iamvaar

iamvaar

Automate Patient Intake & Symptom Triage with AI, Cal.com and Google Services

🚨 DISCLAIMER (READ FIRST):

This workflow is NOT HIPAA-compliant and NOT intended for production use .
It is a test/demo prototype built for experimentation, education, and non-clinical evaluation purposes only.

It does not include encryption , does not meet any regulatory standards , and must not be used with real patient data or PHI (Protected Health Information).

The creator is not liable for any misuse or damage caused by deploying this workflow in a real-world or clinical environment.


🎥 Watch the Workflow Demo: https://youtu.be/1qt3sU2o4_Y?si=oA1CizPaO66_tKnc

🔧 Workflow Summary:
This n8n workflow mimics a lightweight AI assistant for healthcare clinics by automatically analyzing patient symptoms and booking appointments. It uses no-code tools and basic AI integration to demonstrate automation potential in medical triage.


🩺 What it does:

  1. Patient submits a form ( Cal.com or webhook) with name, contact, and symptoms
  2. AI processes the symptoms (via OpenRouter) and suggests the likely issue
  3. AI assigns a relevant department like Ortho, Neuro, etc.
  4. Books the appointment on the correct Google Calendar (department-wise)
  5. Saves the patient info to a Google Sheet for tracking
  6. Skips duplicate appointments for the same patient (based on name or contact)

📦 Tools Used:
• n8n (Cloud or Self-Hosted)
• OpenRouter (GPT-based AI model)
Cal.com (Booking system)
• Google Calendar
• Google Sheets


⚠️ For a HIPAA-Compliant Version (Future-Ready Notes):

  • Self-host n8n to avoid vendor lock-in or BAA issues
  • Run LLMs locally (LLaMA, Mistral) instead of APIs
  • Replace Cal.com with a self-hosted calendar/booking tool
  • Use end-to-end encryption for PHI transmission
  • Store data in encrypted Postgres (with pgcrypto or similar)
  • Implement access control and audit logging
  • AND MANY MORE.... REFER/CONSULT RESPECTIVE AUTHORITIES FOR MORE INFO

💡 Use Case:
This demo can help founders, developers, or healthtech explorers prototype AI-assisted clinic systems without writing code — but again, strictly for mock/demo workflows only.

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