AutoDoc Medical Extraction Agent

A document AI pipeline that turns clinical paperwork into structured records.

Service
AI Solutions
Industry
Healthcare
Platforms
Web
Technology
Python, FastAPI, Gemini Vision, Docker, PostgreSQL, React

The problem

Clinical staff were spending 18 hours a week retyping handwritten histories and lab PDFs.

Our approach

We combined OCR with a vision model, then validated every extracted field and attached a confidence score.

What we built

An automated pipeline that reads clinical documents, maps them to FHIR JSON and flags anything unusual for review.

Results

Record intake dropped from 25 minutes to 40 seconds.

  • Intake time from 25 minutes to 40 seconds

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