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作 者:邢家睿 何天畅 邹青海 李慧林[4] XING Jiarui;HE Tianchang;ZOU Qinghai;LI Huilin(Graduate School,Founding Fathers University,Manila 10048,Philippines;College of Arts and Science,Hubei Normal University,Huangshi 435109,China;Tongren Municipal Bureau of Culture,Sports,Broadcasting and Tourism,Sports Industry Research Centre,Tongren 554300,China;School of Physical Education and Sports,Xuchang College,Xuchang 461000,China)
机构地区:[1]国父大学研究生院,菲律宾马尼拉10048 [2]湖北师范大学文理学院,湖北黄石435109 [3]铜仁市文体广电旅游局体育产业研究中心,贵州铜仁554300 [4]许昌学院体育学院,河南许昌461000
出 处:《医学与哲学》2024年第21期44-48,60,共6页Medicine and Philosophy
基 金:2021年国家社会科学基金一般项目(21BTY079);2024年贵州省高校人文社会科学研究项目(2024RW201)。
摘 要:大数据驱动健康需求精准管理是全面建设健康中国的重要手段。现行大数据驱动健康需求精准管理面临数字基建触角短板,妨碍健康需求精准感知;主体信息不对称,阻滞健康需求精准识别;数据共享壁垒,制约健康需求数据集成共享;表达机制不畅,阻断健康需求精准反馈的伦理壁垒。进而提出健全健康需求精准管理模型,推动健康需求精准管理理论创新;健全健康需求精准感知网络,完善健康需求数字基建感知体系;增强健康需求精准识别,动态优化健康需求清单制度;强化健康需求精准测量,关注健康需求排序;健全健康需求精准反馈机制,搭建健康需求智能监测平台的推进路径。Big data-driven precision management of health needs is an important means to comprehensively build a Healthy China.However,current efforts face several ethical barriers,including limited reach of digital infrastructure,hindering accurate perception of health needs;asymmetry of information between parties,obstructing precise identification of health needs;data sharing barriers,restricting integration and sharing of health data;and inefficient feedback mechanisms,interrupting precise feedback on health needs.To address these issues,the paper proposes advancing the precision management model of health needs and promoting theoretical innovations in this area.It also suggests improving the digital infrastructure for health perception,enhancing the precision recognition of health needs through dynamic optimization of health need inventories,strengthening the measurement and prioritization of health needs,and establishing an effective feedback mechanism by developing an intelligent health monitoring platform.
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