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

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 pat...

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Autores principales: Zeinalnezhad, Masoomeh, Chofreh, Abdoulmohammad Gholamzadeh, Goni, Feybi Ariani, Klemeš, Jiří Jaromír, Sari, Emelia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699255/
https://www.ncbi.nlm.nih.gov/pubmed/33227940
http://dx.doi.org/10.3390/ijerph17228577
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author Zeinalnezhad, Masoomeh
Chofreh, Abdoulmohammad Gholamzadeh
Goni, Feybi Ariani
Klemeš, Jiří Jaromír
Sari, Emelia
author_facet Zeinalnezhad, Masoomeh
Chofreh, Abdoulmohammad Gholamzadeh
Goni, Feybi Ariani
Klemeš, Jiří Jaromír
Sari, Emelia
author_sort Zeinalnezhad, Masoomeh
collection PubMed
description 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.
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spelling pubmed-76992552020-11-29 Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets Zeinalnezhad, Masoomeh Chofreh, Abdoulmohammad Gholamzadeh Goni, Feybi Ariani Klemeš, Jiří Jaromír Sari, Emelia Int J Environ Res Public Health Article 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. MDPI 2020-11-19 2020-11 /pmc/articles/PMC7699255/ /pubmed/33227940 http://dx.doi.org/10.3390/ijerph17228577 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Zeinalnezhad, Masoomeh
Chofreh, Abdoulmohammad Gholamzadeh
Goni, Feybi Ariani
Klemeš, Jiří Jaromír
Sari, Emelia
Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title_full Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title_fullStr Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title_full_unstemmed Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title_short Simulation and Improvement of Patients’ Workflow in Heart Clinics during COVID-19 Pandemic Using Timed Coloured Petri Nets
title_sort simulation and improvement of patients’ workflow in heart clinics during covid-19 pandemic using timed coloured petri nets
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7699255/
https://www.ncbi.nlm.nih.gov/pubmed/33227940
http://dx.doi.org/10.3390/ijerph17228577
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