1 M Jyothi, 2 K Bharath, 3 U Naveen, 4 S Praneeth, 5 R Raghevendra 03 09 The Clinical Trial Enrollment Funnel Dashboard is a healthcare analytics and visualization system designed to monitor and analyze the participant enrollment process in clinical trials Clinical trials require eligible participants to move through several stages including initial outreach screening eligibility assessment consent enrollment and study participation Monitoring these stages is important for understanding recruitment progress and identifying delays or dropoffs The proposed system collects trialenrollment information such as participant screening status eligibility results consent status enrollment date study site recruitment source trial phase and other appropriate administrative information The system processes this information and calculates important indicators such as total candidates screened participants eligible participants consented participants enrolled participants enrollment rate and stagewise conversion rates The dashboard represents the enrollment process as a visual funnel allowing clinical research teams to understand how participants move from one stage to another Interactive charts graphs KPI cards and tables provide detailed information about enrollment performance Users can compare recruitment progress across study sites time periods recruitment channels and trial phases where appropriate The system can also identify stages where participant dropoff is high or enrollment is slower than expected Historical trend analysis can help research teams understand changes in recruitment performance over time These insights can support operational planning site management recruitment strategy evaluation and resource allocation without making decisions about individual participants Overall the Clinical Trial Enrollment Funnel Dashboard provides a centralized and userfriendly platform for monitoring clinical trial recruitment and enrollment performance It reduces manual reporting efforts and helps research teams understand enrollment patterns more efficiently Future enhancements can include enrollment forecasting recruitmentsource analytics automated alerts siteperformance benchmarking and carefully validated predictive analytics Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026