Healthcare data is protected and sensitive. Processing medical charts, patient forms, and prescription data requires more than just high accuracy—it requires absolute data privacy. SolveOCR's Enterprise Air-Gapped engine is designed for exactly this.
Medical Chart Parsing
Medical charts are notorious for:
- Handwritten Notes: Doctors' shorthand and cursive.
- Complex Forms: Multi-column layouts with checkboxes.
- High Sensitivity: Every byte of Data must be encrypted at rest and in transit.
How to extract Structured Patient Data
Using the /v1/extract endpoint with the medical-v1 model, you can instantly turn a scanned chart into a digital record:
{
"document_type": "patient_chart",
"patient_name": "John Doe",
"dob": "1985-12-10",
"diagnosis": [
"Type 2 Diabetes",
"Hypertension"
],
"prescriptions": [
{ "name": "Metformin", "dosage": "500mg", "freq": "BID" }
]
}
Security First
For hospitals and clinics, we provide On-Premise Docker deployments. This ensures your patient data never leaves your internal intranet, meeting the strictest HIPAA and GDPR requirements.