De-identification of unstructured paper-based health records for privacy-preserving secondary use

被引：3

作者：

Fenz, Stefan ^{[1
]}

Heurix, Johannes ^{[1
]}

Neubauer, Thomas ^{[1
]}

Rella, Antonio ^{[1
]}

机构：

[1] Vienna University of Technology, Institute of Software Technology and Interactive Systems, Favoritenstrasse 9-11, 1040 Vienna, Austria

来源：

Journal of Medical Engineering and Technology | 2014年 / 38卷 / 05期

关键词：

Clinical research - Natural language processing systems - Paper;

D O I：

10.3109/03091902.2014.913080

中图分类号：

学科分类号：

摘要：

Whenever personal data is processed, privacy is a serious issue. Especially in the document-centric e-health area, the patients' privacy must be preserved in order to prevent any negative repercussions for the patient. Clinical research, for example, demands structured health records to carry out efficient clinical trials, whereas legislation (e.g. HIPAA) regulates that only de-identified health records may be used for research. However, unstructured and often paper-based data dominates information technology, especially in the healthcare sector. Existing approaches are geared towards data in English-language documents only and have not been designed to handle the recognition of erroneous personal data which is the result of the OCR-based digitization of paper-based health records. © 2014 Informa UK Ltd.

引用

页码：260 / 268