FhirFlame - Medical AI Platform
๐ฅ๐ฅ FhirFlame: Medical AI Data Processing Tool
This prototype demonstrates enterprise-grade medical AI architecture patterns, FHIR compliance workflows, and agent-to-agent communication for healthcare data intelligence - designed for technology evaluation and development purposes.
Key Features
- Dockerized modular Healthcare AI Platform
- Local/Cloud/Hybrid System Deployment depending on needs and available hardware (Optimized for local use on 4090 or on Huggingface Space Nvidia L4 or on Modal Labs, to unlock dynamically scaling infrastructure)
- A2A/MCP Server json communication via FastAPI (Auth0 ready)
- TDD with integrated set of tests to keep HL7 standards (FHIR R4/R5 compliant output)
- NLP data extraction tested on real validation data (text -> formatted JSON)
- Optional Mistral OCR
- DICOM files Processing
- Local first design: tested with CodeLlama13b (Nvidia L4/4090 optimized) or any model from HuggingFace HUB
- PostgreSQL-First Design with In-Memory Compatibility and Job Management
- Gradio frontend for smooth UI experience
- Langfuse for better logging and system health tracking
Live Demo
Security & Compliance
Healthcare Standards
- HL7 standards: Fully FHIR R4/R5 compliant
- HIPAA Considerations: Built-in audit logging
- Zero-Dummy-Data: Production-safe entity extraction
- Medical AI Ethics - Responsible healthcare AI development: local & open source first
Security Features
- JWT Authentication: Secure API access
- Audit Trails: Complete interaction logging
- Container Isolation: Docker security boundaries
- Environment Secrets: Secure configuration management
Multi-Provider AI & Environment Configuration
Provider Configuration Options
- ๐ FREE Local Development (No API Keys Required)
- ๐ Production Cloud Scaling (Optional API Keys)
- ๐ Monitoring & Analytics (Optional)
Intelligent Provider Routing
- Ollama Local: Development and sensitive data ($0.00/request)
- Modal Labs, designed for L4 GPU: Production dynamic scaling based on workload
- HuggingFace API: Specialized medical models and fallback for ollama
- Mistral Vision API: OCR and document understanding
MCP Protocol Excellence
2 Perfect Healthcare Tools
1. process_medical_document
Real-world usage with Claude/GPT for structured FHIR bundle + extracted medical entities
2. validate_fhir_bundle
FHIR R4/R5 compliance validation with compliance score + validation details
Agent-to-Agent Medical Workflows
The system supports complex medical workflows with agent-to-agent communication through the MCP server, enabling advanced conversational interactions for medical document processing.