1 M Jyothi, 2 P Sai Ganesh, 3 G Abhinay, 4 P Maneesh, 5 S Shruthi 03 09 Patient waiting time is an important operational measure used to understand the efficiency of healthcare services Long waiting periods may occur because of high patient volume appointment delays registration procedures limited staff availability or inefficient service workflows Analyzing waitingtime information can help healthcare facilities understand where delays occur and identify areas that require improvement The Patient WaitTime Analysis system is designed to collect process analyze and visualize patientflow and waitingtime information The system can use data such as patient arrival time registration time appointment time consultation start time department doctor and service completion time These records are processed to calculate individual and overall waiting durations The system analyzes important measures such as average waiting time minimum waiting time maximum waiting time patient volume service duration and departmentwise performance Waitingtime trends can be examined across different dates time periods departments doctors and service stages Peak hours can also be identified by analyzing patient arrival patterns and waitingtime variations An interactive dashboard can present the analyzed information using charts graphs tables and key performance indicators Users can apply filters to examine specific departments doctors dates or service stages This makes it easier to identify departments or periods where patients experience longer waiting times Overall the project demonstrates how data analytics and visualization can support healthcare operational management The system provides a centralized method for understanding patientflow patterns and service delays The insights generated from the analysis can support better scheduling staff allocation resource planning and service monitoring Therefore the Patient WaitTime Analysis system provides a useful analytical approach for improving healthcare service efficiency and reducing unnecessary patient waiting Copyright (c) Journal of Science Engineering Technology and Management Science. All rights reserved 2026