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Extract Structured Data from Medical Documents with Google Gemini AI

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Created by: Louis Chan || louischan

Louis Chan

Last update

Last update 17 hours ago

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How it works

Transform medical documents into structured data using Google Gemini AI with enterprise-grade accuracy.

Classifies document types (receipts, prescriptions, lab reports, clinical notes)

  • Extracts text with 95%+ accuracy using advanced OCR
  • Structures data according to medical taxonomy standards
  • Supports multiple languages (English, Chinese, auto-detect)
  • Tracks processing costs and quality metrics automatically

Set up steps

Prerequisites

Google Gemini API key (get from Google AI Studio)

Quick setup

  1. Import this workflow template
  2. Configure Google Gemini API credentials in n8n
  3. Test with a sample medical document URL
  4. Deploy your webhook endpoint

Usage

Send POST request to your webhook:

{
  "image_url": "https://example.com/medical-receipt.jpg",
  "expected_type": "financial",
  "language_hint": "auto"
}
Get structured response:
json{
  "success": true,
  "result": {
    "documentType": "financial",
    "metadata": {
      "providerName": "Dr. Smith Clinic",
      "createdDate": "2025-01-06",
      "currency": "USD"
    },
    "content": {
      "amount": 150.00,
      "services": [...]
    },
    "quality_metrics": {
      "overall_confidence": 0.95
    }
  }
}

Use cases

Healthcare Organizations

  • Medical billing automation - Process receipts and invoices automatically
  • Insurance claim processing - Extract data from claim documents
  • Clinical documentation - Digitize patient records and notes
  • Data standardization - Consistent structured output format

System Integrators

  • EMR integration - Connect with existing healthcare systems
  • Workflow automation - Reduce manual data entry by 90%
  • Multi-language support - Handle international medical documents
  • Quality assurance - Built-in confidence scoring and validation

Supported Document Types

  • Financial: Medical receipts, bills, insurance claims, invoices
  • Clinical: Medical charts, progress notes, consultation reports
  • Prescription: Prescriptions, medication lists, pharmacy records
  • Administrative: Referrals, authorizations, patient registration
  • Diagnostic: Lab reports, test results, screening reports
  • Legal: Medical certificates, documentation forms