大型医院临床科研可信数据空间的技术路径研究  

Resesrch on Technical Pathways for Trusted Data Space in Clinical Research of Large-Scale Hospitals

作　　者：孙润康 李金 任宇飞[1,2] 陈妍妍 汪火明[1,2] Sun Runkang;Li Jin;Ren Yufei;Wang Huoming(Tongji Hospital,Tongji Medical College,Huazhong University of Science and Technology,Wuhan,Hubei,430030,China不详;不详)

机构地区：[1]华中科技大学同济医学院附属同济医院,湖北武汉430030 [2]华中科技大学信息医学研究所,湖北武汉430030

出　　处：《中国医院管理》2025年第4期70-72,共3页Chinese Hospital Management

基　　金：湖北省健康医疗大数据中心暨公共卫生应急管理平台建设项目(HBZZ-2021035-F21035)。

摘　　要：为了提升临床科研数据管理的可信性、安全性和便捷性,推动临床科研数据的深度利用,通过引入数据沙箱技术、零信任架构、云计算弹性资源调度及数据湖等核心技术,构建了一个具备可信管控、资源交互、价值共创能力的临床科研可信数据空间。临床科研可信数据空间通过严格的网络访问控制、动态认证、数据脱敏与数字水印技术,为科研人员提供了安全高效的数据处理与分析平台,保障了科研数据全生命周期的安全流转与精准追溯,实现了资源交互与价值共创,为公立医院构建可信科研数据平台提供了技术参考和实践借鉴。To enhance the trustworthiness,security,and convenience of research data management and promote the deep utilization of clinical research data,it introduces core technologies such as data sandboxing,zerotrust architecture, elastic resource scheduling in cloud computing, and data lakes to construct a clinical research trusted data space with trusted management,resource interaction,and value co-creation capabilities. This trusted data space provides a secure and efficient platform for data processing and analysis through strict network access control,dynamic authentication,data anonymization,and digital watermarking technologies. It ensures the secure flow and precise traceability of research data throughout its lifecycle,effectively facilitating resource interaction and value co-creation. The implementation offers a valuable technical reference and practical guidance for other hospitals aiming to build trusted research data platforms.

关 键 词：医院 临床科研 可信数据空间 数据沙箱 零信任 

分 类 号：R197.323.1[医药卫生—卫生事业管理]