,12.DOI:10.3969/j.issn.1008-0821.2026.04.006
AIGC驱动的医疗健康领域知识服务模式研究
Research on AIGC-Driven Knowledge Service Mode in Healthcare Field
摘要
Abstract
[Purpose/Significance]Healthcare is related to people's life,health and safety,and is highly dependent on experience and knowledge,requiring intelligent,precise and personalized knowledge services.The rapid development of generative AI technology and the emergence of large parameter scale language models have brought disruptive changes and opportunities for healthcare knowledge services,and it is urgent to build an AIGC-driven knowledge service mode to provide the public with smarter,more accurate,and personalized healthcare knowledge services,so as to improve the people's health level and enhance the health literacy of the whole population.[Method/Process]Based on the construction of domain Large Language Model,the article built a domain knowledge service model including five layers around the key aspects of data collection,knowledge organization,model construction,information security and knowledge service,inte-grating the knowledge service phases,application scenarios and target populations,and conducted experimental validation on healthcare Q&A and image captioning tasks.[Result/Conclusion]The research advances the theoretical depth of the knowledge service mode in the field of healthcare,which can provide support for effectively sequencing,organizing and mining the rich medical knowledge contained in the data,constructing efficient knowledge reasoning models and mecha-nisms,and promoting the development of intelligence,precision and personalization of healthcare knowledge services.关键词
医疗健康/大语言模型/知识服务/服务模式/人工智能Key words
healthcare/large language model/knowledge service/service mode/artificial intelligence分类
社会科学引用本文复制引用
韩普,李雄,陈文祺,刘森嶺..AIGC驱动的医疗健康领域知识服务模式研究[J].现代情报,2026,46(4):68-79,12.基金项目
国家社会科学基金项目"面向多模态医疗健康数据的知识组织模式研究"(项目编号:22BTQ096). （项目编号:22BTQ096）
