Bedaya V2
Patient Management & Analytics System for a Charity
Year
2025
Service
Fullstack Web Developement
Category
Analytics System
Tool
Nodejs, Mongodb, nextJs
What is Bedaya?
Developed a robust, data-intensive Patient Management System as a community project for a charity, designed to efficiently manage patient records and provide critical insights. Leveraging Node.js for its high concurrency handling capabilities, the system features comprehensive admin panels, dynamic analytics dashboards, an intuitive query builder, and extensive reporting functionalities. This solution empowers the charity with real-time data access, advanced analytical tools, and the ability to generate detailed reports, significantly improving operational efficiency and supporting better patient care decisions.
Project Evolution: Version 2.0
This Node.js implementation represents Version 2.0 of the patient management system. The initial Version 1.0 was developed using Flutter; however, it encountered significant challenges related to scalability and performance under high data loads and concurrent user access, necessitating a complete re-architecture and rebuild to meet the charity's growing operational demands.
What is Bedaya?
Developed a robust, data-intensive Patient Management System as a community project for a charity, designed to efficiently manage patient records and provide critical insights. Leveraging Node.js for its high concurrency handling capabilities, the system features comprehensive admin panels, dynamic analytics dashboards, an intuitive query builder, and extensive reporting functionalities. This solution empowers the charity with real-time data access, advanced analytical tools, and the ability to generate detailed reports, significantly improving operational efficiency and supporting better patient care decisions.
Project Evolution: Version 2.0
This Node.js implementation represents Version 2.0 of the patient management system. The initial Version 1.0 was developed using Flutter; however, it encountered significant challenges related to scalability and performance under high data loads and concurrent user access, necessitating a complete re-architecture and rebuild to meet the charity's growing operational demands.
