A clinic appointment automation concept exploring how voice-based AI can make scheduling faster, clearer, and less dependent on manual front-desk coordination.
Medora explores a voice-first workflow for clinic appointment scheduling. The idea is to let patients request appointments conversationally, receive available time slots, confirm a selection, and handle simple rescheduling cases through an AI voice assistant.
The project was built as an exploration of the intersection between healthcare workflows and technology.
- ☎️ Voice-based appointment scheduling
- 📅 Finding and confirming suitable appointment slots
- 🔄 Basic rescheduling and unavailable-slot handling
- 🤖 Conversational AI for patient-facing interactions
- 🔗 Connecting a voice assistant with telephony infrastructure
- 🏥 Reducing repetitive scheduling work for clinic staff
- Twilio — phone and SMS infrastructure
- Omnidimension — AI voice-agent layer
- FastAPI — backend/API layer
- OpenAI — intelligent response generation
Prototype / technical exploration
The repository currently focuses on documenting the setup and integration workflow rather than presenting a production-ready clinical system. It is a project exploring how these technologies can be combined for a practical healthcare use case.
The available guides cover the initial voice and telephony setup:
Medora was an experiment in applying software and AI to a real-world healthcare workflow. The project helped explore how conversational interfaces, automation, and backend services could work together around a practical problem.