Paper: A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents

ACL ID W12-2408
Title A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents
Venue Workshop on Biomedical Natural Language Processing
Session
Year 2012
Authors

A Hybrid Stepwise Approach for De-identifying Person Names in Clinical Documents Oscar Ferr?ndez1,2, Brett R. South1,2, Shuying Shen1,2, St?phane M. Meystre1,2 1 Department of Biomedical Informatics, University of Utah, Salt Lake City, Utah, USA 2 IDEAS Center SLCVA Healthcare System, Salt Lake City, Utah, USA oscar.ferrandez@utah.edu, {brett.south,shuying.shen,stephane.meystre}@hsc.utah.edu Abstract As Electronic Health Records are growing ex-ponentially along with large quantities of un-structured clinical information that could be used for research purposes, protecting patient privacy becomes a challenge that needs to be met. In this paper, we present a novel hybrid system designed to improve the current strate-gies used for person names de-identification. To overcome this task, o...