Department of Public Health, University Hospital of Naples Federico II, 80131 Naples, Italy.
Materials and Production Engineering, Department of Chemical, University of Naples "Federico II", 80125 Naples, Italy.
Int J Environ Res Public Health. 2020 Feb 7;17(3):1052. doi: 10.3390/ijerph17031052.
Healthcare is one of the most complex systems to manage. In recent years, the control of processes and the modelling of public administrations have been considered some of the main areas of interest in management. In particular, one of the most problematic issues is the management of waiting lists and the consequent absenteeism of patients. Patient no-shows imply a loss of time and resources, and in this paper, the strategy of overbooking is analysed as a solution. Here, a real waiting list process is simulated with discrete event simulation (DES) software, and the activities performed by hospital staff are reproduced. The methodology employed combines agile manufacturing and Six Sigma, focusing on a paediatric public hospital pavilion. Different scenarios show that the overbooking strategy is effective in ensuring fairness of access to services. Indeed, all patients respect the times dictated by the waiting list, without "favouritism", which is guaranteed by the logic of replacement. In a comparison between a real sample of bookings and a simulated sample designed to improve no-shows, no statistically significant difference is found. This model will allow health managers to provide patients with faster service and to better manage their resources.
医疗保健是最难管理的系统之一。近年来,流程控制和公共管理建模被认为是管理的主要关注点之一。特别是,最具问题性的问题之一是等待名单的管理以及患者随之而来的缺勤问题。患者失约意味着时间和资源的损失,在本文中,分析了超额预订策略作为解决方案。在这里,使用离散事件仿真 (DES) 软件模拟真实的等待名单流程,并复制医院工作人员执行的活动。所采用的方法结合了敏捷制造和六西格玛,重点关注儿科公立医院馆。不同的场景表明,超额预订策略在确保服务公平获得方面是有效的。实际上,所有患者都遵守等待名单规定的时间,没有“偏袒”,这是由替换逻辑保证的。在真实预订样本与旨在减少失约的模拟样本之间的比较中,没有发现统计学上的显著差异。该模型将使卫生管理人员能够为患者提供更快的服务,并更好地管理其资源。