促进规范人工智能深度融入健康服务 到2030年基本实现基层诊疗智能辅助应用全覆盖

Core Viewpoint - The implementation of artificial intelligence (AI) in healthcare is set to achieve comprehensive coverage of intelligent auxiliary applications in primary care by 2030, enhancing service capabilities and optimizing resource allocation to meet the growing health service demands of the population [2][4]. Group 1: Policy and Implementation - Five departments have released implementation opinions to promote and standardize the application of "AI + healthcare," outlining a timeline for development [2]. - By 2030, it is expected that intelligent auxiliary applications in primary care will be fully covered, and secondary hospitals will widely adopt AI technologies for medical imaging and clinical decision support [2]. Group 2: Focus Areas for AI Integration - The implementation opinions emphasize several key areas, including the promotion of AI in clinical diagnosis, patient services, and public health, with specific measures to enhance these applications [3]. - There is a strong focus on grassroots applications, aiming to strengthen intelligent auxiliary diagnostic applications for primary care physicians and improve chronic disease management services [3]. Group 3: Development and Innovation - The initiative encourages the development of new service models such as intelligent health check-ups and health management, supporting collaboration between medical equipment manufacturers and healthcare institutions for R&D [3]. - The goal is to establish a public support service platform for vertical large models in the healthcare sector, enhancing the overall AI medical service system [4].