A comprehensive, enterprise-level healthcare API and microservices system built with Python and Django. This project demonstrates production-ready patterns, security, scalability, and compliance features suitable for healthcare applications.
This system follows a microservices architecture with the following key components:
- API Gateway: Central entry point for all client requests
- Microservices: Domain-specific services for healthcare entities
- Shared Libraries: Common functionality across services
- Infrastructure: Container orchestration and deployment
healthcare-api/
├── services/ # Microservices
│ ├── patient-service/ # Patient management
│ ├── provider-service/ # Healthcare provider management
│ ├── appointment-service/ # Appointment scheduling
│ ├── medical-records-service/# Electronic health records
│ ├── prescription-service/ # Prescription management
│ ├── billing-service/ # Insurance and billing
│ ├── notification-service/ # Notifications and alerts
│ └── analytics-service/ # Healthcare analytics
├── shared/ # Shared components
│ ├── common/ # Common utilities
│ ├── authentication/ # Auth framework
│ ├── database/ # Database utilities
│ └── messaging/ # Message queue utilities
├── api-gateway/ # API Gateway implementation
├── infrastructure/ # Infrastructure as Code
│ ├── docker/ # Docker configurations
│ └── kubernetes/ # K8s manifests
├── tests/ # Integration tests
├── docs/ # Documentation
└── scripts/ # Utility scripts
- Python 3.11+
- Docker & Docker Compose
- PostgreSQL
- Redis
-
Clone and navigate to project
cd /home/linuxdev1/PracticeApps/APIPractice -
Create virtual environment
python3 -m venv venv source venv/bin/activate -
Install dependencies
pip install -r requirements.txt pip install -r requirements-dev.txt
-
Set up environment variables
cp .env.example .env # Edit .env with your configuration -
Run database migrations
python manage.py migrate
-
Start development server
python manage.py runserver
- Patients: Demographics, medical history, preferences
- Providers: Doctors, nurses, specialists, facilities
- Appointments: Scheduling, calendar integration, reminders
- Medical Records: EHR, imaging, lab results, treatments
- Prescriptions: Medication management, drug interactions
- Billing: Insurance claims, payments, reporting
- HIPAA compliance and security
- Role-based access control
- Audit logging
- Real-time notifications
- Analytics and reporting
- Integration APIs
- Python 3.11+
- Django 4.2+ & Django REST Framework
- PostgreSQL (Primary database)
- Redis (Caching & sessions)
- Celery (Background tasks)
- RabbitMQ (Message queue)
- Docker (Containerization)
- Kubernetes (Orchestration)
- Nginx (Reverse proxy)
- Prometheus & Grafana (Monitoring)
- pytest (Testing)
- Black (Code formatting)
- flake8 (Linting)
- mypy (Type checking)
- Comprehensive Features - Complete feature list
- API Documentation - OpenAPI specifications
- Architecture Guide - System design details
- Deployment Guide - Production deployment
# Run all tests
pytest
# Run with coverage
pytest --cov=.
# Run specific service tests
pytest services/patient-service/tests/
# Run integration tests
pytest tests/integration/- HIPAA compliance measures
- Data encryption (at rest and in transit)
- JWT-based authentication
- Role-based access control
- Audit logging
- Security headers
- Input validation
- Health check endpoints
- Prometheus metrics
- Distributed tracing
- Log aggregation
- Error tracking
- Performance monitoring
docker-compose up -dkubectl apply -f infrastructure/kubernetes/- Fork the repository
- Create a feature branch
- Make your changes
- Add tests
- Submit a pull request
This project is licensed under the MIT License - see the LICENSE file for details.
For questions or support, please contact the development team or create an issue in the repository.
Note: This is a comprehensive learning project designed to demonstrate enterprise-level API and microservices development with healthcare domain focus.