Automates patient health monitoring by analyzing submitted health data via AI, determining alert necessity, and notifying family and doctors when critical conditions detected.
Webhook receives health data, AI agent analyzes vitals using OpenRouter with structured parsing. Conditional logic checks alert necessity. If yes: prepares data, emails family, checks doctor criteria, sends doctor email, merges results. If no: skips alerts. Combines outcomes and responds to webhook.
Webhook → Extract Data → AI Agent → [OpenRouter + Memory + Parser] → Check Alert → [Prepare + Email Family + Check Doctor + Email Doctor] OR [No Alert] → Merge → Combine → Respond
Configure webhook endpoint with auth token. Add OpenRouter API key and select model. Set up AI Agent with Memory Tool and Output Parser. Connect Gmail/SMTP for notifications with recipient addresses. Configure alert thresholds (temp >38.5°C, BP >140/90, HR <60/>100). Set doctor notification criteria.
n8n instance, OpenRouter API key, AI model access, Patient database, Gmail/SMTP credentials, Family contacts, Doctor contacts, Webhook authentication
Chronic Disease: Diabetic submits glucose readings. AI detects >250mg/dL, alerts family and endocrinologist. Elderly Care: Senior's vitals monitored via wearable. AI identifies irregular rhythm, emails caregiver and cardiologist.
Adjust thresholds by demographics. Add vital types (O2, glucose trends). Customize AI prompts for conditions. Integrate SMS via Twilio. Add escalation logic. Include medication tracking. Connect EHR systems. Implement frequency limits. Add dashboard reporting.
Rapid Response: Detects emergencies in seconds. Intelligent Filtering: Prevents false alarms. Family Peace: Automated notifications keep loved ones informed. Clinical Efficiency: