Answer patient enquiries for a clinic by chat
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
The author built a voice AI for a dental clinic that books, reschedules and cancels appointments, checks slots and answers common questions.
The author built a voice AI for a dental clinic that books, reschedules and cancels appointments, checks slots and answers common questions.
The builder describes a six-part setup: an always-on voice agent handles booking, rescheduling, cancellations, slot checks, and routine questions, while urgent calls trigger a Telegram alert to the doctor. Calls are then analyzed with GPT-4 and logged into Supabase CRM, and bookings sync with Calcom; the automations run in self-hosted n8n with ElevenLabs/Vapi for voice.
The stated outcome was fewer missed calls, a measurable drop in no-shows, and automatic reactivation of patients idle for 90+ days, but the post gives no hard metrics. In comments, the author also says HIPAA was not required where they live, and compliance was the main concern readers raised.
The most concrete catch is compliance: the author says HIPAA did not apply where they live, so anyone copying this for a US clinic would need to solve privacy and healthcare compliance first.
Build a voice assistant for [dental clinic name] that answers incoming calls, books, reschedules and cancels appointments in [calendar system], checks open slots, and answers common questions about [hours, services, insurance]. Hand off to a human for [emergencies or complex cases]. Before it sends any confirmation text or email, show me a sample for approval, and finish by walking me through a test call.
An n8n and Gemini agent receives patient chat messages, keeps context, uses clinic info from Google Sheets and responds to enquiries.
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