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

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Created by: iamvaar || iamvaar

iamvaar

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Last update 2 days ago

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🚨 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.