基于数据空间的电子病历数据融合与应用平台

doi:10.11959/j.issn.2096-0271.2019049

Abstract

Abstract:

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.

Key words: electronic medical records, data platform, data space, data quality, data desensitization

CLC Number:

C931.6

Xiaoyuan BAO, Kai ZHANG, Meng JIN, Shuanglian XIE, Kai SONG. A data-space based platform for the integration and application of electronic health records[J]. Big Data Research, 2019, 5(6): 47-61.

Figures/Tables 6

References 23

[1]	李玉坤, 孟小峰, 张相於 . 数据空间技术研究[J]. 软件学报, 2008,19(8): 2018-2031.
	LI Y K , MENG X F , ZHANG X Y . Research on dataspace[J]. Journal of Software, 2008,19(8): 2018-2031.
[2]	MIRZA H T , CHEN L , CHEN G . Practicability of dataspace systems[J]. International Journal of Digital Content Technology, 2010,4(3): 233-243.
[3]	屈景辉, 廖琪梅, 许卫中 ,等. 医学信息数据库的建立与数据挖掘[J]. 医学争鸣, 2001,22(1): 88-89.
	QU J H , LIAO Q M , XU W Z ,et al. Technology on establishing and mining the data warehouse of medical information[J]. Negative, 2001,22(1): 88-89.
[4]	王珊, 王会举, 覃雄派 ,等. 架构大数据:挑战、现状与展望[J]. 计算机学报, 2011,34(10): 1741-1752.
	WANG S , WANG H J , QIN X P ,et al. Architecting big data:challenges,studies and forecasts[J]. Chinese Journal of Computers, 2011,34(10): 1741-1752.
[5]	白玲 . 基于DRGs指标的综合医院绩效评价TOPSIS模型分析与验证[J]. 中国卫生统计, 2016,33(5): 839-841.
	BAI L . Analysis and verification of TOPSIS model of general hospital performance evaluation based on DRGs indicators[J]. Chinese Journal of Health Statistics, 2016,33(5): 839-841.
[6]	郑小虹 . 北京DRGs系统的研究与应用[M]. 北京: 北京大学医学出版社, 2015.
	ZHENG X H . Research and application of Beijing DRGs system[M]. Beijing: Peking University Medical PressPress, 2015.
[7]	毛瑛, 王雪, 何荣鑫 . 基于TOPSIS模型的公立医院医疗服务能力评价研究[J]. 中国卫生质量管理, 2016,23(6): 99-103.
	MAO Y , WANG X , HE R X . The TOPSIS model based evaluation of the medical service ability of public hospitals[J]. Chinese Health Quality Management, 2016,23(6): 99-103.
[8]	包小源, 俞国培, 李岩 ,等. 病案首页数据分布式集成管理平台的设计与应用[J]. 中国医院管理, 2014,34(5): 30-32.
	BAO X Y , YU G P , LI Y ,et al. Design and application of distributed integration management of dada in the home page of medical records[J]. Chinese Hospital Management, 2014,34(5): 30-32.
[9]	BENITEZ K , MALIN B . Evaluating re-identification risks with respect to the HIPAA privacy rule[J]. Journal of the American Medical Informatics Association, 2010,17(2): 169-177.
[10]	岳昆, 刘惟一, 朱运磊 ,等. 一种基于概率图模型的不确定性数据世系表示方法[J]. 计算机学报, 2011,34(10): 1897-1906.
	YUE K , LIU W Y , ZHU Y L ,et al. A probabilistic-graphical-model based approach for representing lineages in uncertain data[J]. Chinese Journal of Computers, 2011,34(10): 1897-1906.
[11]	窦婷, 卢菁 . 混合云环境下利用世系保障数据一致性的研究[J]. 计算机应用研究, 2015,32(1): 108-111.
	DOU T , LU J . Data provenance based consistency service for hybrid cloud[J]. Application Research of Computers, 2015,32(1): 108-111.
[12]	聂娟, 孙瑞志, 邓雪峰 ,等. 基于数据世系管理的精准农业不确定性复杂事件处理[J]. 农业机械学报, 2016,47(5): 245-253.
	NIE J , SUN R Z , DENG X F ,et al. Uncertain complex event processing in precision agriculture based on data provenance management[J]. Transactions of the Chinese Society for Agricultural Machinery, 2016,47(5): 245-253.
[13]	黄庆宇, 卢珞先 . 基于数据世系的微博信息管理与检索算法研究[J]. 计算机科学, 2015,42(10): 198-201.
	HUANG Q Y , LU L X . Provenance based information management method for microblog messages[J]. Computer Science, 2015,42(10): 198-201.
[14]	徐飞, 高济 . 一种通用的数据追踪系统的实现[J]. 计算机工程与应用, 2003,39(34): 191-193.
	XU F , GAO J . Implemention of a common data tracing system[J]. Computer Engineering and Applications, 2003,39(34): 191-193.
[15]	王黎维, 黄泽谦, 罗敏 ,等. 集成对象代理数据库的科学工作流服务框架中的数据跟踪[J]. 计算机学报, 2008,31(5): 721-732.
	WANG L W , HUANG Z Q , LUO M ,et al. Data provenance in a scientific workflow service framework integrated with object deputy database[J]. Chinese Journal of Computers, 2008,31(5): 721-732.
[16]	刘骏健 . 基于openEHR的临床数据中心设计与实现[D]. 浙江大学, 2016.
	LIU J J . Design and implementation of clinical data repository based on OpenEHR[D]. Hangzhou:Zhejiang University, 2016.
[17]	DEMKSI H , GARDE S , HILDEBRAND C . Open data models for smart health interconnected applications:the example of open EHR[J]. BMC Medical Informatics and Decision Making, 2016,16(1):137.
[18]	GONZALEZFERRER A , PELEG M , MARCOS M ,et al. Analysis of the process of representing clinical statements for decision-support applications:a comparison of open EHR archetypes and HL7 virtual medical record[J]. Journal of Medical Systems, 2016,40(7): 1-10.
[19]	MIN L T , TIAN Q , LU X D ,et al. An openEHR based approach to improve the semantic interoperability of clinical data registry[J]. BMC Medical Informatics and Decision Making, 2018,18(1):15.
[20]	HALEVY A , FRANKLIN M , MAIER D . Principles of dataspace systems[C]// The 25th ACM SIGMOD-SIGACT-SIGART Symposium on Principles of Database Systems,June 26 - 28,2006,Chicago,USA. New York:ACM Press, 2006: 1-9.
[21]	JEFFERY S R , FRANKLIN M J , HALEVY A Y . Pay-as-you-go user feedback for dataspace systems[C]// International Conference on Management of Data,June 10-12,2008,Vancouver,Canada.[S.l.:s.n]. 2008: 847-860.
[22]	HOFFMAN S , PODGURSKI A . Big bad data:law,public health,and biomedical databases[J]. The Journal of Law,Medicine ＆ Ethics, 2013,41: 56-60.
[23]	El E K . Methods for the de-identification of electronic health records for genomic research[J]. Genome Medicine, 2011,3(4):25. 2-5.

Metrics

Recommended 0

No Suggested Reading articles found!

A data-space based platform for the integration and application of electronic health records

RichHTML

PDF下载

Knowledge

Abstract

Cite this article

share this article

Figures/Tables 6

References 23

Related Articles 15

Metrics

Recommended 0

[1]	Yan ZHANG, Yifan YANG, Ren YI, Shengmei LUO, Jianfei TANG, Zhengxun XIA. Exploration and practice of data quality governance in privacy computing scenarios [J]. Big Data Research, 2022, 8(5): 55-73.
[2]	Li CAI, Yangyong ZHU. From data quality to data products quality [J]. Big Data Research, 2022, 8(3): 26-39.
[3]	Xinbo HUANG. Design and application of unified big data platform of information system for the 14th National Games of the People’s Republic of China [J]. Big Data Research, 2022, 8(2): 158-167.
[4]	Qiaozhuoran CAO, Zugang CHEN, Guoqing LI, Jing LI. Resource and user access control system of scientific data center [J]. Big Data Research, 2022, 8(1): 98-112.
[5]	Jiantong HUO, Limin XIAO, Zhisheng HUO, Yaowen XU. Research and implementation of edge cache system in global virtual data space across WAN [J]. Big Data Research, 2021, 7(5): 57-81.
[6]	Chenhao ZHANG, Limin XIAO, Guangjun QIN, Yao SONG, Shixuan JIANG, Jiye WANG. A wide-area collaborative scheduling system oriented to big data processing applications [J]. Big Data Research, 2021, 7(5): 82-97.
[7]	Guangjun QIN, Limin XIAO, Guangyan ZHANG, Beifang NIU, Zhiguang CHEN. Virtual data space system for national highperformance computing environment [J]. Big Data Research, 2021, 7(2): 101-122.
[8]	Limin XIAO, Yao SONG, Guangjun QIN, Hanjie ZHOU, Chaobo WANG, Bing WEI, Wei WEI, Zhisheng HUO. GVDS: a global virtual data space for wide-area high-performance computing environments [J]. Big Data Research, 2021, 7(2): 123-146.
[9]	Xiaoyu HE, Sungen DENG, Haijing LUAN, Beifang NIU. Study of technique support on the operation of virtual data space in national high performance computing environment [J]. Big Data Research, 2021, 7(2): 158-171.
[10]	Hong DAI, Qun ZHANG, Haolin LU, Junzhi BIN. Comparative analysis between bank industry data governance guidelines and DCMM [J]. Big Data Research, 2020, 6(5): 118-128.
[11]	Yazhen YE, Guohua LIU, Yangyong ZHU. An initial exploration on framework of data assetization [J]. Big Data Research, 2020, 6(3): 3-12.
[12]	Xiaoou DING, Hongzhi WANG, Shengjian YU. Data quality management of industrial temporal big data [J]. Big Data Research, 2019, 5(6): 19-29.
[13]	Gang XIA, Lizhong WANG, Yaheng LIU. An energy saving big data platform scheme [J]. Big Data Research, 2018, 4(4): 96-103.
[14]	Qi YE, Liang ZHAO, Tong RUAN, DongLei FENG, Ju GAO, Min LIU. Usability research of regional health data for clinical efficacy analysis [J]. Big Data Research, 2018, 4(3): 13-23.
[15]	Shengmei LUO, Chen QI, Min WANG, Yuwen YE. Typical application in financial industry of big data platform [J]. Big Data Research, 2018, 4(2): 107-114.