title: Recognition and pseudonymisation of medical records for secondary use.
abstract: Health records rank among the most sensitive personal information existing today. An unwanted disclosure to unauthorised parties usually results in significant negative consequences for an individual. Therefore, health records must be adequately protected in order to ensure the individual's privacy. However, health records are also valuable resources for clinical studies and research activities. In order to make the records available for privacy-preserving secondary use, thorough de-personalisation is a crucial prerequisite to prevent re-identification. This paper introduces MEDSEC, a system which automatically converts paper-based health records into de-personalised and pseudonymised documents which can be accessed by secondary users without compromising the patients' privacy. The system converts the paper-based records into a standardised structure that facilitates automated processing and the search for useful information.
authors.affiliation: SBA Research, Favoritenstrasse 16, 1040, Vienna, Austria. jheurix@sba-research.org.
authors.forename: Johannes
authors.initials: J
authors.lastname: Heurix
authors.affiliation: Vienna University of Technology, ISIS, Favoritenstrasse 9-11, 1040, Vienna, Austria.
authors.forename: Stefan
authors.initials: S
authors.lastname: Fenz
authors.affiliation: Xitrust Secure Technologies, Grazbachgasse 67, 8010, Graz, Austria.
authors.forename: Antonio
authors.initials: A
authors.lastname: Rella
authors.affiliation: Vienna University of Technology, ISIS, Favoritenstrasse 9-11, 1040, Vienna, Austria.
authors.forename: Thomas
authors.initials: T
authors.lastname: Neubauer
mesh_terms: D000851:Anonyms and Pseudonyms; D057286:Electronic Health Records; D006801:Humans; D010363:Pattern Recognition, Automated
keywords: De-personalisation; Information management; Privacy; Pseudonymisation; Secondary use