An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system

An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinical, operational, financial and supply chain leaders...

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Autores principales: Chertok, Daniel, Konchak, Chad, Shah, Nirav, Singh, Kamaljit, Au, Loretta, Hammernik, Jared, Murray, Brian, Solomonides, Anthony, Wang, Ernest, Halasyamani, Lakshmi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528335/
https://www.ncbi.nlm.nih.gov/pubmed/34669732
http://dx.doi.org/10.1371/journal.pone.0258710
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author Chertok, Daniel
Konchak, Chad
Shah, Nirav
Singh, Kamaljit
Au, Loretta
Hammernik, Jared
Murray, Brian
Solomonides, Anthony
Wang, Ernest
Halasyamani, Lakshmi
author_facet Chertok, Daniel
Konchak, Chad
Shah, Nirav
Singh, Kamaljit
Au, Loretta
Hammernik, Jared
Murray, Brian
Solomonides, Anthony
Wang, Ernest
Halasyamani, Lakshmi
author_sort Chertok, Daniel
collection PubMed
description An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinical, operational, financial and supply chain leaders and executives of a comprehensive healthcare system responsible for making decisions that depend on epidemiological contingencies. This paper describes the model that was implemented at NorthShore University HealthSystem and is applicable to any communicable disease whose risk of reinfection for the duration of the pandemic is negligible.
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spelling pubmed-85283352021-10-21 An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system Chertok, Daniel Konchak, Chad Shah, Nirav Singh, Kamaljit Au, Loretta Hammernik, Jared Murray, Brian Solomonides, Anthony Wang, Ernest Halasyamani, Lakshmi PLoS One Research Article An operationally implementable predictive model has been developed to forecast the number of COVID-19 infections in the patient population, hospital floor and ICU censuses, ventilator and related supply chain demand. The model is intended for clinical, operational, financial and supply chain leaders and executives of a comprehensive healthcare system responsible for making decisions that depend on epidemiological contingencies. This paper describes the model that was implemented at NorthShore University HealthSystem and is applicable to any communicable disease whose risk of reinfection for the duration of the pandemic is negligible. Public Library of Science 2021-10-20 /pmc/articles/PMC8528335/ /pubmed/34669732 http://dx.doi.org/10.1371/journal.pone.0258710 Text en © 2021 Chertok et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://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
Chertok, Daniel
Konchak, Chad
Shah, Nirav
Singh, Kamaljit
Au, Loretta
Hammernik, Jared
Murray, Brian
Solomonides, Anthony
Wang, Ernest
Halasyamani, Lakshmi
An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title_full An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title_fullStr An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title_full_unstemmed An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title_short An operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
title_sort operationally implementable model for predicting the effects of an infectious disease on a comprehensive regional healthcare system
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528335/
https://www.ncbi.nlm.nih.gov/pubmed/34669732
http://dx.doi.org/10.1371/journal.pone.0258710
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