两会三人行｜破题互联网医疗，要让数据真正“用起来活起来”

Group 1: Internet Healthcare Development - Internet healthcare and AI technologies are transforming medical service models and are seen as crucial for the development of healthcare in Beijing [1] - Current challenges include fragmented platforms, unclear application boundaries of AI and online diagnosis, and isolated medical data hindering innovation [1] - Multiple city council members emphasize the need for clear service boundaries and risk prevention while promoting technology and data value [1] Group 2: Remote Medical Services for Elderly - A significant portion of elderly individuals in Beijing face difficulties accessing healthcare services, particularly high-functioning seniors [4] - A proposed solution includes establishing a remote medical service system centered around top-tier hospitals, enabling remote consultations and management [4][5] - Training community healthcare providers to assist elderly patients with technology and health monitoring is essential for effective remote healthcare delivery [5] Group 3: Challenges in Internet Healthcare - Despite the growth of internet healthcare, there are significant gaps in its application in core medical processes such as diagnosis and treatment [7] - Only 0.5% of total medical consultations in Beijing are conducted online, indicating a substantial gap compared to leading platforms [7] - Regulatory focus remains on hospitals rather than platforms, which hampers innovation and accountability in the sector [8] Group 4: Data Utilization in Healthcare - Medical institutions face issues with "data silos," where data ownership and usage rights are unclear, limiting the integration of AI and internet healthcare [9] - Recommendations include strengthening platforms, activating resources, innovating regulations, and enhancing data sharing to fully utilize medical data [9] Group 5: Cautions on AI and Internet Healthcare - There is a need to avoid blind reliance on AI and internet healthcare, particularly for vulnerable populations who may require in-person medical attention [10][11] - AI should be viewed as a supportive tool rather than a replacement for healthcare professionals, with clear boundaries established for its application [12]