De-Identification of Electronic Health Records Data

被引：0

作者：

Borowik, Piotr ^{[1
]}

Brylicki, Piotr ^{[2
]}

Dzieciatko, Mariusz ^{[1
]}

Jeda, Waldemar ^{[3
,4
]}

Leszewski, Lukasz ^{[1
]}

Zajac, Piotr ^{[1
]}

机构：

[1] SAS Inst, Ul Gdanska 27-31, PL-01633 Warsaw, Poland

[2] Maria Sklodowska Curie Mem Canc Ctr & Inst Oncol, Ul Roentgena 5, PL-02781 Warsaw, Poland

[3] Warsaw Sch Informat Technol, Ul Newelska 6, PL-01447 Warsaw, Poland

[4] Polish Acad Sci, Syst Res Inst, Ul Newelska 6, PL-01447 Warsaw, Poland

来源：

INFORMATION TECHNOLOGY IN BIOMEDICINE | 2019年 / 1011卷

关键词：

EHR; Data anonymization; De-identyfication; Data quality; SAS; DataFlux; SECURITY; PRIVACY; CARE; ANONYMIZATION;

D O I：

10.1007/978-3-030-23762-2_29

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

ONKO.SYS is an IT infrastructure platform, which consists of Data Warehouse module, with the purpose of cancer research in Warsaw, Poland. Electronic health records are available for scientific purposes and the data items allowing to persons identification have to be encoded or removed. The paper explain sources of personal data and its patterns, especially in doctors' text notes. Also implementation of personal data identification process is described for structural data and for unstructured text notes. The system of text notes de-identification is build in the framework of SAS Institute DataFlux commercial software package.

引用

页码：325 / 337

页数：13

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