A specialized Discord bot that provides medical information assistance using Mistral AI, with support for patient records, insurance information, and medical data retrieval.

• RAG (Retrieval Augmented Generation)

  • FAISS-powered similarity search
  • Intelligent chunking of insurance information
  • Cached embeddings for performance

• Medical Data Access

  • Patient information retrieval
  • Allergy information
  • Diagnostic reports
  • Medical conditions
  • ICD-10 code assistance

• Caching System

  • Redis caching for responses (1-hour TTL)
  • File-based caching for embeddings and chunks
  • Efficient response retrieval

• FHIR Integration

  • Epic FHIR API client
  • Secure JWT authentication
  • Comprehensive medical data parsing

• Python 3.8+
• Redis server
• Conda package manager

1. Clone the repository:

git clone <repository-url>
cd <repository-directory>

2. Create and activate conda environment:

conda env create -f local_env.yml
conda activate discord_bot

3. Create a .env file with your credentials:

DISCORD_TOKEN="your-discord-token"
MISTRAL_API_KEY="your-mistral-api-key"
EPIC_TOKEN_URL="your-epic-token-url"
PRIVATE_KEY_PATH="path-to-your-private-key"

1. Create a new Discord application at https://discord.com/developers
2. Enable required intents:
   • Presence Intent
   • Server Members Intent
   • Message Content Intent
3. Copy the bot token to your .env file

1. Sign up at https://console.mistral.ai
2. Generate an API key
3. Add the API key to your .env file

1. Start the bot:

python bot.py

2. The bot will respond to messages in channels it has access to
3. Medical data queries will automatically retrieve relevant information
4. Insurance information is processed using RAG for accurate responses

• bot.py: Main Discord bot implementation
• agent.py: Mistral AI integration and RAG system
• python/:
  • patient_info_parser.py: FHIR patient data parser
  • insurance_parser.py: Insurance information parser
  • epic_fhir_client.py: Epic FHIR API client
  • parse_diagnostic_data.py: Diagnostic report parser
  • condition_parser.py: Medical condition parser
  • allergy_parser.py: Allergy information parser

• JWT-based authentication for EPIC FHIR API
• Environment variables for sensitive credentials
• Redis TTL for cached responses
• Secure private key handling

1. Fork the repository
2. Create a feature branch
3. Commit your changes
4. Push to the branch
5. Create a Pull Request

For support, please open an issue in the repository or contact Olivia Beyer Bruvik or Neel Narayan.