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@article{188497,
        author = {Srujal Vispute and Yash Wadhwani and Vighnesh  Gupta and Vihan Saraf},
        title = {MediTrack Pro: A Secure and Efficient MongoDB-Based Healthcare Appointment Management System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {7},
        pages = {3075-3082},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=188497},
        abstract = {This project is an example of a cloud-based Healthcare Management System that enables facilitation of the work of hospitals and enhances the interaction of patients and doctors with the help of a NoSQL database strategy. The system is created with the help of MongoDB and React as well as Node.js, which allows storing, retrieving and managing healthcare data, such as user authentication, doctor profiles, medical records, booking an appointment and billing information.
One of the contributions of this system is that it makes good use of the principles of DBMS in a NoSQL environment. Such fundamental concepts as data abstraction, schema design, indexing, data consistency checks, role-based access control, and aggregation pipelines are used to guarantee high reliability and performance. The system supports Many to Many relationships between patients and doctors which is done through an appointment collection designed specifically with databases and thus avoiding scheduling conflicts by doing validation on databases. Additional AI-assisted functionalities contribute to the clinical decision-making process by creating preventative care suggestions, risk ranking, and staffing solutions with the aid of data-informed reasoning.
The solution proposed shows how the healthcare applications may be enhanced with the flexible document-based modeling and automated decision support, not to mention that the integrity of the data and access to the sensitive medical information remains secure. The project also points out the scalable and realistic architecture which can be broadened to real hospital management and electronic health record (EHR) systems.},
        keywords = {Smart Hospital Management System, AI-based Doctor Recommendation, Online Appointment Scheduling, Healthcare Database Management, Chronic Disease Detection},
        month = {December},
        }