医疗数据治理——构建高质量医疗大数据智能分析数据基础
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摘要
以专病真实世界研究为背景,分析了医疗数据治理和数据可用性存在的各种问题。从医院数据治理出发,延伸到区域数据治理、专科联盟数据治理以及医疗标注数据与知识型数据的治理,总结了不同层次、不同层面数据治理的共性方法与个性方法。在此基础上,进一步探讨了数据治理中的主数据管理、元数据管理、数据质量控制等关键技术和关键环节。最后,给出了医疗大数据标准的基本框架,并基于现有的数据治理评估标准,对医疗大数据治理的现状进行了评估。
The various problems of medical data governance and data availability in the context of real-world research on a specific disease type were analyzed. The definitions and concepts of the data governance were provided, such as hospital data governance, regional data governance, data governance of disease-specific alliances, governance of medical annotation data and knowledge-based data. Here, the common methodologies and personality methodologies of data governance were summarized. Furthermore, the technologies of master data management, metadata management and data quality control in data governance were further discussed. Finally, the basic framework of medical big data standards was given, and the medical data quality was simply evaluated which based on the existing data governance evaluation standards.
The various problems of medical data governance and data availability in the context of real-world research on a specific disease type were analyzed. The definitions and concepts of the data governance were provided, such as hospital data governance, regional data governance, data governance of disease-specific alliances, governance of medical annotation data and knowledge-based data. Here, the common methodologies and personality methodologies of data governance were summarized. Furthermore, the technologies of master data management, metadata management and data quality control in data governance were further discussed. Finally, the basic framework of medical big data standards was given, and the medical data quality was simply evaluated which based on the existing data governance evaluation standards.
引文
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[3]苏玉娟.大数据技术与高新技术企业数据治理创新——以太原高新区为例[J].科技进步与对策,2016, 33(6):47-52.SU Y J. Big data technology and the high and new technology enterprises innovate Data management:Taiyuan HighTech Zone as an example[J]. Science&Technology Progress and Policy, 2016,33(6):47-52.
[4] SUSAN E. The DAMA guide to the data management body of knowledge(DAMADMBOK)[M]. Bradley Beach:Technics Publications LLC, 2010:58-72.
[5]张明英,潘蓉.数据治理白皮书国际标准研究报告要点解读[J].信息技术与标准化,2015(6):54-57.ZHANG M Y, PAN R. Main points elaboration of international standard technical report-white paper of data covernance"[J]. Information Technology and Standardization, 2015(6):54-57.
[6]常朝娣,陈敏.大数据时代医疗健康数据治理方法研究[J].中国数字医学,2016, 11(9):2-5.CHANG Z D, CHEN M. Research on governance methods of healthcare resources in big data era[J]. China Digital Medicine, 2016, 11(9):2-5.
[7] BEGG C, CAIRA T. Exploring the SME quandary:data governance in practice in the small to medium-sized enterprise sector[J]. The Electronic Journal Information Systems Evaluation, 2012,15(1):3-13.
[8]王融.关于大数据交易核心法律问题——数据所有权的探讨[J].大数据,2015, 1(2):49-55.WANG R. Discussion in the legal core question of the data ownership in big data trade[J]. Big Data Research, 2015, 1(2):49-55.
[9] SEBASTIAN M, FELIX K, DENNIS T,et al. Ontology-based data integration between clinical and research systems[J].Public Library of Science ONE, 2015,10(1):1-20.
[10] HANNELE H, KAIJA S, RIIKKA V, et al.Impacts of structuring the electronic health record:a systematic review protocol and results of previous reviews[J]. International Journal of Medical Informatics, 2014, 83(3):159-169.
[11] NG P M L, LO M F, CHOY E. Improving China's corporate governance within the big data era-integration of knowledge management and data governance[C]//International Conference on Intellectual Capital and Knowledge Management and Organisational Learning, December5-6, 2019, Sydney, Australia.[S.I:s.n],2015:183.
[12] GE L, BREWSTER C A. Informational institutions in the agrifood sector:metainformation and meta-governance of environmental sustainability[J]. Current Opinion in Environmental Sustainability,2016, 18:73-81.
[13] RUAN T, DONG X, WANG H, et al.Evaluating and comparing web-scale extracted knowledge bases in Chinese and English[C]//Joint International Semantic Technology Conference, November 11-13,2015, Yichang, China. Heidelberg:Springer, 2015:167-184.
[14] FAN W F, GEERTS F. Foundations of data quality management[M]. San Francisco Bay:Morgan and Claypool Publishers,2012:1-217.
[15] SOMA K, TERMEER C J A M, OPDAM P. Informational governance-a systematic literature review of governance for sustainability in the information age[J].Environmental Science&Policy, 2016,56:89-99.
[16] RUAN T, LI Y, WANG H, et al. From queriability to informativity, assessing“quality in use"of DBpedia and YAGO[C]//lnternational Semantic Web Conference, October 17-21, 2016,Kobe, Japan. Heidelberg:Springer,2016:52-68.
[17] FLECKENSTEIN M, FELLOWS L.Modern data stratery[M]. Heidelberg:Springer, 2018:63-76.