Building a Scalable AI Doctor Appointment Agent with n8n and AWS

As a developer, I recently built an AI Doctor Appointment Agent using n8n, Vector DBs, and Webhooks. The goal was to create a scalable solution that could handle a high volume of patient bookings and rescheduling requests.

Here’s a high-level overview of the architecture:

  • n8n: Used as the workflow automation engine to handle patient bookings, rescheduling, and cancellations.
  • Vector DBs: Utilized as the data storage solution for patient information and appointment schedules.
  • Webhooks: Used to receive and send notifications between n8n and the front desk staff’s digital calendar.

The entire system is hosted on AWS, ensuring a reliable and scalable infrastructure. The AI-powered appointment agent is able to sync perfectly with the digital calendar, ensuring the team always has an accurate view of the day.

Want to learn more about building a scalable AI Doctor Appointment Agent? Reach out to us for a consultation.

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