Synthetic Case / De-Identification AI

This module will turn real encounters into safely de-identified, structured cases that can train your models and populate your patient database without exposing PHI.

De-ID AI

In its final form, this area will display a side-by-side view of:

• The original (never stored long-term).
• The proposed de-identified, normalized representation.

You’ll be able to approve, edit, or reject each synthetic case before it’s committed to your training corpus or database.

Interface shell · File upload + pipeline to be wired in