Segmed De-ID is an online tool for securely de-identifying medical data, built for researchers, clinics, and teams working with clinical text. It shows how modern NLP and language models can automatically remove protected health information (PHI) from documents.
Privacy protection and compliance
De-identification helps prepare clinical data for research and analytics without exposing patient identities. By removing sensitive identifiers, it reduces the risk of data leaks and supports meeting healthcare privacy requirements.
How it works
You paste or upload text, and Segmed’s algorithms detect and remove PHI, including:
- Names
- Contact details
- Patient identifiers
- Other sensitive elements
The service is positioned as a demo: submitted data is not saved or stored on segmed.ai.
Who it’s for
Segmed De-ID is useful for:
- Medical researchers
- Data scientists working with clinical notes
- Healthcare IT and product teams
- Organizations that need to de-identify data before analysis or sharing
