医疗服务贸易

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自然守护+AI智治破题,将中国医疗服务贸易推向全球
Bei Jing Shang Bao· 2025-09-12 07:51
Group 1 - The forum held on September 11 aimed to create a high-standard international service trade cooperation platform for the development and investment in China's healthcare industry, focusing on "Natural Protection + AI Governance" [2] - China has become one of the major exporting countries for pharmaceutical investments globally, with investments upgrading to comprehensive cooperation in technology, capital, and standards across various fields [2] - In 2024, China's pharmaceutical innovation authorized transaction volume exceeded $52.26 billion, making it the highest in the world for single transaction amounts and upfront payments, gaining wide recognition in the global pharmaceutical community [2] Group 2 - The "Implementation Plan for the Digital and Intelligent Transformation of the Pharmaceutical Industry (2025-2030)" was jointly released by seven government departments, emphasizing that digital transformation is crucial for high-quality development in the pharmaceutical sector [3] - The plan sets two development goals: significant progress in digital transformation by 2027 and comprehensive coverage of digital transformation for large-scale pharmaceutical enterprises by 2030, enhancing innovation capabilities and data systems [4] - Expectations include promoting coordinated development of healthcare product standards, strengthening ethical consensus in AI healthcare, and fostering a collaborative ecosystem for project implementation [4] Group 3 - Experts noted that the integration of natural protection and AI governance is key to breaking through industry challenges, allowing traditional medical wisdom to leverage technology for broader applications [5] - The penetration of AI in the healthcare sector is strong, with active investment and financing in "AI + healthcare," particularly in drug development, medical imaging diagnostics, and smart health management [4][5] - Challenges for the development of "AI + healthcare" include clarifying responsibility in medical accidents, addressing algorithmic bias, and protecting medical data privacy [4]