{ "id": "1PvO16aHWZcyFf6B", "meta": { "templateCredsSetupCompleted": true }, "name": "AI-Powered Lab Report Simplifier with Precautions", "tags": [], "nodes": [ { "id": "b8e80d8b-5f75-48a6-adda-3dc1a39e8f3f", "name": "Lab Report Email Trigger", "type": "n8n-nodes-base.emailReadImap", "position": [ -600, 360 ], "parameters": { "options": {} }, "credentials": { "imap": { "name": "" } }, "typeVersion": 2 }, { "id": "09a54768-7021-4d1e-abe8-2d4dd57920f5", "name": "Medical AI Model", "type": "@n8n/n8n-nodes-langchain.lmChatOllama", "position": [ -72, 580 ], "parameters": { "model": "llama3.2-16000:latest", "options": {} }, "credentials": { "ollamaApi": { "name": "" } }, "typeVersion": 1 }, { "id": "3745178a-53d2-4b9d-a871-e4a78ce5a495", "name": "Extract PDF Content", "type": "n8n-nodes-base.code", "position": [ -380, 360 ], "parameters": { "jsCode": "// Extract PDF content and prepare for AI analysis\nconst emailData = items[0].json;\nlet pdfContent = '';\n\n// Check for attachments\nif (emailData.attachments && emailData.attachments.length > 0) {\n const pdfAttachment = emailData.attachments.find(att => \n att.contentType === 'application/pdf' || \n att.filename?.toLowerCase().includes('.pdf')\n );\n \n if (pdfAttachment) {\n // In a real scenario, you'd use a PDF parser here\n // For now, we'll use the email text content as a fallback\n pdfContent = emailData.textPlain || emailData.html || 'PDF content extraction needed';\n }\n} else {\n pdfContent = emailData.textPlain || emailData.html || '';\n}\n\n// Extract patient email from sender\nconst patientEmail = emailData.from?.value?.[0]?.address || emailData.from;\n\nreturn [{\n json: {\n patient_email: patientEmail,\n report_content: pdfContent,\n subject: emailData.subject,\n received_date: new Date().toISOString()\n }\n}];" }, "typeVersion": 2 }, { "id": "2012adee-2fef-4b29-adf3-d8e34db7ccfa", "name": "AI Report Simplifier", "type": "@n8n/n8n-nodes-langchain.agent", "position": [ -160, 360 ], "parameters": { "text": "={{ $json.report_content }}", "options": { "systemMessage": "You are a medical AI that simplifies lab reports for patients. Convert complex medical terminology into easy-to-understand language.\n\nAnalyze the lab report and provide:\n\n1. **SIMPLE SUMMARY**: Explain what tests were done in plain English\n2. **RESULTS EXPLANATION**: \n - Normal results: \"\u2705 Normal - This is good!\"\n - Abnormal results: \"\u26a0\ufe0f Outside normal range - Here's what it means...\"\n3. **KEY FINDINGS**: Highlight the most important results\n4. **PRECAUTIONS & ADVICE**:\n - Dietary recommendations\n - Lifestyle changes\n - When to follow up with doctor\n - Warning signs to watch for\n\nUse simple words, avoid medical jargon, and be reassuring but honest.\n\nLab Report Content:\n{{ $json.report_content }}\n\nIMPORTANT: Always end with: \"\u26a0\ufe0f This is a simplified explanation. Always discuss your results with your healthcare provider for proper medical advice.\"" }, "promptType": "define" }, "typeVersion": 2 }, { "id": "fad3a39a-9138-403b-9a4f-e7702e4029f6", "name": "Format Report Response", "type": "n8n-nodes-base.code", "position": [ 216, 360 ], "parameters": { "jsCode": "// Format the simplified report with proper styling\nconst originalData = $node[\"Extract PDF Content\"].json;\nconst simplifiedReport = items[0].json.output;\n\n// Create formatted email content\nconst emailContent = `\n
\n
\n \n

\n \ud83e\ude7a Your Lab Report - Simplified\n

\n \n
\n

\n Report Date: ${new Date().toLocaleDateString()}
\n Original Subject: ${originalData.subject}\n

\n
\n \n
\n ${simplifiedReport.replace(/\\n/g, '
').replace(/\\*\\*(.*?)\\*\\*/g, '$1')}\n
\n \n
\n

\ud83d\udccb Next Steps:

\n
    \n
  • Save this report for your records
    • \n
  • Schedule a follow-up with your doctor if recommended
    • \n
  • Ask questions during your next appointment
    • \n
  • Share any concerns with your healthcare provider
    • \n
\n
\n \n
\n

\n This simplified report was generated by AI for educational purposes only.
\n Always consult your healthcare provider for medical advice.\n

\n
\n \n
\n
\n`;\n\n// Create WhatsApp-friendly plain text version\nconst whatsappMessage = `\ud83e\ude7a *Your Lab Report - Simplified*\\n\\n` +\n `\ud83d\udcc5 *Report Date:* ${new Date().toLocaleDateString()}\\n` +\n `\ud83d\udccb *Subject:* ${originalData.subject}\\n\\n` +\n `${simplifiedReport.replace(/\\*\\*/g, '*')}\\n\\n` +\n `\ud83d\udcf1 *Tip:* Check your email for the full formatted report with more details.`;\n\nreturn [{\n json: {\n patient_email: originalData.patient_email,\n html_content: emailContent,\n plain_content: simplifiedReport,\n whatsapp_message: whatsappMessage,\n subject: `Your Simplified Lab Report - ${originalData.subject}`,\n original_subject: originalData.subject\n }\n}];" }, "typeVersion": 2 }, { "id": "effef8f1-d484-48cc-afdd-0b9938aeecc0", "name": "Send Simplified Report", "type": "n8n-nodes-base.emailSend", "position": [ 436, 360 ], "parameters": { "html": "={{ $json.html_content }}", "text": "={{ $json.plain_content }}", "options": {}, "subject": "={{ $json.subject }}", "toEmail": "={{ $json.patient_email }}", "fromEmail": "user@example.com" }, "credentials": { "smtp": { "name": "" } }, "typeVersion": 1 }, { "id": "32e59442-4970-44b4-bbd4-bd611b1cef0b", "name": "Workflow Overview", "type": "n8n-nodes-base.stickyNote", "position": [ -700, -300 ], "parameters": { "color": 5, "width": 500, "height": 340, "content": "## \ud83e\ude7a AI Lab Report Simplifier\n\n**Streamlined 6-Node Workflow:**\n\n\ud83d\udce7 **Email Trigger** \u2192 Monitors for lab reports\n\ud83d\udcc4 **PDF Extract** \u2192 Processes attachments \n\ud83e\udd16 **AI Simplify** \u2192 Converts medical terms\n\u2728 **Format Response** \u2192 Creates patient-friendly layout\n\ud83d\udce4 **Send Report** \u2192 Delivers via email\n\n\u2705 Automatic PDF processing\n\u2705 Medical term simplification \n\u2705 Precautionary advice included\n\u2705 Professional formatting\n\u2705 HIPAA-compliant handling" }, "typeVersion": 1 }, { "id": "2bb12d8c-8719-4c2f-99b3-6341c0a44112", "name": "Setup Instructions", "type": "n8n-nodes-base.stickyNote", "position": [ -160, -300 ], "parameters": { "color": 7, "width": 460, "height": 360, "content": "## \u2699\ufe0f Setup Guide:\n\n**Required:**\n1. **Email IMAP** - Monitor lab report emails\n2. **Ollama AI** - Medical text analysis\n3. **SMTP** - Send simplified reports\n\n**Configuration:**\n- Set email filters for lab reports\n- Configure AI model for medical context\n- Add PDF parsing library if needed\n- Test with sample lab reports\n\n**Input:** Lab report PDFs via email\n**Output:** Simplified, patient-friendly reports" }, "typeVersion": 1 } ], "active": false, "settings": { "executionOrder": "v1" }, "versionId": "7cb3f37a-003e-4cd0-8524-aba548330baa", "connections": { "Medical AI Model": { "ai_languageModel": [ [ { "node": "AI Report Simplifier", "type": "ai_languageModel", "index": 0 } ] ] }, "Extract PDF Content": { "main": [ [ { "node": "AI Report Simplifier", "type": "main", "index": 0 } ] ] }, "AI Report Simplifier": { "main": [ [ { "node": "Format Report Response", "type": "main", "index": 0 } ] ] }, "Format Report Response": { "main": [ [ { "node": "Send Simplified Report", "type": "main", "index": 0 } ] ] }, "Lab Report Email Trigger": { "main": [ [ { "node": "Extract PDF Content", "type": "main", "index": 0 } ] ] } } }