Quick Guide to Data De-Identification Tools

Good for cleaning clinical records, can only work on Windows machines. Local to the computer (not cloud based).

Broad range of NLP tasks like named entity extraction, sentence segmentation, and more

Clinacuity offers a new system to automatically de-identify clinical notes and structured data found in the electronic health record, to then improve the availability of clinical data for secondary uses, as well as ameliorate the protection of patient data confidentiality.

Can handle large datasets on commodity hardware and it features an intuitive cross-platform graphical user interface.

Philter identifies and redacts sensitive information such as PII and PHI from text and documents.

Named-entity recognition (NER) aims at identifying entities of interest in the text, such as location, organization and temporal expression. Identified entities can be used in various downstream applications such as patient note de-identification and information extraction systems.