医疗数据治理——构建高质量医疗大数据智能分析数据基础

阮彤; 邱加辉; 张知行; 叶琪

doi:10.11959/j.issn.2096-0271.2019002

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医疗数据治理——构建高质量医疗大数据智能分析数据基础

专题：健康医疗大数据 | 更新时间：2024-06-03

- 医疗数据治理——构建高质量医疗大数据智能分析数据基础
- Medical data governance: building the data foundation for intelligent analysis of high quality medical big data
- 大数据 2019年5卷第1期页码：2019002
- 作者机构：
- 作者简介：
  
  [ "阮彤（1973- ），女，博士，华东理工大学计算机技术研究所教授、所长，主要研究方向为数据治理、自然语言处理、知识图谱等。" ]
  [ "邱家辉（1995- ），男，华东理工大学计算机科学与技术系硕士生，主要研究方向为自然语言处理、知识图谱等。" ]
  [ "张知行（1996- ），男，华东理工大学计算机科学与技术系硕士生，主要研究方向为信息提取、自然语言处理和知识图谱。" ]
  [ "叶琪（1976- ），女，博士，华东理工大学计算机科学与技术系讲师，主要研究方向为数据治理、知识图谱等。" ]
- 基金信息：
  
  国家自然科学基金项目;The National Natural Science Foundation of China(No.61772201)
- DOI：10.11959/j.issn.2096-0271.2019002
  中图分类号： TP391
- 网络首发：2019-01，
  
  纸质出版：2019-01-15
- 稿件说明：
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阮彤, 邱加辉, 张知行, 等. 医疗数据治理——构建高质量医疗大数据智能分析数据基础[J]. 大数据, 2019,5(1):2019002.

Tong RUAN, Jiahui QIU, Zhixing ZHANG, et al. Medical data governance: building the data foundation for intelligent analysis of high quality medical big data[J]. Big data research, 2019, 5(1): 2019002.
阮彤, 邱加辉, 张知行, 等. 医疗数据治理——构建高质量医疗大数据智能分析数据基础[J]. 大数据, 2019,5(1):2019002. DOI： 10.11959/j.issn.2096-0271.2019002.

Tong RUAN, Jiahui QIU, Zhixing ZHANG, et al. Medical data governance: building the data foundation for intelligent analysis of high quality medical big data[J]. Big data research, 2019, 5(1): 2019002. DOI： 10.11959/j.issn.2096-0271.2019002.

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。

Abstract

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.

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