Automate Medical Record Processing with OCR and Intelligent Data Extraction
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Streamline your medical record workflows by automatically extracting critical information from documents using advanced OCR technology. This n8n workflow securely uploads files, processes them with Mistral AI, and organizes the extracted data into a Google Sheet for easy access and analysis.
About This Workflow
This powerful n8n workflow, 'Medical Records OCR Automation V1', revolutionizes how you handle medical documents. It begins with a simple form submission, allowing users to upload documents for processing. The workflow then securely transmits these documents to Mistral AI for Optical Character Recognition (OCR), leveraging their advanced capabilities to interpret the text within your medical records. Following OCR, it retrieves a secure, time-limited URL for the processed document. The core intelligence lies in the subsequent OCR request, which extracts structured data from the document, including patient details, visit information, symptoms, diagnoses, and more. Finally, the extracted data is seamlessly integrated into a Google Sheet, creating a centralized and easily searchable database of your medical records.
Key Features
- Effortless Document Upload: Initiate processing with a simple form submission.
- Secure AI-Powered OCR: Utilize Mistral AI for accurate text extraction from medical documents.
- Intelligent Data Structuring: Automatically identify and organize key medical information like patient ID, diagnoses, and symptoms.
- Seamless Google Sheets Integration: Export extracted data to a Google Sheet for easy management and analysis.
How To Use
- Set up the Form Trigger: Configure the 'On form submission' node with your desired form title and fields, ensuring a 'file' type field is present for document uploads.
- Connect Mistral AI: Authenticate the 'Upload to Mistral' and 'Get Signed URL' nodes using your Mistral AI API credentials.
- Configure OCR Processing: In the 'Get OCR Results' node, ensure the
document_urlis correctly referencing the output from the previous step (e.g.,{{ $json.url }}). Themodelcan be adjusted if newer OCR models become available. - Integrate with Google Sheets: Authenticate the 'Google Sheets' node with your Google account. Map the extracted data fields from the OCR results to the corresponding columns in your Google Sheet. You may need to adjust the
valueexpressions in thecolumnsparameter based on the structure of your OCR output.
Apps Used
Workflow JSON
{
"id": "f09a7a31-1467-4fab-8a2d-c9355616e30f",
"name": "Automate Medical Record Processing with OCR and Intelligent Data Extraction",
"nodes": 25,
"category": "Operations",
"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: f09a7a31-1467...
About the Author
Crypto_Watcher
Web3 Developer
Automated trading bots and blockchain monitoring workflows.
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