QUEUING THEORY AND ITS APPLICATION TO HEALTHCARE

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Summary

From the study, the experimental findings are as follows: 

1. The number of arrival and length of story calculation based on average data could be misleading sometimes because in some cases they do not meet the actual healthcare capacity requirement. Since single average arrival length of stay is assumed for all days throughout a giving period of study and operational rate and pattern of arrival differ and there is daily variation in length of stay over same period. Therefore, healthcare administrators and policy makers using mainly average arrival and length of stay may result in frequent operational difficulties. The immediate effect is overcrowding, admitting patients in alternative clinical space or flair and/or refused admission. 

2.   Based on our interview and responses from the administered questionnaire we found that staffing (inadequate medical personal) is another problem confronting the healthcare as a whole. 

3.   University of Benin Healthcare Department findings show that 0.417% patient averagely arrived in 60 minutes (1 hour) with an average waiting time of 0.34minutes. This is derived from the information provided by the healthcare database. The average number of customers waiting in the queue and the average time a customer spends waiting in line are 0.16 and 0.34 respectively. 

4.   The general findings represent a common phenomenon that can be found in similar healthcare centers which provide large percentage of healthcare centers because most of the findings are the result of structural model of queuing system.

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