Automated AI Medical Report Generator
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Automatically extract key details from incoming medical reports via email, process them with AI, and store them efficiently in Google Sheets. This workflow also prepares the data for dynamic generation of structured reports in Google Docs, saving valuable time and reducing manual data entry errors.
About This Workflow
Streamline your medical data management with this powerful n8n workflow. It intelligently monitors your Gmail for specific doctor emails, then uses a Google Gemini-powered AI Agent to precisely extract crucial information like patient name, diagnosis, doctor's name, and phone number. The extracted data is meticulously cleaned, structured, and appended to a Google Sheet for easy record-keeping and analysis. Furthermore, the workflow prepares this data for seamless integration into Google Docs, enabling you to automatically generate formatted medical reports. This automation dramatically reduces manual effort, enhances data accuracy, and ensures quick access to critical patient information, making it ideal for clinics, hospitals, or individual practitioners.
Key Features
- Automated Email Monitoring: Triggers automatically upon receiving medical reports from a specified sender in Gmail.
- AI-Powered Data Extraction: Leverages Google Gemini to accurately extract specific fields (patient name, diagnosis, contact, date) from unstructured email content.
- Structured Data Storage: Organizes and appends extracted medical report details into a customizable Google Sheet.
- Dynamic Report Generation: Prepares data for automated creation or updating of structured medical documents in Google Docs (partial implementation in snippet, ready for full configuration).
- Data Cleaning & Formatting: Includes a code step to parse and clean AI output, ensuring consistent JSON data for subsequent steps.
- Customizable Extraction Logic: The AI prompt is fully editable to tailor data extraction rules to your specific needs.
How To Use
- Gmail Trigger: Connect your Gmail account and specify the exact email address (e.g.,
your-doctor-email@example.com) from which you expect to receive medical reports. Configure the polling frequency to check for new emails. - Edit Fields: This node automatically extracts the raw text content of the email. No configuration is typically needed here unless you wish to rename the output field.
- AI Agent: Customize the
textparameter with a detailed prompt instructing the AI to extract the specific data points you need (e.g.,patient_name,diagnosis,doctor_name,phone_number,date) and define the desired JSON output format. - Google Gemini Chat Model: Connect your Google Gemini (PaLM) API credentials. The
models/gemini-2.0-flash-litemodel is pre-selected for optimal performance. - Code: This node is pre-configured to parse the AI agent's output, removing any markdown formatting (like ) and converting it into a clean JSON object. No user configuration is usually required.
- Append row in sheet: Connect your Google Sheets account. Select the target Google Sheet document and the specific sheet (e.g.,
Sheet2). Carefully map the extracted AI fields (e.g.,{{ $json.date }}toDatecolumn,{{ $json.diagnosis }}toDiagnosescolumn, etc.) to their respective spreadsheet columns. - Update a document1 (Google Docs): Connect your Google Docs account. Configure a template Google Doc with placeholders (e.g.,
{{date}},{{patient_name}},{{diagnosis}}). Set up the node to replace these placeholders with the corresponding data extracted by the AI and processed in earlier steps, dynamically generating or updating your medical reports.
Apps Used
Workflow JSON
{
"id": "9d8c0cc8-9a38-4110-9102-71bcec5e3474",
"name": "Automated AI Medical Report Generator",
"nodes": 27,
"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: 9d8c0cc8-9a38...
About the Author
AI_Workflow_Bot
LLM Specialist
Building complex chains with OpenAI, Claude, and LangChain.
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