设计RFID/IoT原型,以改善covid - 19测试中心的日常运营

Maïzi, Bendavid
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引用次数: 0

摘要

在本研究中,我们提出了一种基于智能体和离散事件的混合仿真模型,结合RFID/IoT基础设施,用于改进位于蒙特利尔地区的covid - 19测试中心。这项研究很重要,因为确定医疗保健业务的最佳能力始终是一项挑战,特别是在大流行模式下。事实上,在这种情况下,所有的管理者都更关心日常运作的有效性,而不是效率。尽管这可能是有意义的,而且在很大程度上是可以接受的,但它可能会导致严重的情况,这取决于当前形势的发展。为了提高covid - 19检测中心的绩效,需要很好地了解物流流程,并了解每天的患者流入和不同的资源利用情况。我们提出了一种RFID/IoT基础设施,可以捕获测试中心的实时数据,并使其可用于我们的混合仿真模型。该模型利用实时数据持续调整考试中心的容量。这项研究是在蒙特利尔地区进行的一个更大项目的一部分,我们设计和开发数字双胞胎模块,以协助不同的医疗保健单位,如急诊科、covid - 19疫苗接种中心和covid - 19测试中心。©2021作者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Designing a RFID/IoT prototype for improving COVID19 test centers daily operations
In this research paper, we propose a hybrid agent-based and discrete-event simulation model coupled with a RFID/IoT infrastructure for improving COVID19 test centers located in Montreal region. This study is important, since defining an optimal capacity for healthcare operations is always a challenge, especially in a pandemic mode. Indeed, in such situations, all managers are more concerned by the effectiveness of daily operations regardless their efficiency. Even though, this can be meaningful and largely acceptable, it could lead to critical situations depending on how the current situation may evolve. To improve the performance of COVID19 test centers, it requires a good understanding of logistics flows and a visibility on daily patient inflows and different resource utilization. We propose a RFID/IoT infrastructure that captures test centers real time data and make them available to be used by our hybrid simulation model. The model uses real time data to continuously adjust test centers capacity. This study is part of a bigger project conducted in Montreal region where we design and develop Digital Twins modules to assist different healthcare units such as emergency departments, COVID19 vaccination centers as well as COVID19 test centers. © 2021 The Authors.
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