brainsait-pyheart

Open-source Healthcare Interoperability & Workflow Engine

Overview

brainsait-pyheart is a production-ready, open-source Python package for healthcare interoperability and workflow automation. Published on PyPI, it provides a comprehensive toolkit for building FHIR/HL7-compliant healthcare applications with event-driven architecture.

Installation

pip install brainsait-pyheart

Key Features

Healthcare Interoperability

  • FHIR R4 Support: Complete implementation of HL7 FHIR R4 resources
  • HL7 v2.x Processing: Parse, validate, and generate HL7 v2.x messages
  • Data Transformation: Convert between different healthcare data formats
  • Validation Engine: Ensure data compliance with healthcare standards

Event-Driven Architecture

  • Async Processing: High-performance asynchronous message handling
  • Event Bus: Pub/sub pattern for healthcare workflow automation
  • Workflow Engine: Define and execute complex healthcare workflows
  • Message Queue Integration: Support for RabbitMQ, Redis, and Kafka

Security & Compliance

  • HIPAA Compliance: Built-in safeguards for protected health information
  • Encryption: End-to-end encryption for data in transit and at rest
  • Audit Logging: Comprehensive audit trails for regulatory compliance
  • Access Control: Role-based access control (RBAC) implementation

Integration Capabilities

  • REST API Client: Easy integration with FHIR-enabled systems
  • Webhook Support: Event notifications for external systems
  • Batch Processing: Handle large-scale data migrations
  • Real-time Sync: Live data synchronization across systems

Use Cases

Hospital Information Systems

  • Integration between EMR/EHR systems
  • Lab result processing and distribution
  • Radiology report management
  • Pharmacy order routing

Insurance & Claims

  • Eligibility verification
  • Claims submission and tracking
  • Pre-authorization workflows
  • EOB (Explanation of Benefits) processing

Public Health

  • Disease surveillance reporting
  • Immunization registries
  • Syndromic surveillance
  • Contact tracing systems

Technical Architecture

from brainsait_pyheart import FHIRClient, WorkflowEngine, EventBus

# Initialize FHIR client
client = FHIRClient(base_url="https://fhir.example.com")

# Create workflow engine
engine = WorkflowEngine()

# Set up event bus
event_bus = EventBus()

# Define workflow
@engine.workflow
async def patient_admission(patient_data):
    # Create patient resource
    patient = await client.create_patient(patient_data)

    # Trigger downstream events
    await event_bus.publish("patient.admitted", patient)

    return patient

Technology Stack

  • Core: Python 3.8+
  • Async: asyncio, aiohttp
  • Validation: Pydantic, JSON Schema
  • Standards: FHIR R4, HL7 v2.x
  • Security: cryptography, PyJWT
  • Testing: pytest, pytest-asyncio

Documentation & Resources

Performance

  • Processes 10,000+ HL7 messages per second
  • Sub-millisecond FHIR resource validation
  • Horizontal scaling support
  • Memory-efficient streaming for large datasets

Contributing

brainsait-pyheart is open source and welcomes contributions from the healthcare IT community. Whether you’re fixing bugs, adding features, or improving documentation, your help is appreciated!

License

MIT License - Free for commercial and personal use

Empowering healthcare interoperability through open-source innovation.