Comparing 2 Appointment Scheduling Policies Using Discrete-Event Simulation

Abstract

Background and Objectives: Two of the most important policies for dealing with the negative effects of high rates of no-show patients and appointment cancellations include double-booking and walk-in admission policies. This study aimed to compare these policies to identify their differences and their effects as well as the best circumstances for using each one. Methods: The main approach used in this study was discrete-event simulation using the Arena software application. Moreover, the average waiting time (considering patients' lateness) and the number of missed patients (considering no-show and cancelled patients) were accounted for in the performance evaluation criteria for both of the selected policies. Results: When the patients' arrival rate was high, the double-booking system resulted in higher productivity, while when it was low, the walk-in admission policy was the best policy for patient admission. The successful appointment rates of the current system, the walk-in admission system, and the double-booking system were 61.18%, 89.45%, and 93.24%, respectively. Conclusions: Although both double-booking and walk-in policies reduced the negative effects of cancelled and no-show patients, they had significantly different results in different situations. In general, there is no best system for appointment scheduling, and the choice of the superior system depends on the demand rate and its fluctuations.