Extract structured data from medical documents with Google Gemini AI

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: 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