{"title":"An Investigation of Multi-server Queuing Analysis to Assess Hospital Healthcare Systems' Operational Effectiveness","authors":"Mohammed Idris Umar, M. U. Adehi, A. Auwal","doi":"10.9734/ajpas/2024/v26i3601","DOIUrl":null,"url":null,"abstract":"Prolonged wait (queue) times in medical outpatient departments are a growing concern in Nigerian hospitals/clinics, due to a variety of consequences such as overcrowding, patients leaving in anger without being attended to, and being stressed for not staying too long in the system. The primary goal of this paper is to research various techniques or methods for reducing long queues. Patients who wait for minutes, hours, days, or months to receive medical services may incur waiting costs. The time spent in the queue could have been better used elsewhere. This paper aims to determine an optimal server level while keeping total system costs to a minimum, including expected service costs and waiting costs in a multi-server system, to reduce patient congestion in the hospital. Data for the study was collected in two ways. The secondary method was first used to identify the most congested OPD among the numerous OPDs considered in the study. The performance measures costs were then calculated using primary data. The performance measures of the queuing system were calculated using TORA optimization software. MS Excel was used to calculate the costs and plot the charts. Based on the results of the analysis, it was suggested that one physician be added to the hospital's medical OPD to reduce patient overcrowding and wait times. As a result, this call for refocusing is issued to improve overall patient care in our cultural context while also meeting the needs of patients in our society.","PeriodicalId":502163,"journal":{"name":"Asian Journal of Probability and Statistics","volume":"28 28","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-03-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asian Journal of Probability and Statistics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.9734/ajpas/2024/v26i3601","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Prolonged wait (queue) times in medical outpatient departments are a growing concern in Nigerian hospitals/clinics, due to a variety of consequences such as overcrowding, patients leaving in anger without being attended to, and being stressed for not staying too long in the system. The primary goal of this paper is to research various techniques or methods for reducing long queues. Patients who wait for minutes, hours, days, or months to receive medical services may incur waiting costs. The time spent in the queue could have been better used elsewhere. This paper aims to determine an optimal server level while keeping total system costs to a minimum, including expected service costs and waiting costs in a multi-server system, to reduce patient congestion in the hospital. Data for the study was collected in two ways. The secondary method was first used to identify the most congested OPD among the numerous OPDs considered in the study. The performance measures costs were then calculated using primary data. The performance measures of the queuing system were calculated using TORA optimization software. MS Excel was used to calculate the costs and plot the charts. Based on the results of the analysis, it was suggested that one physician be added to the hospital's medical OPD to reduce patient overcrowding and wait times. As a result, this call for refocusing is issued to improve overall patient care in our cultural context while also meeting the needs of patients in our society.
在尼日利亚的医院/诊所,医疗门诊部等候(排队)时间过长是一个日益令人担忧的问题,其原因有多种,如过度拥挤、病人因得不到诊治而愤然离去,以及因在系统中停留时间过长而感到压力等。本文的主要目的是研究减少排长队现象的各种技术或方法。患者等待几分钟、几小时、几天或几个月才能获得医疗服务,可能会产生等待成本。排队时间本可以更好地用于其他方面。本文旨在确定一个最佳服务器级别,同时将系统总成本(包括多服务器系统中的预期服务成本和等待成本)保持在最低水平,以减少医院中的病人拥堵现象。研究数据通过两种方式收集。首先使用辅助方法在研究中考虑的众多手术室中找出最拥挤的手术室。然后使用原始数据计算绩效衡量成本。使用 TORA 优化软件计算排队系统的性能指标。MS Excel 用于计算成本和绘制图表。根据分析结果,建议在医院内科手术室增加一名医生,以减少病人拥挤和等候时间。因此,我们呼吁调整工作重点,以便在我们的文化背景下改善对病人的整体护理,同时满足社会中病人的需求。