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我国慢性病智慧健康管理协同创新战略研究

Research on the Collaborative Innovation Strategies for Intelligent Health Management on Chronic Diseases in China
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摘要 医防融合的全程健康管理服务和数字健康是慢性病管理发展的方向,慢性病智慧健康管理的创新发展具有重要战略意义。本文系统分析了国内外慢性病智慧健康管理发展现状以及我国面临的挑战,对我国慢性病智慧健康管理做了战略研究,提出了发展的基本原则、发展目标,并从数据标准、共享利用、数字监管、模式转型、技术创新、重点人群和保障制度等方面提出了策略措施。 This study adopts the methods of literature search,interviews,and empirical research in urban and rural areas.By studying the policies of chronic disease intelligent health management at home and abroad and the situation of chronic disease health management services in China,the study proposes the development strategies of chronic disease intelligent health management and collaborative innovation for China.Featured with people-centered as well as medicine and prevention combined,integrated whole-process health management services and digital health are the direction for the development of chronic disease management.It requires the synergy and guarantee of technological innovation and management,and the joint participation of the government,society,and individuals.China has set the goal of realizing health management of chronic diseases for the entire population and throughout the life cycle by 2030.Such regions as Fujian,Shanghai,and Zhejiang,are building comprehensive management database platforms,centered on residents'health records,integrating health management data from public health services,clinical diagnosis and treatment,and the Internet of things,to support risk assessment and classification management of populations.The rapid development of Internet+telemedicine services has promoted the expansion of high-quality medical resources with a balanced layout;the iterative updating of information technology for health management promotes active health management and supports the provision of online health management services;cross-border cooperation and synergistic development in multiple industries such as healthcare,information,and engineering,constructs a health digital ecosystem.At present,there are many bottlenecks in the development of intelligent health management.First,a mechanism for data sharing and utilization of chronic disease prevention,diagnosis and treatment,and monitoring and management has not yet been established;second,a comprehensive national data standard system for chronic disease management has not yet been formed,which hampers the sharing and utilization of data;third,the compliance of practice and application are not high,and there are scientific blind spots and information gaps in rural areas and among elderly patients;fourth,the in-depth fusion and innovation mechanism between health care institutions and medical equipment and information companies has not yet been adequately established,due to the lack of cross-border cooperation in the technological development;fifth,the guarantee mechanism is insufficient and the incentive mechanism is unclear.It is recommended that China builds an integrated,synergistic,and intelligent chronic disease health management service system,to promote fair access to health services and enhance efficiency.Specific strategic measures include:(1)It is recommended that the government accelerates the standardization of chronic disease health management data,Internet of things devices,etc;the government should build a mechanism for connecting,sharing and utilizing big data on chronic disease health management,mainly based on the residents'health records;it is essential to establish and improve the system of property rights for chronic disease health management data,and to strengthen digital regulation.(2)It is recommended to design an integrated health management system for chronic diseases,and carry out informatization construction,to achieve the synergistic development of integrated business and informatization construction for chronic diseases.(3)Efforts should be made to promote the establishment of a collaborative innovation working mechanism in the fields of health care,information technology,and manufacturing industries,and promote innovative iterations of intelligent health management technologies for chronic diseases.(4)It is recommended to strengthen digital publicity on health science and enhance residents'digital health capabilities.Priority will be given to develop technologies such as telemedicine and artificial intelligence-assisted diagnosis in rural areas,as well as strengthen the digital health management capabilities of primary care doctors.It is proposed to pilot the demonstration and application of appropriate technologies for intelligent health management at the primary level in the central and western regions.(5)It is recommended that the government further increases investment and supports the transformation and development of the health management model.The government should carry out performance evaluations of intelligent health management for chronic diseases,and explore the establishment of a fiscal and health insurance synergistic incentive mechanism;strengthen the team-building of primary care doctors and health managers;and actively cultivate a policy environment in which commercial insurance pays for the health management of chronic diseases,and carry out comprehensive regional pilots.
作者 蔡淳 刘月星 鲍萍萍 郎东 戴超 余蓉 陈虹丽 贾伟平 CAI Chun;LIU Yuexing;BAO Pingping;LANG Dong;DAI Chao;YU Rong;CHEN Hongli;JIA Weiping(Department of Endocrinology and Metabolism,Shanghai Diabetes Institute,National Office of Basic Public Health Service Program for Primary Diabetes Care,Shanghai Sixth People's Hospital Affiliated to Shanghai Jiao Tong University School of Medicine,Shanghai 200233,China;School of Public Health,Shanghai Jiao Tong University School of Medicine,Shanghai 200025,China;Shanghai Zhi Tang Health Technology Corporation,Shanghai 201109,China)
出处 《工程管理科技前沿》 北大核心 2024年第3期1-7,共7页 Frontiers of Science and Technology of Engineering Management
基金 上海市科委软科学研究资助项目(22692114600) 上海市公共卫生重点学科资助项目(GWVI-11.1-20) 上海市临床重点专科建设项目—内分泌代谢科(“振龙头”类) 上海市内分泌代谢疾病研究中心资助项目(2022ZZ01002) 内分泌代谢病国家临床重点专科能力建设项目(Z155080000004)。
关键词 慢性病 智慧健康管理 协同创新 策略研究 chronic disease intelligent health management collaborative innovation strategy research
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