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@article{181025,
        author = {Ch Prasanthi and D Vijay Kumar and K Sudhakar and A Venkanna},
        title = {Graph Database Solutions: Revolutionizing Healthcare Records Management for Efficiency and Scalability},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {1},
        pages = {3520-3526},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=181025},
        abstract = {The revolutionary possibilities of graph database systems for healthcare records administration are investigated in this article. Issues with scalability and inefficiency originate from the fact that traditional healthcare systems are ill-equipped to handle the massive amounts of interrelated patient data. The potential answer is provided by graph databases, which enable efficient and flexible data modelling through the representation of data as interconnected nodes and edges. This study explains the main features and advantages of graph database systems in healthcare environments by reviewing the literature, case studies, and approaches in the field. Graph databases are the focus here because of their ability to provide scalable data storage and retrieval, advanced querying and analysis, and seamless integration of various data sources. In addition, the article explores real-world issues including privacy, security, and performance optimisation to make sure that healthcare organisations may use graph database technology legally and keep their data safe. This paper offers a roadmap for researchers and practitioners to fully utilise graph database solutions for efficient and scalable healthcare records management by analysing emerging trends and unresolved challenges. It provides insights into the future directions of these systems.},
        keywords = {Graph Database, Healthcare Records Management, Efficiency, Scalability, Data Modeling},
        month = {June},
        }