Text de-identification for privacy protection: A study of its impact on clinical text information content
Text de-identification minimally reduces the informativeness of clinical notes. About 1.23% of clinical concepts in text are altered by de-identification. Only 0.81% of the annotated clinical concepts fully overlap with PHI. Only 1.78% of the annotated clinical concepts partly overlap with PHI.
de-identification natural language processing medical informatics confidentiality patient data privacy anonymization electronic health records united states department of veterans affairs