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Smart Chronic-Disease Management Models and Development Strategies
Wei Zhao, Kai Chen, Yang Wang, Jing Yuan, Haibo Zhang, Hongfang Li, Shengshou Hu
Strategic Study of CAE ›› 2024, Vol. 26 ›› Issue (6) : 43-55.
PDF(1399 KB)
PDF(1399 KB)
Smart Chronic-Disease Management Models and Development Strategies
With population aging and lifestyle changes, the incidence of chronic diseases is on the rise, posing a significant challenge for public health and socio-economic development in China. To advance the Healthy China initiative, it is urgent to accelerate the establishment of chronic disease management strategies tailored to China and leverage cutting-edge information technologies to create innovative solutions for smart chronic-disease management. This study offers a comprehensive analysis of the current models and emerging trends of chronic disease management enabled by advanced technologies, and identifies challenges faced by China in smart chronic-disease management, including uneven resource allocation, slow progress in information technology infrastructure, and insufficient patient compliance. Based on these insights and aligned with the current healthcare management system in China, this study proposes an overall strategy for smart chronic-disease management that is patient-centered and characterized by a "three-tier vertical management at national, county, and community levels", "multi-end collaboration among healthcare providers, patients, and management agencies", and "intelligent technological assistance throughout the management process". Additionally, it outlines a comprehensive path for the realization of this strategy. The study illustrates the practical utility of the proposed strategy by examining two emblematic cases: the intelligent management of hypertension via physician-patient-administration collaboration and the integrative electrocardiograph interpretation employing a human-intelligence hybrid approach. In the future, it is recommended to develop a region-based integrated chronic-disease prevention and control model, formulate long-term plans for smart chronic-disease management, and optimize the industry chain to enhance the intelligence and efficiency of the community-level chronic-disease management services, thereby providing stronger safeguards for public health.
smart healthcare / chronic disease management / artificial intelligence / three-tier vertical management / multi-end collaboration / intelligent technological assistance
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