FhirFlame - Medical AI Technology Demonstration

⚡ Multi-Provider AI & Environment Setup

🆓 Free Local Development

No API keys required for local testing:

USE_REAL_OLLAMA=true
OLLAMA_BASE_URL=http://localhost:11434
OLLAMA_MODEL=codellama:13b-instruct

🤗 HuggingFace Medical AI

Specialized medical models from HuggingFace Hub:

HF_TOKEN - See HuggingFace pricing
BioBERT, ClinicalBERT & medical domain models
Enterprise inference endpoints & model fallback

🚀 HuggingFace Hosting

Deploy & host FhirFlame on HuggingFace:

HF_TOKEN - Free hosting available
HF Spaces integration - Direct deployment
Public & private space options

⚡ Modal GPU Scaling

Serverless GPU auto-scaling with Modal Labs:

MODAL_TOKEN_ID
MODAL_TOKEN_SECRET
L4 GPU instances - See Modal Labs pricing

🔍 Vision & OCR Processing

Advanced document processing with Mistral:

MISTRAL_API_KEY
Multimodal AI for medical imaging & text extraction

📊 Monitoring & Analytics

Enterprise observability with Langfuse:

LANGFUSE_SECRET_KEY
LANGFUSE_PUBLIC_KEY
Real-time job tracking & analytics

Why Choose FhirFlame

Real-World Performance Data

2.3s

Average processing time
for clinical notes

100%

FHIR R4/R5 compliance
score validation

High

Medical entity
extraction accuracy

$0.00

Cost for local development
with Ollama

🏥

Healthcare-Grade Standards

FHIR R4/R5 Compliant: 100% compliance score with real healthcare validation. Seamless EHR integration and HL7 standards support for production environments.

✓ Zero-dummy-data policy
✓ Healthcare professional validated
✓ Production-ready compliance

⚡

Smart Cost Optimization

Multi-Provider Intelligence: Start free with local Ollama ($0.00), scale with multi Modal Labs L4, or use specialized providers when needed.

💰 Free development environment
🚀 Auto-scale for production
🎯 Intelligent routing optimization

🔌

AI Agent Ready

Official MCP Server: Built-in Model Context Protocol with 2 specialized healthcare tools. Seamless Claude/GPT integration for automated medical workflows.

🤖 process_medical_document()
✅ validate_fhir_bundle()
🔄 Agent-to-agent communication

📊

Enterprise Monitoring

PostgreSQL + Langfuse: Production-grade job management with real-time analytics, audit trails, and comprehensive healthcare compliance tracking.

📈 Real-time dashboard
🔍 Complete audit trails
📋 Healthcare compliance logs

📄

Medical Document Intelligence

Advanced OCR + Entity Extraction: Mistral Vision OCR with high-accuracy medical entity extraction. Conditions, medications, vitals, and patient data extraction.

📋 Clinical notes processing
🧪 Lab report analysis
📸 Radiology report extraction

🔒

Healthcare Security

HIPAA-Aware Architecture: Container isolation, JWT authentication, local processing options, and comprehensive security for healthcare environments.

🛡️ HIPAA considerations
🔐 Secure authentication
🏠 Local processing available

Enterprise Healthcare Workflow Schema

Multi-Agent Healthcare Processing Pipeline

                        ┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐    ┌──────────────────┐
│  📄 Document   │───▶│ 🤖 MCP Server   │───▶│ ⚡ AI Provider │───▶│  🏥 FHIR Engine │
│   Input Layer   │    │  Agent Router    │    │   Selection     │    │   Validation     │
└─────────────────┘    └──────────────────┘    └─────────────────┘    └──────────────────┘
         │                       │                       │                       │
         ▼                       ▼                       ▼                       ▼
┌─────────────────┐    ┌──────────────────┐    ┌─────────────────┐    ┌──────────────────┐
│ • PDF/DICOM     │    │ • Tool Selection │    │ • Ollama Local  │    │ • R4/R5 Bundles  │
│ • Clinical Text │    │ • Job Tracking   │    │ • Modal L4 GPU  │    │ • 100% Compliant │
│ • Lab Reports   │    │ • PostgreSQL Log │    │ • Mistral OCR   │    │ • Entity Mapping │
└─────────────────┘    └──────────────────┘    └─────────────────┘    └──────────────────┘
                                │
                                ▼
                    ┌──────────────────────────┐
                    │    📊 Langfuse Monitor   │
                    │  • Real-time Analytics   │
                    │  • Audit Trail Logging   │
                    │  • Performance Metrics   │
                    └──────────────────────────┘
                    

📄 Document Ingestion

• Multi-format Support: PDF, DICOM, TXT, DOCX
• OCR Processing: Mistral Vision API
• Text Extraction: pydicom + PyMuPDF
• Quality Validation: Pre-processing checks

🤖 MCP Agent Routing

• Tool Selection: process_medical_document()
• Provider Routing: Cost-optimized selection
• Job Management: PostgreSQL persistence
• State Tracking: Real-time status updates

⚡ AI Processing Layer

• Entity Extraction: Medical NLP models
• Clinical Analysis: CodeLlama 13B Instruct
• Scaling Logic: Ollama → Modal L4 → HF
• Performance Monitor: Langfuse integration

🏥 FHIR Compliance Engine

• Bundle Generation: R4/R5 compliant JSON
• Validation Engine: 100% compliance scoring
• Schema Mapping: HL7 standard conformance
• Output Format: EHR-ready structured data

2.3s

Clinical Note Processing

100%

FHIR R4/R5 Compliance

Container Architecture