Optimization of Waiting Time in Healthcare Systems Using Queuing Models

Abstract

The effective management of patient flow is an essential component of healthcare systems, with the primary objectives of minimizing congestion and improving service delivery. The purpose of this research is to investigate the utilization of queuing models, such as M/M/1 and M/M/c, in order to optimize waiting times in hospitals and emergency departments. In order to reduce bottlenecks and enhance resource utilization, various techniques are offered after conducting an analysis of patient arrival patterns, service rates, and system capacity. The use of optimized queuing models has the potential to result in improved patient experiences, decreased stress levels among medical staff, and an overall improvement in the efficiency of healthcare delivery. Furthermore, the research highlights the significance of simulation and data-driven approaches in the process of refining queuing strategies for dynamic healthcare environments.