STATISTICAL ANALYSIS ON QUEUING SYSTEM IN PATIENTS’ SERVICE DELIVERY: A CASE STUDY OF JOS UNIVERSITY TEACHING HOSPITAL (JUTH)
Abstract
ABSTRACT
The effect of queuing in relation to the time spent by patients to access clinical services has increasingly become a major concern for healthcare providers. Long waiting times can result in higher patient waiting costs, while providing excessive service capacity leads to unnecessary operational costs. In this study, queuing theory was applied to the Jos university teaching hospital JUTH, to investigate the relationship between inter-arrival rate and service rate with the aim of minimizing patient queues. Data were collected through direct observation. The analysis revealed that the arrival rate was 0.0788, the service rate was 0.0546, and the average inter-arrival time was 12.69 minutes. Since the arrival rate exceeded the service rate, the queuing process was found to be unstable. Furthermore, the correlation between inter-arrival time and service time was 0.0003156, indicating no significant relationship between them. Based on these findings, it is recommended that the hospital should consider increasing the number of doctors during peak hours and optimizing appointment scheduling to reduce patient waiting times and improve service delivery.
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