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.
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: InCollection
Book Title: Studies in Health Technology and Informatics
Publisher: IOS Press
Human Diseases: No Human Disease specified
Citation: In Studies in Health Technology and Informatics of Studies in health technology and informatics, IOS Press
Date Published: 1st May 2021
Registered Mode: imported from a bibtex file
Views: 1340
Created: 24th Feb 2023 at 17:05
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