Aarti Pawar
Independent Researcher
Maharashtra, India
Abstract
Clinical trials generate vast volumes of complex and multidimensional data, often making it difficult for stakeholders—such as investigators, sponsors, regulators, and data monitoring committees—to make timely and informed decisions. Data visualization tools, ranging from simple dashboards to advanced interactive graphical interfaces, have emerged as pivotal mechanisms to transform raw data into actionable insights. This manuscript examines the influence of clinical data visualization tools on stakeholder decision-making in interventional trials. By exploring the evolution of visualization methods, assessing their application in various phases of trials, and evaluating their role in safety monitoring, efficacy assessment, and protocol compliance, this study highlights how visual analytics enhance clarity, speed, and consensus in decision-making processes. The manuscript further explores technological limitations, user variability, and regulatory concerns. Insights are drawn from empirical literature, case studies, and technology assessments to establish the transformative role of visualization tools in improving trial oversight, operational efficiency, and ethical conduct.
Keywords
Clinical data visualization, interventional trials, stakeholder decision-making, graphical dashboards, data monitoring, trial oversight
References
- Amit, O., Heiberger, R. M., & Lane, P. W. (2008). Graphical approaches to the analysis of safety data from clinical trials. Pharmaceutical Statistics, 7(1), 20–35. https://doi.org/10.1002/pst.254 net
- Caban, J. J., & Gotz, D. (2015). Visual analytics in healthcare – opportunities and research challenges. Journal of the American Medical Informatics Association, 22(2), 260–262. https://doi.org/10.1093/jamia/ocv006 oup.com
- Drutar, M., & Inman, E. (2015, April). Visualizing clinical trial data: Small data, big insights (Paper SAS1888-2015). Proceedings of SAS Global Forum. SAS Institute. sas.com
- Ellenberg, S. S., Culbertson, R., Gillen, D. L., & Goodman, S. (2015). Data monitoring committees for pragmatic clinical trials. Clinical Trials, 12(5), 530–536. https://doi.org/10.1177/1740774515597697 ncbi.nlm.nih.gov
- He, Z., Carini, S., Sim, I., & Weng, C. (2015). Visual aggregate analysis of eligibility features of clinical trials. Journal of Biomedical Informatics, 54, 241–255. https://doi.org/10.1016/j.jbi.2015.01.005 ncbi.nlm.nih.gov
- Mattingly, W. A., Kelley, R., Wiemken, T. L., Chariker, J. H., Peyrani, P., & Ramirez, J. A. (2015). Real-time enrollment dashboard for multisite clinical trials. Contemporary Clinical Trials Communications, 1, 17–21. https://doi.org/10.1016/j.conctc.2015.09.001 net
- Sarkar, I. N., Butte, A. J., & Lussier, Y. A. (2016). EHDViz: Clinical dashboard development using open-source technologies for interactive analytics and real-time data monitoring. BMJ Open, 6(3), e010579. https://doi.org/10.1136/bmjopen-2015-010579 bmj.com
- Thanarajasingam, G., Atherton, P. J., Novotny, P. J., Loprinzi, C. L., Sloan, J. A., & Grothey, A. (2016). A novel approach of longitudinal adverse-event evaluation in oncology clinical trials: The Toxicity-over-Time (ToxT) analysis. The Lancet Oncology, 17(5), 663–670. https://doi.org/10.1016/S1470-2045(16)00038-3 ncbi.nlm.nih.gov
- Toddenroth, D., Sivagnanasundaram, J., Prokosch, H.-U., & Ganslandt, T. (2016). Concept and implementation of a study dashboard module for continuous monitoring of trial recruitment and documentation. Journal of Biomedical Informatics, 64, 222–231. https://doi.org/10.1016/j.jbi.2016.10.010 fau.de
- White, J. (2015). Risk-based monitoring of clinical trial sites. TRI Tribune (Fall 2015). Technical Resources International. Retrieved from https://www.tech-res.com/TRIbune/Fall-2015/TRITribune-Fall2015-Article3.html