摘要
为了建立高效可扩展且易于管理的数据融合与应用平台,利用数据空间技术,按照数据敏感性将电子病历数据按照原始数据空间、匿名数据空间、模型数据空间的框架进行集成、融合,对匿名数据进行二次分析与挖掘,并针对各数据空间设计实现了不同的存储、安全保护、数据访问机制。平台已在国家医疗服务分析以及北京大学附属医院医疗能力、质量、效率的分析中得到应用。
In order to build an efficient,scalable and easy-to-manage data integration and application platform,using data space structure,electronic medical records were integrated in original data space,anonymous data space,and model data space according to data sensitivity,and anonymous data were used for data mining and secondary analysis.Different storage,security protection and data access mechanisms were designed and implemented for each data space.The platform has been applied in the analysis of national health care performance and the evaluation of medical capabilities,quality,and efficiency of affiliated hospitals of Peking University.
作者
包小源
张凯
金梦
谢双莲
宋锴
BAO Xiaoyuan;ZHANG Kai;JIN Meng;XIE Shuanglian;SONG Kai(Peking University Medical Informatics Center,Beijing 100191,China;National Health Care Data Center,Beijing 100191,China;Peking University Health Science Center,Beijing 100191,China)
出处
《大数据》
2019年第6期47-61,共15页
Big Data Research
关键词
电子病历
数据平台
数据空间
数据质量
数据脱敏
electronic medical records
data platform
data space
data quality
data desensitization
