Related Experiment Videos
Medical document anonymization with a semantic lexicon
P Ruch1, R H Baud, A M Rassinoux
1Medical Informatics Division, University Hospital of Geneva, ISSCO, University of Geneva.
Proceedings. AMIA Symposium
|November 18, 2000
Abstract:
We present an original system for locating and removing personally-identifying information in patient records. In this experiment, anonymization is seen as a particular case of knowledge extraction. We use natural language processing tools provided by the MEDTAG framework: a semantic lexicon specialized in medicine, and a toolkit for word-sense and morpho-syntactic tagging. The system finds 98-99% of all personally-identifying information.