事关“人工智能+医疗卫生”应用发展，五部门出台意见

Core Viewpoint - The implementation of artificial intelligence in the healthcare sector is being promoted through a set of guidelines issued by five government departments, aiming to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the public [1][2]. Group 1: Implementation Goals - By 2027, a series of high-quality datasets and trusted data spaces will be established in the healthcare sector, with widespread application of intelligent decision-making and patient services in medical institutions [2]. - By 2030, intelligent assistance applications in primary care will achieve full coverage, and AI applications in medical imaging and clinical decision-making will be commonly implemented in hospitals above the secondary level [2]. Group 2: Key Application Areas - AI + Primary Care: Focus on enhancing intelligent applications in county-level medical communities, improving diagnostic services, and managing chronic diseases [3][4]. - AI + Clinical Diagnosis: Promotion of intelligent diagnostic services in medical imaging and specialized clinical decision support for complex diseases [4][5]. - AI + Patient Services: Optimization of patient service processes, including intelligent appointment scheduling and follow-up services [5][6]. - AI + Traditional Chinese Medicine: Development of intelligent applications in TCM diagnosis and management, including the establishment of knowledge bases for clinical practices [6][7]. - AI + Public Health: Strengthening infectious disease monitoring and emergency management through AI applications [7][8]. - AI + Research and Education: Enhancing medical research efficiency and expanding health education services through intelligent applications [8][9]. Group 3: Infrastructure and Data Support - Emphasis on building a national health information platform to ensure comprehensive data connectivity across all healthcare institutions [12]. - Encouragement of data sharing and collaboration among healthcare sectors to optimize data collection and utilization [12][13]. Group 4: Regulatory and Safety Measures - Establishment of a comprehensive governance mechanism for AI applications in healthcare, including regulatory standards and safety protocols [14][15]. - Implementation of dynamic monitoring and evaluation systems to ensure the safety and efficacy of AI technologies in medical settings [15][16].