De-Identification - Live Demos & Notebooks

Automatically identify demographic information such as Date, Doctor, Hospital, ID number, Medical record, Patient, Age, Profession, Organization, State, City, Country, Street, Username, Zip code, Phone number in clinical documents using three of our pretrained Spark NLP models. (...)

This demo shows how to deidentify protected health information in English, Spanish, French, Italian, Portuguese, Romanian, and German texts. (...)

Deidentify PHI information from structured datasets using out of the box Spark NLP functionality that enforces GDPR and HIPPA compliance, while maintaining linkage of clinical data across files. (...)

Deidentify DICOM documents by masking PHI information on the image and by either masking or obfuscating PHI from the metadata. (...)

De-identify PDF documents using HIPAA guidelines by masking PHI information using out of the box Spark NLP models. (...)

De-identify PDF documents using GDPR guidelines by anonymizing PHI information using out of the box Spark NLP models. (...)