
Split and classify medical records PDFs with HIPAA-ready AI
Delivery in
7 days
- Views 13
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What you get with this Offer
Medical record bundles often arrive as one huge PDF. I will build a pipeline that splits them into separate, correctly labelled documents automatically.
How it works: an LLM classifies each page, then deterministic Python code makes the cuts, so page boundaries stay accurate and auditable.
What you get:
- Page classification into your document types (labs, imaging, progress notes, bills, letters and more)
- Automatic splitting into separate PDFs with clear file names
- Summary index of every document and page range
- OCR support for scanned pages
- HIPAA-aligned processing in your own environment
Why work with me: 7+ years of Python, a 5.0 rating on PeoplePerHour with 40+ reviews, and production AI systems built for healthcare and business automation. Full source code and 7 days of free support are included.
Please message me before ordering with a short description of your project so I can confirm the scope.
How it works: an LLM classifies each page, then deterministic Python code makes the cuts, so page boundaries stay accurate and auditable.
What you get:
- Page classification into your document types (labs, imaging, progress notes, bills, letters and more)
- Automatic splitting into separate PDFs with clear file names
- Summary index of every document and page range
- OCR support for scanned pages
- HIPAA-aligned processing in your own environment
Why work with me: 7+ years of Python, a 5.0 rating on PeoplePerHour with 40+ reviews, and production AI systems built for healthcare and business automation. Full source code and 7 days of free support are included.
Please message me before ordering with a short description of your project so I can confirm the scope.
Get more with Offer Add-ons
-
I can add a short AI summary for every split document
Additional 2 working days
+$80 -
I can deliver all work in 3 working days
+$100
What the Freelancer needs to start the work
1. Two or three sample bundles (synthetic or de-identified).
2. Your list of document types.
3. File naming rules.
4. Expected daily volume.
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