Automate Medical Document Analysis with Google Gemini AI
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Leverage Google Gemini AI to automatically classify and extract structured data from various medical documents. Achieve over 95% text extraction accuracy and significantly reduce manual processing time.
About This Workflow
This n8n workflow revolutionizes medical document processing by integrating the power of Google Gemini AI. It intelligently classifies diverse document types, from receipts and prescriptions to complex clinical reports, with an impressive 95%+ text extraction accuracy. Supporting multi-language documents, this solution transforms unstructured text into a standardized JSON output, making it ideal for automating critical tasks like medical billing, insurance claims processing, and clinical data extraction. Experience a remarkable 90% reduction in manual work, streamline operations, and ensure data consistency and compliance. The workflow is designed for ease of use, requiring only your Google Gemini API key to get started.
Key Features
- Intelligent Document Classification: Automatically categorizes documents into predefined medical taxonomies (financial, clinical, prescription, etc.).
- High-Accuracy Text Extraction: Utilizes advanced OCR to capture all visible text with over 95% accuracy.
- Multi-Language Support: Processes documents in various languages, with optional language hints for improved performance.
- Structured JSON Output: Delivers extracted data and classifications in a clean, machine-readable JSON format.
- Cost-Effective Processing: Operates at an estimated cost of $0.01-$0.05 per document.
How To Use
- Obtain Google Gemini API Key: Visit Google AI Studio to generate your API key.
- Add Credentials to n8n: Navigate to n8n's credentials section and add your Google Gemini API key.
- Import Workflow: Import this n8n workflow JSON snippet into your n8n instance.
- Configure Webhook: The 'Webhook Input' node is pre-configured with the path 'analyze-medical-document'. Ensure your external systems can send POST requests to this endpoint.
- Test with Image URL: Send a POST request to your n8n webhook with a JSON payload containing the
image_urlof a medical document. Optionally includeexpected_typeandlanguage_hintfor better accuracy. - Review Output: The workflow will process the image, classify the document, extract text, and return structured JSON data.
Apps Used
Workflow JSON
{
"id": "885416e4-a7ba-461a-ba9f-46c29e8b38f0",
"name": "Automate Medical Document Analysis with Google Gemini AI",
"nodes": 10,
"category": "Marketing",
"status": "active",
"version": "1.0.0"
}Note: This is a sample preview. The full workflow JSON contains node configurations, credentials placeholders, and execution logic.
Get This Workflow
ID: 885416e4-a7ba...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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