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@article{184307,
        author = {Lakshmi Priya Darshini Pulavarthi},
        title = {Utilizing TIBCO Spotfire for Advanced Data Visualization in Clinical Data Review},
        journal = {International Journal of Innovative Research in Technology},
        year = {2025},
        volume = {12},
        number = {4},
        pages = {1149-1155},
        issn = {2349-6002},
        url = {https://ijirt.org/article?manuscript=184307},
        abstract = {TIBCO Spotfire is increasingly recognized as a vital tool for advanced data visualization in clinical trials. With the growing complexity of clinical research, there is a pressing need for interactive, real-time tools that facilitate efficient data review and early risk detection. This review synthesizes the existing literature, evaluates experimental studies, and proposes a theoretical model for the integration of Spotfire across the clinical data lifecycle. We present key use cases, performance metrics, and future innovations, including AI-enhanced dashboards and decentralized trial integration. The findings reveal that Spotfire significantly enhances trial oversight, operational efficiency, and regulatory readiness. By aligning human-centric design with technological innovation, Spotfire is poised to redefine how clinical data is visualized and acted upon.},
        keywords = {TIBCO Spotfire; Clinical Data Visualization; Risk-Based Monitoring; AI in Clinical Trials; Data Review Efficiency; Interactive Dashboards; EDC Integration; Regulatory Compliance; Decentralized Trials; Clinical Operations Intelligence},
        month = {September},
        }