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Healthcare AI ยท 6 min read
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Fax to AI: Automating Healthcare's Most Stubborn Workflow

In 2025, US healthcare transmits approximately 9 billion faxes annually. We built an AI system that doesn't fight fax culture. It transforms it.

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 5โ€“15 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†’
HealthcareAutomationOCRAzureDocument AI
C
CSharpTek Team
AI Engineering Team
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