Evaluation of a Deidentification (De-Id) Software Engine to Share Pathology Reports and Clinical Documents for Research

Abstract
We evaluated a comprehensive deidentification engine at the University of Pittsburgh Medical Center (UPMC), Pittsburgh, PA, that uses a complex set of rules, dictionaries, pattern-matching algorithms, and the Unified Medical Language System to identify and replace identifying text in clinical reports while preserving medical information for sharing in research.

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