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@article{185575,
        author = {Rajvardhan Balaji Kale and Aditya Karhadkar and Atharva Lanke and Siddhesh Katale and Anuraj Lonkar and Anurag Lonkar and Vivek Nagnath},
        title = {Smart Doctor Appointment Systems via ICT},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {5},
        pages = {2405-2412},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=185575},
        abstract = {In the changing world of digital healthcare, securely and efficiently managing patient-related documents is essential for effective medical service delivery. The growing amount of medical records, diagnostic reports, prescriptions, and personal health information poses a significant challenge for healthcare institutions regarding accessibility, security, and organization. To tackle these issues, this paper suggests developing a Point Assistance System. This system will be part of a web-based platform designed to manage patient documents. It allows for real-time upload, classification, retrieval, and management of patient files through a centralized, encrypted database that only authorized users can access.
The platform uses a role-based access control (RBAC) model. This ensures that patients, doctors, and administrators interact with the system based on their access privileges. It helps maintain data integrity and confidentiality. A point-based assistance system is included to prioritize document handling tasks. It assigns urgency levels to incoming records and supports workflow automation for healthcare staff. This feature also helps patients track their interaction history and get guided support through the system. The front end is designed with user-friendly principles for smooth navigation. The backend uses secure technologies for storage and data processing.
The system was tested in a simulated healthcare environment. Initial results show a significant improvement in document retrieval speed, user satisfaction, and data traceability compared to traditional paper-based and disorganized digital systems. The solution also meets basic healthcare data protection standards like HIPAA and GDPR, ensuring compliance and the ability to grow. This research sets the stage for future connections with Electronic Health Record (EHR) systems, machine learning-based document analysis, and mobile app support to further improve patient care through digital innovation.},
        keywords = {Information and Communication Technology (ICT), Smart Healthcare, Online Appointment System, E-Health, Telemedicine, Electronic Health Records (EHR), Patient Management.},
        month = {October},
        }