A multi-specialty clinic receiving hundreds of referral documents daily via fax and email was spending enormous staff hours manually entering patient data into their EHR. Documents came in every format imaginable — handwritten notes, typed reports, lab printouts, and imaging reports. We built a HIPAA-compliant AI pipeline that processes any medical document, extracts structured data, maps it to the correct EHR fields, and flags anything requiring clinical review.
Medical documents contain sensitive PHI requiring HIPAA compliance at every stage. Handwritten physician notes are notoriously difficult to OCR. Medical terminology and abbreviations are domain-specific. The system needed to distinguish between active medications and discontinued ones, current diagnoses and historical ones, and map everything to standardized medical codes.
We deployed the entire pipeline on HIPAA-compliant infrastructure with encryption at rest and in transit. A specialized medical OCR model handles handwritten notes. The extraction layer uses a medical LLM fine-tuned on clinical documents to understand context — distinguishing 'patient was on metformin' (past) from 'continue metformin' (current). All extractions map to ICD-10 and CPT codes automatically.
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Request a DemoOur intake team used to spend their entire day on data entry. Now they greet patients and the AI handles the paperwork.
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Book a Free Strategy CallProcessing time reduced from 4 hours/day to 15 minutes. Data accuracy improved to 99.2%.
View DetailsContract review time cut by 85%. Firm took on 40% more cases with same staff.
View DetailsVerification time dropped from 15 min to 45 seconds per patient. Claim denial rate fell 60%.
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