Patient intake and routing — with AI assessment

A patient request goes through an AI urgency assessment, is routed to a suitable doctor automatically, the schedule is emailed to the doctor, and after the visit the patient gets a feedback request.

  • The AI assesses each request's urgency
  • A doctor is matched automatically from the list
  • The schedule is emailed to the doctor
  • After the visit the patient gets a feedback request
WebhookGoogle Sheets
Set it up for yourselfScriptera

How it works

Automating Mandrill and Webhook takes no code: a ready-made scenario does the routine for you.

  1. Starts when: 🔔 Patient Lead Webhook
  2. Then: 🗂️ Format Patient Data
  3. Then: 🤖 AI Triage Agent
  4. Then: ⚙️ Normalize Triage Output
  5. Then: 📝 Save Triage to Patient Forms Sheet
  6. Then: 🧠 Azure OpenAI – Triage Model
  7. Starts when: 📊 New Patient Row Trigger
  8. Then: 🤖 AI Doctor Assignment Agent
  9. Then: ⚙️ Normalize Assignment Output
  10. Then: 📝 Save Assignment to Appointments Sheet
  11. Then: 📋 Fetch Appointments for Doctor Email
  12. Then: ⚙️ Build Doctor Schedule Email HTML
  13. Then: 📧 Send Schedule Email to Doctor
  14. Then: 🧠 Azure OpenAI – Assignment Model
  15. Then: 📋 Fetch Doctor List from Sheet
  16. Starts when: ⏰ Hourly Feedback Schedule Trigger
  17. Then: 📋 Fetch All Appointments for Feedback
  18. Check: 🔀 Filter Completed Visits
  19. If yes: 📧 Send Feedback Email to Patient

You can launch this Mandrill + Webhook integration in Scriptera: describe the task in plain words — the scenario is built, launched and monitored for you.

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