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作 者:张艳 刘德祥 袁雪丽[1] 倪文庆[1] 徐健[1] ZHANG Yan;LIU Dexiang;YUAN Xueli;NI Wenqing;XU Jian(Shenzhen Center for Chronic Disease Control,Shenzhen 518020,Guangdong,China)
机构地区:[1]深圳市慢性病防治中心,广东省深圳市518020 [2]汕头大学,广东省汕头市515041
出 处:《中国卫生信息管理杂志》2022年第6期812-817,共6页Chinese Journal of Health Informatics and Management
基 金:深圳市医疗卫生三名工程《深圳市老年人群队列及相关健康管理工具与模式》(项目编号:SZSM201811093);深圳市科技计划项目《专2021N057基于人工智能和健康医疗大数据平台构建“老年综合连续健康服务体系”》(项目编号:KCXFZ20201221173600001)。
摘 要:我国人口老龄化和高龄化进程逐渐加速,老年人群健康问题给我国公共卫生带来巨大挑战。以多态性、复杂性为主要特点的多源健康大数据促进了我国老年人群慢性病流行病学、共病、疾病预测等老年健康相关研究的发展,同时研究领域也面临数据安全与隐私保护困难、横断面资料局限性等一系列挑战。本研究整理了老年健康相关数据的来源及特点,梳理老年健康相关研究现状及难点,并对未来相关数据“共建共享”和老年健康研究重点提供思路。The aging process of the Chinese population is gradually accelerating, and the health problems of the elderly population have brought great challenges to the public health in China. Multi-source health big data, characterized by polymorphism and complexity, has promoted the development of geriatric studies such as the epidemiology of chronic diseases, comorbidity, and disease prediction in the elderly population in China. Meanwhile, the research field faces a series of challenges, such as the difficulty of data security and privacy protection, and the limitation of cross-sectional data. This study sorted out the sources and characteristics of health-related data of the elderly, summarized the status and difficulties of the elderly health related research, and provided ideas for the future co-construction and sharing of elderly health data and research priorities of elderly health.
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