文献类型：期刊文献

中文题名：医疗数据治理——构建高质量医疗大数据智能分析数据基础

英文题名：Medical data governance: building the data foundation for intelligent analysis of high quality medical big data

作者：阮彤[1];邱加辉[1];张知行[1];叶琪[1]

机构：[1]华东理工大学计算机科学与技术系,上海200237

年份：2019

卷号：5

期号：1

起止页码：12

中文期刊名：大数据

外文期刊名：Big Data Research

收录：CSTPCD;;国家哲学社会科学学术期刊数据库

基金：国家自然科学基金项目(No.61772201)~~

语种：中文

中文关键词：医疗数据治理;数据可用性;元数据;主数据

外文关键词：medical data governance;data availability;metadata;master data

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.