https://github.com/chai-dev682/medical-voice-agent
https://github.com/chai-dev682/medical-voice-agent
Last synced: 3 months ago
JSON representation
- Host: GitHub
- URL: https://github.com/chai-dev682/medical-voice-agent
- Owner: chai-dev682
- Created: 2025-03-05T13:43:03.000Z (3 months ago)
- Default Branch: main
- Last Pushed: 2025-03-06T17:10:39.000Z (3 months ago)
- Last Synced: 2025-03-06T18:25:14.167Z (3 months ago)
- Language: Python
- Size: 15.6 KB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# AI-Powered Voice Agent for Medical Practice
## Overview
This project is a prototype for an AI-powered voice agent designed to handle incoming calls for a medical practice. It focuses on demonstrating the voice interaction workflow for appointment scheduling and management using advanced AI technologies.
## Core Features
### Voice Interaction
- Real-time voice conversations using ElevenLabs' conversational AI
- Natural language understanding and response generation
- Seamless voice-to-text and text-to-voice conversion
### Appointment Management
- New appointment scheduling
- Appointment rescheduling capability
- Intelligent conversation flow detection
- Integration with Oystehr EHR system
- Automated appointment confirmation via SMS
### Smart Routing
- Automated detection of conversation intent
- Intelligent human handoff for complex scenarios
- Warm transfer capability to human staff
- Conference call setup for smooth transitions
### EHR Integration
- Direct integration with Oystehr EHR system
- Patient record creation and lookup
- Appointment creation and updates
- Schedule management
## Technologies Used
### Core Services
- **ElevenLabs**: Voice generation and conversational AI
- **Twilio**: Call handling and SMS functionality
- **Oystehr**: EHR integration and appointment management
- **OpenAI**: Natural language processing and understanding
### Backend Stack
- FastAPI: Modern, fast web framework
- WebSocket: Real-time audio streaming
- Pydantic: Data validation
- Langchain: AI/LLM integration framework
## Setup Requirements
1. Clone the repository:
```bash
git clone https://github.com/chai-dev682/medical-voice-agent.git
cd medical-voice-agent
```
2. Create a virtual environment:
```bash
python -m virtualenv venv
source venv/bin/activate # On Windows: venv\Scripts\activate
```
3. Install Dependencies:
```bash
pip install -r requirements.txt
```
4. Run the Application:
```bash
python manage.py
```
5. Start ngrok tunnel:
```bash
┌──────────────────────────────────────────────────┐
│ 1. Install ngrok from https://ngrok.com │
│ 2. Open terminal and run: │
│ $ ngrok http 5000 │
│ │
│ 📋 Copy the Forwarding URL: │
│ https://[your-ngrok-subdomain].ngrok.app │
│ or │
│ https://[your-ngrok-subdomain].ngrok-free.app│
└──────────────────────────────────────────────────┘
```
6. Configure Twilio:
```bash
┌──────────────────────────────────────────────────┐
│ Update Twilio Webhook URL: │
│ 1. Go to Twilio Console │
│ 2. Find your phone number │
│ 3. Set Webhook URL to your ngrok URL │
└──────────────────────────────────────────────────┘
```
7. Call your Twilio phone number and test the application.
## Key Workflows
1. **New Appointment Scheduling**
- Voice interaction for gathering patient details
- Automatic appointment slot allocation
- EHR record creation
- SMS confirmation
2. **Appointment Rescheduling**
- Existing appointment identification
- Patient verification
- New slot allocation
- EHR record update
- Confirmation notification
3. **Human Handoff**
- Automatic detection of complex scenarios
- Warm transfer to human staff
- Conference call setup
- Context preservation
## Project Structure
```
app/
├── core/
│ ├── config.py # Configuration settings
│ ├── logger.py # Logging setup
│ └── prompt_templates/ # AI prompt templates
├── routers/
│ └── main.py # Main API routes
├── services/
│ ├── appointment.py # Appointment management
│ ├── oystehr.py # EHR integration
│ ├── twilio_sms.py # SMS functionality
│ └── twilio_audio_interface.py # Audio handling
├── schemas/
│ └── appointment.py # Data models
└── utils/ # Utility functions
```
## Future Enhancements
- Advanced appointment availability checking
- Multi-language support
- Enhanced security measures
- Comprehensive logging and monitoring
- Additional EHR integrations