中国全科医学2026，Vol.29Issue(29)：4193-4199,4225,8.DOI:10.12114/j.issn.1007-9572.2026.0094
人工智能赋能疾病预防控制标准化建设现状及建议
Status and Suggestions on Standardization Construction of Artificial Intelligence-enabled Disease Prevention and Control
摘要
Abstract
This study aims to analyze the current status and problems of standardization construction for AI-enabled disease prevention and control in China,to provide scientific support for the deep integration of artificial intelligence(AI)and disease prevention and control,and for regulating standardization construction in this field.By analyzing the current status of standardization organizations and standard supply for AI-enabled disease prevention and control in China,and systematically analyzing 334 standards from four dimensions including standard hierarchy,industry chain,business segments,and integrated technical content,we identify problems including fragmented organizational systems,insufficient cross-domain collaboration,and a shortage of integrated standards.In view of the above-mentioned problems,development suggestions are put forward from four perspectives:establishing a regular collaboration mechanism for cross-field standardization technical committees,constructing an integrated standard system framework,filling standard gaps in key areas,and strengthening interdisciplinary talent team building.This study aims to provide theoretical references and practical pathways for the standardization of AI-enabled disease prevention and control,and boost the high-quality development of the disease control sector.关键词
人工智能/疾病预防与控制/标准化/标准体系Key words
Artificial intelligence/Disease prevention and control/Standardization/Standard system分类
医药卫生引用本文复制引用
陈澄,陈开元,孙乃玲,曾华堂,雷苏文,梁万年..人工智能赋能疾病预防控制标准化建设现状及建议[J].中国全科医学,2026,29(29):4193-4199,4225,8.基金项目
清华大学文科建设"双高"计划项目(2024TSG06402) （2024TSG06402）
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(中国疾病预防控制中心资助项目) （中国疾病预防控制中心资助项目）
