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Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets

机译:使用定时彩色培养网的Covid-19大流行病中心脏诊所患者工作流程的模拟与改进

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摘要

The COVID-19 epidemic has spread across the world within months and creates multiple challenges for healthcare providers. Patients with cardiovascular disease represent a vulnerable population when suffering from COVID-19. Most hospitals have been facing difficulties in the treatment of COVID-19 patients, and there is a need to minimise patient flow time so that staff health is less endangered, and more patients can be treated. This article shows how to use simulation techniques to prepare hospitals for a virus outbreak. The initial simulation of the current processes of the heart clinic first identified the bottlenecks. It confirmed that the current workflow is not optimal for COVID-19 patients; therefore, to reduce waiting time, three optimisation scenarios are proposed. In the best situation, the discrete-event simulation of the second scenario led to a 62.3% reduction in patient waiting time. This is one of the few studies that show how hospitals can use workflow modelling using timed coloured Petri nets to manage healthcare systems in practice. This technique would be valuable in these challenging times as the health of staff, and other patients are at risk from the nosocomial transmission.
机译:Covid-19流行病在几个月内传播了世界各地,并为医疗保健提供者创造了多种挑战。心血管疾病的患者在患有Covid-19时代表脆弱的人群。大多数医院在治疗Covid-19患者的困难方面都面临困难,并且需要尽量减少患者流量时间,以便员工健康较少濒临灭绝,并且可以治疗更多的患者。本文展示了如何使用仿真技术为病毒爆发做好医院。心脏诊所目前过程的初始模拟首先鉴定了瓶颈。它确认当前的工作流程对于Covid-19患者来说是不适的;因此,为了减少等待时间,提出了三种优化方案。在最佳情况下,第二场景的离散事件模拟导致患者等待时间减少62.3%。这是少数学习之一,展示医院如何使用工作流程模型使用定时彩色培养网在实践中管理医疗保健系统。这种技术在这些挑战时间内是有价值的,因为工作人员的健康,其他患者面临着神经传输的风险。

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