Welcome to Bharat Seva+, an advanced healthcare management system designed to revolutionize healthcare delivery through scalable, high-performance, and secure backend solutions. Bharat Seva+ focuses on digitizing health records, analyzing health data to predict risks, and simplifying interactions between healthcare providers and patients. This project incorporates a Healthcare Portal and a Client (Patient) Portal to deliver a seamless and user-friendly experience.
- System Design & Scalability: Built using a microservices architecture, Bharat Seva+ is designed for high performance and scalability, making it adaptable to large-scale deployments.
- Asynchronous Task Processing: Utilizes RabbitMQ for task queues, ensuring reliable message and notification processing.
- Health Data Analytics (Upcoming): Plans to integrate advanced health data analysis with deep learning for personalized insights and risk prediction.
- Secure Data Storage & Caching:
- PostgreSQL: For structured data, such as appointment logs and activity tracking.
- MongoDB: For patient records and unstructured data.
- Redis: For caching and rate-limiting to enhance response time and control access.
- Traffic Management: Nginx acts as a reverse proxy and load balancer to ensure seamless scalability and redundancy.
- Real-time Monitoring: Prometheus and Grafana monitor system performance, resource usage, and critical health metrics.
- CI/CD Pipelines: GitHub workflows and Docker Compose streamline the deployment process.
Bharat Seva+ consists of two primary applications:
-
Healthcare Interface
Portal for healthcare professionals to manage patient logs, biodata, health records, and other essential information. -
Client Interface
Patient-facing portal where clients can access records, book appointments, and interact with healthcare services.
-
Log Health Records Digitally
Enables both healthcare providers and patients to log and securely store health data, from vital signs to lab results, accessible anytime from the cloud. -
Simplified Appointment Scheduling
Patients can book appointments with healthcare providers through the portal, removing the need for paper-based scheduling. -
Predictive Health Insights (Coming Soon)*
Planned updates will incorporate health data analysis for personalized insights, trends, and proactive health management. -
Data Security and Accessibility
Health records are securely stored and accessible when needed, enabling easy sharing with healthcare providers. -
Health Data Analysis for Risk Prediction (Coming Soon)*
Advanced data analysis (with future deep learning integration) will analyze health trends to predict potential risks, helping users avoid adverse health events.
- Frontend: React.js, Tailwind CSS
- Backend: Express.js, Python, Golang
- Database: PostgreSQL, MongoDB, Redis, RabbitMQ
- Authentication: OAuth 2.0, JWT for secure session management
- Golang Healthcare Server for high-performance, scalable service management
- NGINX for traffic distribution and load balancing
- Docker for containerization of services
- MongoDB for patient record storage
- RabbitMQ for asynchronous task processing
- Redis for caching and rate limiting
- Python Consumer Service for processing logs, appointment updates, and email notifications
- PostgreSQL for efficient data querying and analytics
- Express-based Client Server for patient portal access
- OAuth 2.0 & JWT for secure authentication
- Prometheus and Grafana for real-time performance monitoring and visualization
- Goal: Scale to accommodate 50 million users 🚀
- Deep Learning model to predict future health anomalies
- Elasticsearch for efficient healthcare data search functionality
- Implement a deep learning model to analyze health data and predict future risks, providing personalized healthcare recommendations
- Continuously refactor and optimize code for maintainability and scalability
The main challenge is implementing a health data analysis model to predict risks and provide actionable insights. From writing maintainable code to handling scalability, Bharat Seva+ is a continuous journey of learning and improvement, with a focus on leveraging the open-source community’s support. Stay tuned for exciting updates!
Bharat Seva+ is built to transform healthcare management for both providers and patients. This platform simplifies health record management, improves data accessibility, and paves the way for proactive healthcare.
Check out the CONTRIBUTING.md
file for details on how to get started. Join the discussions if you have questions or ideas.
Happy coding!
Project developed and managed by Vaibhav Yadav