中国全科医学2026，Vol.29Issue(22)：3073-3078,6.DOI:10.12114/j.issn.1007-9572.2026.0010
生成式人工智能赋能卫生健康标准体系构建现状与挑战
The Current Situation and Challenges of Building a Standards System for High-quality Development of Health Care Empowered by Generative Artificial Intelligence
摘要
Abstract
Generative artificial intelligence(AI),especially the new generation of generative AI technologies represented by Large Language Models(LLMs),is profoundly transforming and reshaping the development path toward high-quality development in the field of health care.Generative AI technologies have rapidly expanded from technical-level applications in health care:such as clinical auxiliary diagnosis and treatment,disease prevention and control,and health management-to exert an impact on the institutional design and governance tools of this sector,thus posing new challenges.As an important foundational institutional guarantee for ensuring the quality and safety of medical and health services and the equity of basic public health services,the standard system in the health care field is confronted with an urgent demand for digital and intelligent transformation.Against the backdrop of the rapid iteration of medical and health technologies,the continuous evolution of service models,and the increasingly diversified health needs,it is imperative to directly address the current status and challenges in constructing a standard system empowered by generative AI to advance the high-quality development of health care.Building on a systematic review of recent research on the application of generative AI in health and wellness,this paper focuses on its enabling role in the development of health and wellness standards.It systematically examines potential application pathways across key stages:including standard formulation,implementation,evaluation,and dynamic updating:and further discusses major challenges related to technical reliability,ethical governance,legal liability,data quality,and organizational capacity.The study concludes that,guided by the principles of human-centered design and risk controllability,the deliberate integration of generative artificial intelligence into the health and wellness standards framework holds significant promise for advancing the modernization of health governance and promoting health equity in China.关键词
人工智能/生成式人工智能/大语言模型/卫生健康标准/标准体系/数字健康Key words
Artificial intelligence/Generative artificial intelligence/Large language models/Health standards/Standard system/Digital health分类
医药卫生引用本文复制引用
陈开元,王洪川,葛袆,孙乃玲,陈澄,王天然,曾华堂,雷苏文,梁万年..生成式人工智能赋能卫生健康标准体系构建现状与挑战[J].中国全科医学,2026,29(22):3073-3078,6.基金项目
中国疾病预防控制中心资助项目(生成式人工智能赋能卫生健康的标准体系构建和政策策略研究项目) （生成式人工智能赋能卫生健康的标准体系构建和政策策略研究项目）
清华大学自主科研计划资助 （）
