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Healthcare · AI accelerator

Medical Records Parser

Extracts structured clinical data from PDFs, faxes and scans.

96–98%
Extraction accuracy
4×
Processing throughput
−70 to −80%
Manual abstraction
5–8 months
Payback period
Mp
Medical Records Parser
HLT · No. 13 of 117
What it does

Medical Records Parser in production

  • Classifies incoming faxes, scans and PDF bundles
  • OCRs handwritten and multilingual clinical notes
  • Extracts diagnoses, medications, allergies and labs
  • Maps extracted terms to SNOMED and LOINC codes
  • Writes structured FHIR resources into the EHR
  • Routes low-confidence fields to a reviewer

45-second film: the Medical Records Parser tile, an animated mockup and the KPI impact.

How it ships

Live in 6–9 weeks, inside your perimeter

Deployment options
On-premise (air-gapped)Private cloudManaged cloudHybrid
Integrates with
EpicOracle HealthInterSystems HealthShareKofaxRightFaxHyland OnBase
Technology stack
TesseractPaddleOCRLayoutLMv3scispaCyHAPI FHIR
Compliance & security
HIPAANHS IG ToolkitDPDPHITRUST CSFGDPRISO 27001

See Medical Records Parser running inside your environment

A 20-minute technical walkthrough, no slides. Ships in 6–9 weeks.

Book a walkthrough →Browse the library →