We are kicking off our Solution Accelerator Series with a powerful healthcare use case — Automated PHI Removal 🏥💡
Why this matters:
Healthcare organizations must comply with HIPAA regulations to protect sensitive Protected Health Information (PHI). But removing PHI from unstructured data — like PDFs, scanned documents, and images — is often time-consuming and error-prone.
With the Automated PHI Removal Solution Accelerator, developed in partnership with John Snow Labs, you can:
- Convert unstructured data (PDFs, images) to structured text using OCR models
- Detect PHI using pre-trained healthcare NLP models
- Automatically remove, mask, or de-identify PHI at scale for downstream analytics
How it works:
- Pre-built code, sample data, and step-by-step instructions are ready in a Databricks notebook.
- Extracted and cleaned data is stored in your Lakehouse, making it analytics-ready — securely and efficiently.
Get Started Today: Download the notebook and try it with your free Databricks trial or your existing account.
💬 Have you faced challenges with PHI removal? Share your experiences below! Also, let us know if there is a use case you would like to get more information on.
