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智慧医院评级标准2024解读:数据资产化时代下智慧医院发展研究报告
亿欧智库·2024-07-04 13:00

Healthcare Quality and Efficiency - Improve medical service quality by integrating patient data for accurate diagnosis and decision-making[2] - Optimize medical processes to reduce costs and enhance operational efficiency through automation and informatization[2] - Enhance patient experience by providing personalized medical services based on health history[2] Data-Driven Healthcare - Utilize smart hospital data elements to achieve comprehensive health management across the entire life cycle[1] - Promote medical research and development through data integration and analysis[2] - Emphasize the importance of data quality, security, and compliance in the 2024 smart hospital standards[43][45] Hospital Digital Transformation - Address challenges in hospital digital transformation, including lack of technical expertise and rapid technology iteration[57] - Focus on reducing repetitive tasks and optimizing resource allocation through AI and data analytics[86] - Integrate external patient data (e.g., wearable devices, nutrition apps) for holistic health management[62][89] Industry and Ecosystem Development - Build a tripartite open ecosystem involving smart healthcare, industrial clusters, and city-level platforms to support health management[99] - Leverage data assets to drive precision and efficiency in medical services, enhancing industry capabilities[104][113] - Expand the role of city-level platforms in aggregating demand and reducing operational costs across the health ecosystem[15][99]