title: How much does automatic text de-identification impact clinical problems, tests, and treatments?
abstract: Clinical text de-identification can potentially overlap with clinical information such as medical problems or treatments, therefore causing this information to be lost. In this study, we focused on the analysis of the overlap between the 2010 i2b2 NLP challenge concept annotations, with the PHI annotations of our best-of-breed clinical text de-identification application. Overall, 0.81% of the annotations overlapped exactly, and 1.78% partly overlapped.
authors.affiliation: Department of Biomedical Informatics, University of Utah ; VA Health Care System, Salt Lake City, UT.
authors.forename: Stéphane M
authors.initials: SM
authors.lastname: Meystre
authors.forename: Oscar
authors.initials: O
authors.lastname: Ferrández
authors.forename: Brett R
authors.initials: BR
authors.lastname: South
authors.forename: Shuying
authors.initials: S
authors.lastname: Shen
authors.forename: Matthew H
authors.initials: MH
authors.lastname: Samore