Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic

In March 2020, our institution developed an interdisciplinary predictive analytics task force to provide coronavirus disease 2019 (COVID-19) hospital census forecasting to help clinical leaders understand the potential impacts on hospital operations. As the situation unfolded into a pandemic, our ta...

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Autores principales: Pollock, Benjamin D., Carter, Rickey E., Dowdy, Sean C., Dunlay, Shannon M., Habermann, Elizabeth B., Kor, Daryl J., Limper, Andrew H., Liu, Hongfang, Franco, Pablo Moreno, Neville, Matthew R., Noe, Katherine H., Poe, John D., Sampathkumar, Priya, Storlie, Curtis B., Ting, Henry H., Shah, Nilay D.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Mayo Foundation for Medical Education and Research 2021
Materias:
Special Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833949/
https://www.ncbi.nlm.nih.gov/pubmed/33673920
http://dx.doi.org/10.1016/j.mayocp.2020.12.019
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author Pollock, Benjamin D.
Carter, Rickey E.
Dowdy, Sean C.
Dunlay, Shannon M.
Habermann, Elizabeth B.
Kor, Daryl J.
Limper, Andrew H.
Liu, Hongfang
Franco, Pablo Moreno
Neville, Matthew R.
Noe, Katherine H.
Poe, John D.
Sampathkumar, Priya
Storlie, Curtis B.
Ting, Henry H.
Shah, Nilay D.
author_facet Pollock, Benjamin D.
Carter, Rickey E.
Dowdy, Sean C.
Dunlay, Shannon M.
Habermann, Elizabeth B.
Kor, Daryl J.
Limper, Andrew H.
Liu, Hongfang
Franco, Pablo Moreno
Neville, Matthew R.
Noe, Katherine H.
Poe, John D.
Sampathkumar, Priya
Storlie, Curtis B.
Ting, Henry H.
Shah, Nilay D.
collection PubMed
description In March 2020, our institution developed an interdisciplinary predictive analytics task force to provide coronavirus disease 2019 (COVID-19) hospital census forecasting to help clinical leaders understand the potential impacts on hospital operations. As the situation unfolded into a pandemic, our task force provided predictive insights through a structured set of visualizations and key messages that have helped the practice to anticipate and react to changing operational needs and opportunities. The framework shared here for the deployment of a COVID-19 predictive analytics task force could be adapted for effective implementation at other institutions to provide evidence-based messaging for operational decision-making. For hospitals without such a structure, immediate consideration may be warranted in light of the devastating COVID-19 third-wave which has arrived for winter 2020–2021.
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spelling pubmed-78339492021-01-26 Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic Pollock, Benjamin D. Carter, Rickey E. Dowdy, Sean C. Dunlay, Shannon M. Habermann, Elizabeth B. Kor, Daryl J. Limper, Andrew H. Liu, Hongfang Franco, Pablo Moreno Neville, Matthew R. Noe, Katherine H. Poe, John D. Sampathkumar, Priya Storlie, Curtis B. Ting, Henry H. Shah, Nilay D. Mayo Clin Proc Special Article In March 2020, our institution developed an interdisciplinary predictive analytics task force to provide coronavirus disease 2019 (COVID-19) hospital census forecasting to help clinical leaders understand the potential impacts on hospital operations. As the situation unfolded into a pandemic, our task force provided predictive insights through a structured set of visualizations and key messages that have helped the practice to anticipate and react to changing operational needs and opportunities. The framework shared here for the deployment of a COVID-19 predictive analytics task force could be adapted for effective implementation at other institutions to provide evidence-based messaging for operational decision-making. For hospitals without such a structure, immediate consideration may be warranted in light of the devastating COVID-19 third-wave which has arrived for winter 2020–2021. Mayo Foundation for Medical Education and Research 2021-03 2020-12-30 /pmc/articles/PMC7833949/ /pubmed/33673920 http://dx.doi.org/10.1016/j.mayocp.2020.12.019 Text en © 2021 Mayo Foundation for Medical Education and Research. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Special Article
Pollock, Benjamin D.
Carter, Rickey E.
Dowdy, Sean C.
Dunlay, Shannon M.
Habermann, Elizabeth B.
Kor, Daryl J.
Limper, Andrew H.
Liu, Hongfang
Franco, Pablo Moreno
Neville, Matthew R.
Noe, Katherine H.
Poe, John D.
Sampathkumar, Priya
Storlie, Curtis B.
Ting, Henry H.
Shah, Nilay D.
Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title_full Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title_fullStr Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title_full_unstemmed Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title_short Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic
title_sort deployment of an interdisciplinary predictive analytics task force to inform hospital operational decision-making during the covid-19 pandemic
topic Special Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7833949/
https://www.ncbi.nlm.nih.gov/pubmed/33673920
http://dx.doi.org/10.1016/j.mayocp.2020.12.019
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