Analysis of emergency department waiting lines

Q4 Medicine
Urška Močnik, M. Gradisar, Luka Tomat
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引用次数: 1

Abstract

Background : Steady increase in the numbers of patients seeking medical assistance has recently been observed at the emergency department of the health center under study. This has led to increases in waiting times for patients. The management of the health center has been considering to implement certain measures to remedy this situation. One proposed solution is to add an additional physician to the emergency department. A computer model was constructed to simulate waiting lines and analyze the economic feasibility of employing an additional physician. Aim : This paper analyzes the waiting lines at the emergency department and performs an economic feasibility study to determine whether adding an additional physician to the department would be economically justified. Methods : Data about waiting times at the emergency department were collected to study the situation. For each patient, the arrival time at the waiting room and the starting and ending times of the examination were registered. The data were collected from 13 June 2011 to 25 September 2011. The sample included data on 65 nightly standbys, nine standbys on Saturdays, and 16 standbys on Sundays. Due to incomplete entries, data for nine weekly standbys and six Saturday standbys were excluded from the sample. Based on the data collected, we calculated the waiting and examination times per patient, average number of patients, average waiting time, average examination time, share of active standby teams in total standby time, and number of patients in different time periods. The study involved 1,039 patients. Using a synthesis method, we designed a computer model of waiting lines and economic feasibility. The model was validated using comparative analysis. A what-if analysis was performed using various computer simulations with various scenarios to consider the outcomes of decision alternatives. We applied economic analysis to select the best possible solution. Results : The research results show that emergency department teams face overcrowding at certain periods. This is particularly challenging for employees performing 24-hour standbys, when they are working at the limit of their capacity. The results show that the total cost of waiting lines with two physicians is higher in all cases. The introduction of an additional channel or employing an additional physician increases the total cost by 35 to 50 %. Employing an additional physician is therefore not economically justified. Conclusion : This study showed how a computer model can be used to improve the information basis for decision-making in healthcare organization management. Based on quantitative data obtained by using a model with alternative scenarios, we developed an economic analysis of alternatives and made a decision. The cost analysis of potentially employing an additional physician showed that the cost would exceed the benefits obtained in all scenarios analyzed. The proposed decision-support method can be implemented at a very low cost in all healthcare organizations dealing with similar problems.
急诊科排队情况分析
背景:最近在研究中的卫生中心急诊科观察到寻求医疗援助的患者数量稳步增加。这导致了患者等待时间的增加。保健中心的管理部门一直在考虑采取某些措施来纠正这种情况。一个建议的解决方案是在急诊科增加一名额外的医生。建立了一个计算机模型来模拟排队等候,并分析雇用额外医生的经济可行性。目的:本文分析了急诊科的排队情况,并进行了经济可行性研究,以确定在急诊科增加一名额外的医生是否在经济上是合理的。方法:收集急诊科候诊时间的相关数据进行调查。记录每位患者到达候诊室的时间以及检查的开始和结束时间。数据收集于2011年6月13日至2011年9月25日。样本包括65个夜间备用、9个周六备用和16个周日备用的数据。由于条目不完整,9个每周备用数据和6个周六备用数据被排除在样本之外。根据收集到的数据,我们计算了每个患者的等待和检查次数,平均患者人数,平均等待时间,平均检查时间,活跃备用团队占总备用时间的份额,以及不同时间段的患者人数。这项研究涉及1039名患者。采用综合分析的方法,设计了排队等候的计算机模型和经济可行性。通过对比分析对模型进行了验证。使用各种计算机模拟和各种场景进行了假设分析,以考虑决策备选方案的结果。我们运用经济分析来选择可能的最佳解决方案。结果:研究结果表明,急诊科队伍在一定时期面临人满为患的问题。这对24小时待命的员工来说尤其具有挑战性,因为他们的工作能力已经到了极限。结果表明,在所有情况下,两名医生排队等候的总成本都更高。引入额外的渠道或雇用额外的医生会使总成本增加35%至50%。因此,雇用额外的医生在经济上是不合理的。结论:利用计算机模型提高医疗机构管理决策的信息基础。基于使用备选方案模型获得的定量数据,我们对备选方案进行了经济分析并做出了决策。潜在的额外雇用一名医生的成本分析表明,在所有分析的情况下,成本将超过所获得的收益。所提出的决策支持方法可以在处理类似问题的所有医疗保健组织中以非常低的成本实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
0.30
自引率
0.00%
发文量
65
审稿时长
4-8 weeks
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