从“被动存储”到“主动利用”，数据治理重塑未来医疗

Core Insights - The article highlights the increasing importance of high-quality data in the biopharmaceutical industry, especially following the NIH's ban on certain researchers accessing critical biological databases, emphasizing that data is now a core strategic resource [1] - The establishment of the National Data Bureau in China marks a significant step in promoting data governance and the integration of medical data as a valuable resource for innovation and efficiency in healthcare [2] Group 1: Data Governance and Integration - The strategic position of data has been elevated at the national level, with data now recognized as a key production factor alongside traditional elements like land and labor [2] - The Shanghai city has initiated the "Shanghai Urban Trusted Data Space" project, attracting nearly 300 companies and developing over 300 data products, showcasing the active efforts in building a trusted data ecosystem [2] - Medical data is transitioning from being a byproduct of patient treatment to a powerful driver for medical innovation and resource optimization [3] Group 2: Real-World Data and Drug Development - The construction of a big data platform for late-stage pancreatic cancer has gathered data from 100,000 patients across 31 provinces, providing a solid foundation for precision treatment [5] - Real-world evidence (RWE) is becoming crucial in drug development, allowing for faster and more efficient research processes compared to traditional clinical trials [6][7] - The use of historical real-world data can significantly reduce the time required for drug approval, enabling quicker access to new treatments for patients [7] Group 3: Challenges and Innovations - Despite the abundance of real-world data in China, the quality of this data varies, presenting challenges for effective data governance and utilization [7] - The issue of "data silos" and the need for improved communication between data providers and users are highlighted as significant barriers to achieving effective data flow [8][10] - Innovations such as the MDT intelligent system developed by Roche and local hospitals aim to enhance data structuring and extraction efficiency, paving the way for more insightful clinical practices [9]