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A model of workflow in the hospital during a pandemic to assist management
We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the perform...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703995/ https://www.ncbi.nlm.nih.gov/pubmed/33253323 http://dx.doi.org/10.1371/journal.pone.0242183 |
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author | Garbey, Marc Joerger, Guillaume Furr, Shannon Fikfak, Vid |
author_facet | Garbey, Marc Joerger, Guillaume Furr, Shannon Fikfak, Vid |
author_sort | Garbey, Marc |
collection | PubMed |
description | We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France’s data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic. |
format | Online Article Text |
id | pubmed-7703995 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-77039952020-12-03 A model of workflow in the hospital during a pandemic to assist management Garbey, Marc Joerger, Guillaume Furr, Shannon Fikfak, Vid PLoS One Research Article We present a computational model of workflow in the hospital during a pandemic. The objective is to assist management in anticipating the load of each care unit, such as the ICU, or ordering supplies, such as personal protective equipment, but also to retrieve key parameters that measure the performance of the health system facing a new crisis. The model was fitted with good accuracy to France’s data set that gives information on hospitalized patients and is provided online by the French government. The goal of this work is both practical in offering hospital management a tool to deal with the present crisis of COVID-19 and offering a conceptual illustration of the benefit of computational science during a pandemic. Public Library of Science 2020-11-30 /pmc/articles/PMC7703995/ /pubmed/33253323 http://dx.doi.org/10.1371/journal.pone.0242183 Text en © 2020 Garbey et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Garbey, Marc Joerger, Guillaume Furr, Shannon Fikfak, Vid A model of workflow in the hospital during a pandemic to assist management |
title | A model of workflow in the hospital during a pandemic to assist management |
title_full | A model of workflow in the hospital during a pandemic to assist management |
title_fullStr | A model of workflow in the hospital during a pandemic to assist management |
title_full_unstemmed | A model of workflow in the hospital during a pandemic to assist management |
title_short | A model of workflow in the hospital during a pandemic to assist management |
title_sort | model of workflow in the hospital during a pandemic to assist management |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7703995/ https://www.ncbi.nlm.nih.gov/pubmed/33253323 http://dx.doi.org/10.1371/journal.pone.0242183 |
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