Fax to AI: Automating Healthcare's Most Stubborn Workflow
The Problem with Healthcare Fax
Inbound faxes arrive as images. Staff print them, read them, manually re-enter data into EHRs, and route them to appropriate clinicians. This takes 5โ15 minutes per fax.
The AI Pipeline
Inbound fax (via eFax API) โ Azure Document Intelligence (OCR) โ GPT-4 for clinical entity extraction โ document classification โ routing rules engine โ EHR integration. The whole pipeline runs in under 90 seconds.
Document Classification at Scale
Healthcare faxes include: referrals, lab results, prior authorisations, prescription refill requests, medical records, and insurance correspondence โ each requiring different downstream handling. Current accuracy is 94%.
Human-in-the-Loop Design
We never route fully autonomously for clinical decisions. The AI extracts and classifies; humans confirm and act. Volume capacity per staff member increased 8x.
Running a healthcare operation drowning in faxes?
See the Demo โ