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@article{175891,
        author = {Jai Adithyan B and Jeeva Manikandan R R and Kalaiselvi S},
        title = {Smart Healthcare Ledger and Prediction System},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {11},
        number = {11},
        pages = {4404-4409},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=175891},
        abstract = {The healthcare industry continues to suffer from issues like fragmented patient records, ineffective real-time communication among care providers, and ineffective scheduling of appointments. These issues typically result in the delay in the delivery of care and administrative hassles for the provider. To solve these issues, this paper suggests an end-to-end healthcare management system that consolidates medical records, facilitates smooth communication among doctors and patients, and facilitates intelligent scheduling of appointments based on real-time monitoring of availability. This paper outlines the system architecture, implementation strategies, and potential real-world impact on healthcare services.},
        keywords = {Smart Healthcare System, Disease Prediction using Machine Learning, Healthcare Data Management, Doctor - Patient Communication, Appointment Scheduling System.},
        month = {April},
        }