Medical Records Extraction
Process medical records with zero cloud risk.
ParseFlow extracts patient data, diagnoses, medications, and treatment details from clinical PDFs — entirely on your Mac. No protected health information ever leaves your device.
Before & after
The old way vs. the ParseFlow way
The old way
Medical staff manually transcribe patient records from PDFs into EHR systems. It's slow, error-prone, and creates HIPAA compliance risks when using cloud-based tools.
The ParseFlow way
ParseFlow processes medical PDFs entirely on-device. Extract patient demographics, diagnoses, medications, and lab results without any data leaving your Mac. HIPAA-friendly by architecture.
Schema
Example extraction schema
Define this schema once in ParseFlow, then reuse it across all your medical records extraction documents.
{
"patient_name": "string",
"patient_id": "string",
"date_of_visit": "date",
"provider": "string",
"diagnoses": [{
"code": "string",
"description": "string"
}],
"medications": [{
"name": "string",
"dosage": "string",
"frequency": "string"
}],
"vitals": {
"blood_pressure": "string",
"heart_rate": "number",
"temperature": "number"
},
"follow_up": "string"
}Example
Input → Output
Input (PDF)
A clinical visit note PDF with patient demographics, chief complaint, examination findings, diagnoses, prescribed medications, and follow-up instructions.
Output (Structured Data)
Patient: Jane Doe, ID: PAT-2024-1234, Visit: 2024-03-15, Provider: Dr. Smith, Diagnoses: J06.9 (Acute upper respiratory infection), Medications: Amoxicillin 500mg TID x10 days, Follow-up: 2 weeks.