摘要
目的:研究区域大规模、多模态人群队列建设的框架体系,为建设更规范、更高水平的大规模、多模态人群队列提供借鉴和参考。方法:通过文献调研、案例分析等方法,对国内外大型人群队列建设现状进行深度剖析,对建设过程中的挑战进行系统性梳理,提出适用于我国队列建设的框架体系。结果:该框架体系深入梳理了人群队列建设规范化路径和需遵循的标准规范体系,提出了贯穿人群队列建设全过程的数字化能力支撑体系,将数字技术与人群队列特征融合,为构建更规范、更高水平的人群队列提供理论与实践指导。结论:形成了一套符合我国人群特征的队列建设框架体系,以期完善我国人群队列的建设与运转,推动相关学科研究。
Objective To study the framework system of regional large-scale and multi-modal population-based cohort construction,so as to provide reference for constructing a more standardized and a higher level large-scale and multi-modal population-based cohort.Methods Through literature research,case analysis and other methods,the status quo of large-scale population-based cohort construction at home and abroad was deeply analyzed,the challenges in the construction process were systematically sorted out,and a framework system suitable for cohort construction in China.Results The framework system thoroughly sorted out the standardization path of population-based cohort construction and the standard specification system to be followed,proposed a digital capability support system throughout the whole process of population-based cohort construction,integrated digital technology with populationbased cohort characteristics,and provided theoretical and practical guidance for building a more standardized and higher level population-based cohort.Conclusion A set of cohort construction framework system in consistent with the characteristics of Chinese population has been formed in order to improve the construction and operation of Chinese population cohort and promote the research of related disciplines.
作者
赵丹丹
何萍
夏寒
李晓洁
徐博
张怡
ZHAO Dandan;HE Ping;XIA Han;LI Xiaojie;XU Bo;ZHANG Yi(Link-Healthcare Project and Information Technology Department,Shanghai Hospital Development Center,Shanghai 200041,China;School Office,Shanghai University of Traditional Chinese Medicine)
出处
《中国数字医学》
2024年第7期1-6,共6页
China Digital Medicine
基金
上海市科委2023年度“科技创新行动计划”软科学研究领域定向委托项目-面向区域大规模、多模态人群队列的数据组织规范与管理模式研究(23692126500)
上海申康医院发展中心管理研究项目-上海临床研究院数字孪生建设与管理规范研究(2023SKMR-22)
上海申康医院发展中心管理研究项目-基于人工智能的医疗大数据训练设施项目研究与示范应用(2022SKMR-44)
国家科技部科技创新2030-“新一代人工智能(2030)”重大项目《医疗异构联合隐私学习平台》(SQ2022AAA010591)。
关键词
人群队列
大型队列
队列建设
框架体系
Population-based cohort
Large-scale cohort
Cohort construction
Framework system