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@article{201575,
        author = {Vengadesh SA and Tamilselvi B and Gracy S and Veena S and Ponnunjali V},
        title = {AI INTEGRATED HEALTHCARE MANAGEMENT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2026},
        volume = {12},
        number = {12},
        pages = {4388-4393},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=201575},
        abstract = {The rapid growth of digital technologies has created a strong demand for efficient and secure healthcare management systems. Traditional methods of maintaining patient records using paper-based systems are often inefficient, error-prone, and lack proper security. This project presents a Hospital Management System, a web-based application designed to streamline the storage, access, and management of patient medical records while ensuring data privacy and controlled accessibility. The primary objective of this system is to provide a centralized platform where patients can securely upload and manage their medical records, and healthcare professionals such as doctors and lab assistants can access this data only with proper authorization. The system introduces a role-based access control mechanism, ensuring that sensitive medical information is shared only with the patient’s consent, thereby enhancing data security and trust. 
The application is developed using Python and Flask for backend processing, along with HTML, CSS, and JavaScript for the frontend interface. A relational database is used to store user data, access permissions, and record metadata, while medical files are securely stored on the server. The system also integrates a basic chatbot module to assist users with queries and improve user interaction. One of the key features of the system is its secure access management, where doctors must request permission to view patient records, and patients have full control to approve or deny such requests. Additionally, the system supports file upload functionality, feedback collection, and dynamic dashboards tailored to different user roles, ensuring a smooth and user-friendly experience. The system was thoroughly tested using unit testing, integration testing, and functional testing approaches to ensure reliability and performance. The results demonstrate that the application performs efficiently with minimal response time and maintains high data integrity and security standards. In conclusion, the Hospital Management System provides an effective solution for modern healthcare data management by combining usability, security, and scalability. The system has the potential to be deployed in hospitals, clinics, and healthcare centers, with future enhancements such as AI-based chatbot integration, cloud storage, and mobile application support further improving its capabilities},
        keywords = {UPI Fraud Detection, Machine Learning, Random Forest, Digital Payment Security, Streamlit, Real-Time Prediction, Financial Fraud.},
        month = {May},
        }