Affiliation:
1. Jena University Language & Information Engineering (JULIE) Lab, Friedrich-Schiller-Universität Jena, Jena, Germany & SMITH Consortium of the German Medical Informatics Initiative
2. Institut für Germanistik, Alpen-Adria-Universität Klagenfurt, Klagenfurt, Austria
Abstract
We describe the adaptation of a non-clinical pseudonymization system, originally developed for a German email corpus, for clinical use. This tool replaces previously identified Protected Health Information (PHI) items as carriers of privacy-sensitive information (original names for people, organizations, places, etc.) with semantic type-conformant, yet, fictitious surrogates. We evaluate the generated substitutes for grammatical correctness, semantic and medical plausibility and find particularly low numbers of error instances (less than 1%) on all of these dimensions.
Cited by
4 articles.
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