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促进规范人工智能深度融入健康服务(政策速递)
Ren Min Ri Bao· 2025-11-29 22:11
Core Viewpoint - The integration of artificial intelligence (AI) in healthcare is being promoted to enhance service capabilities, optimize resource allocation, and meet the growing health service demands of the population by 2030 [1][2][3] Group 1: AI Applications in Healthcare - AI is being widely applied in various medical fields, including medical imaging diagnosis, clinical decision support, and chronic disease management [1] - The implementation plan emphasizes the need for AI applications to be driven by real business scenarios and to address actual needs, focusing on grassroots applications, clinical diagnosis, patient services, and public health [2] Group 2: Development Goals and Timeline - By 2030, the goal is to achieve full coverage of intelligent assistance applications in grassroots diagnosis and treatment, with secondary hospitals widely adopting AI technologies for medical imaging and clinical decision support [1][2] - A comprehensive standard and regulatory framework for "AI + healthcare" applications is expected to be established, along with the creation of leading technology innovation and talent training bases [1] Group 3: Focus Areas for Implementation - The plan highlights the importance of strengthening intelligent applications in tightly-knit county medical communities and enhancing chronic disease management services [2] - It encourages the development of new service models such as intelligent health check-ups, health consultations, and health management, while supporting collaboration between medical equipment manufacturers and healthcare institutions [2] Group 4: Regulatory and Safety Measures - The initiative aims to ensure that AI empowers rather than replaces healthcare professionals, optimizing industry management and regulatory systems while enhancing data security and personal privacy protection [3] - The establishment of clinical specialty data sets and AI corpus, along with a public support service platform for vertical AI models, is being explored to facilitate the effective implementation of AI in healthcare [3]