FhirFlame - Medical AI Platform

๐Ÿ”ฅ๐Ÿฅ 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

Live Demo Project Website

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

  • ๐Ÿ†“ FREE Local Development (No API Keys Required)
  • ๐Ÿš€ Production Cloud Scaling (Optional API Keys)
  • ๐Ÿ“Š 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.