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[用于流行病学研究的医疗数据网络的安全性]

[Security of healthcare data networks used for epidemiological studies].

作者信息

Quantin C, Allaert F A, Bouzelat H, Rodrigues J S, Trombertpaviot B, Brunet-Lecomte P, Grémy F, Dusserre L

机构信息

Service de Biostatistique et Informatique Médicale, CHU de Dijon, BP 1542, 21034 Dijon Cedex.

出版信息

Rev Epidemiol Sante Publique. 2000 Jan;48(1):89-99.

Abstract

Record linkage, for compiling sameperson records from various source files, can improve the feasibility of epidemiological research using populationbased studies. The question is comply with the European legislation on data privacy and data security. For example, a computerized record hash coding and linkage procedure is described to link medical information within the framework of epidemiological followup. Before their extraction, files are rendered anonymous using a oneway hash coding based on the standard hash algorithm (SHA) function. Once rendered anonymous using the software ANONYMAT, the linkage of patient information can be accomplished by means of a mixture model, taking into account several identification variables. An application of this anonymous record linkage procedure was carried out in order to link medical files on cancer, from 3 hospitals of the French RhôneAlpes region. This application stresses how the use of the ANONYMAT software allows compliance with the legislation on data confidentiality without entailing problems on data availability.

摘要

记录链接可从各种源文件中汇编同一人的记录,从而提高基于人群研究的流行病学研究的可行性。问题在于要符合欧洲关于数据隐私和数据安全的立法。例如,描述了一种计算机化记录哈希编码和链接程序,用于在流行病学随访框架内链接医疗信息。在提取文件之前,使用基于标准哈希算法(SHA)函数的单向哈希编码使文件匿名化。一旦使用ANONYMAT软件进行匿名化处理,就可以通过混合模型并考虑多个识别变量来完成患者信息的链接。为了链接法国罗纳-阿尔卑斯地区3家医院的癌症医疗文件,实施了这种匿名记录链接程序。该应用强调了使用ANONYMAT软件如何在不影响数据可用性的情况下符合数据保密法规。

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