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AI Agents · Healthcare

AI Document Processing for Healthcare Operations

Secure processing of medical records, lab files, and referral forms with RAG search, schema-based extraction, and validation rules.

AI AGENTS
4x
faster intake throughput
100%
data on-premise
0
PHI sent to public APIs
The challenge

What the client was facing

A healthcare operations team processed thousands of referral letters, lab reports, and discharge summaries each week, manually extracting structured data for the EHR — a slow, error-prone bottleneck.

What we built

The solution

  • OCR + LLM pipeline for typed and handwritten medical documents
  • Domain-specific schemas for referrals, lab results, and discharge summaries
  • Validation rules and clinician sign-off before any data lands in the EHR
  • On-premise deployment for sensitive workloads, GDPR + HIPAA aligned
In production

What it looks like

Illustrative screens — actual client UI, branding, and data redacted under NDA.

AI Document Processing for Healthcare OperationsEXTRACTED FIELDSPatient IDP-44821Document typeReferral letterDate12 Mar 2025Referring clinicianDr. R. PatelSpecialtyCardiologyConfidence98.4%
AI Document Processing for Healthcare Operations — analyticsOverview82%Accuracy3.2kItems12Today4.7ScoreTrend
AI-first delivery angle

Why AI-first mattered here

Models run inside the client's private environment. No PHI leaves the perimeter. Every extracted field has a confidence score and a link to the source document region.

Technologies

Stack

Python Azure OpenAI Tesseract FHIR Docker Kubernetes

Have a similar problem to solve?

Book a free 30-minute call with a senior engineer. We’ll tell you honestly whether AI-first delivery is the right fit — and what a realistic engagement would look like.

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