Workflow
广州卫生健康行业可信数据空间
icon
Search documents
国家人工智能应用中试基地(医疗领域)在穗正式启动
Nan Fang Du Shi Bao· 2025-09-22 06:23
Core Viewpoint - The establishment of the National Artificial Intelligence Application Pilot Base (Medical Field) in Guangzhou aims to integrate AI technology with healthcare, focusing on "AI + Life Health" to enhance public health governance and foster the development of influential AI enterprises and talent in the region [1][2]. Group 1: Project Launch and Objectives - The pilot base officially launched with 15 initial demonstration scenarios covering nine core areas, including infectious disease early screening, monitoring, and clinical decision support [2]. - The project is part of a national strategy to empower public health through AI, aiming to create a collaborative ecosystem that includes government, industry, and research [1][2]. Group 2: Strategic Collaborations - Strategic partnerships were formed between Guangzhou Data Science Group and several institutions, including Sun Yat-sen University and Huawei, to enhance the integration of AI in healthcare [2]. - Experts, including renowned figures like Zhong Nanshan, emphasized the importance of aligning AI development with real public health needs and fostering a collaborative environment for data sharing and innovation [2]. Group 3: Corporate Role and Future Plans - Guangzhou Data Science Group plans to leverage its strengths in technology innovation and industry empowerment to optimize the service ecosystem and explore new health pathways [3]. - The company aims to establish a comprehensive innovation chain in medical AI, positioning the pilot base as a national benchmark for collaboration among government, enterprises, research, and medical sectors [3].
当消费遇上AI|医疗数据流不动、用不好该如何解决?这一地正建“桥梁”
Di Yi Cai Jing· 2025-05-12 11:31
Core Viewpoint - Guangzhou is actively exploring the construction of a trusted data space in the health industry, aiming to create a public platform connecting hospitals, enterprises, and research institutions to facilitate the circulation of credible health data [1][2][4]. Group 1: Data Challenges and Solutions - The medical data in Guangzhou is abundant, with outpatient visits projected to reach 187 million in 2024, but the development and utilization of this data face challenges such as fragmentation across institutions, security and privacy concerns, and limited computational resources [2][4]. - To address these issues, the Guangzhou Health Commission is working on establishing a trusted data space that will enhance data integration and governance, promote collaboration among medical institutions, research units, and biopharmaceutical companies, and accelerate the extraction of valuable data elements and AI applications in healthcare [2][5]. Group 2: Implementation and Standards - In July 2024, Guangzhou initiated the construction of a platform aimed at ensuring secure and credible data circulation, with a focus on releasing data value [4]. - The Guangzhou Health Commission released local standards for health data collection in December 2024, intending to establish unified data standards to support data governance and the construction of the trusted data space [5]. - The pilot work plan for the trusted data space emphasizes establishing mechanisms, building platforms, data integration, and creating scenarios, with initial results including five data products and 28 high-quality datasets [5]. Group 3: Benefits and Innovations - The establishment of the trusted data space is expected to facilitate data exchange between different medical institutions and biopharmaceutical companies, promoting breakthroughs in medical technology, drug development, and medical device innovation [6]. - The trusted data space will enhance hospitals' digital transformation, allowing them to monetize high-quality data while improving medical efficiency and service levels [6]. - The space will also support the entire biopharmaceutical industry chain, shortening drug development cycles and enabling innovative clinical trials and applications [6]. Group 4: Future Developments - The next steps include connecting the trusted data space with Guangzhou's health big data platform, expanding the data resource range to various medical institutions, and attracting third-party data service providers [7]. - The design mechanism will adopt a "one scenario, one authorization" approach for data usage, ensuring that personal data is only used with individual consent [7].