Literature DB >> 33673920

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

Benjamin D Pollock1, Rickey E Carter2, Sean C Dowdy3, Shannon M Dunlay4, Elizabeth B Habermann5, Daryl J Kor6, Andrew H Limper7, Hongfang Liu8, Pablo Moreno Franco9, Matthew R Neville10, Katherine H Noe11, John D Poe12, Priya Sampathkumar13, Curtis B Storlie5, Henry H Ting12, Nilay D Shah5.   

Abstract

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.
Copyright © 2021 Mayo Foundation for Medical Education and Research. Published by Elsevier Inc. All rights reserved.

Entities:  

Year:  2020        PMID: 33673920     DOI: 10.1016/j.mayocp.2020.12.019

Source DB:  PubMed          Journal:  Mayo Clin Proc        ISSN: 0025-6196            Impact factor:   7.616


  3 in total

1.  Transition matrices model as a way to better understand and predict intra-hospital pathways of covid-19 patients.

Authors:  Arnaud Foucrier; Jules Perrio; Johann Grisel; Pascal Crépey; Etienne Gayat; Antoine Vieillard-Baron; Frédéric Batteux; Tobias Gauss; Pierre Squara; Seak-Hy Lo; Matthias Wargon; Romain Hellmann
Journal:  Sci Rep       Date:  2022-10-20       Impact factor: 4.996

2.  Impact of the Coronavirus Disease 2019 (COVID-19) Vaccine on Asymptomatic Infection Among Patients Undergoing Preprocedural COVID-19 Molecular Screening.

Authors:  Aaron J Tande; Benjamin D Pollock; Nilay D Shah; Gianrico Farrugia; Abinash Virk; Melanie Swift; Laura Breeher; Matthew Binnicker; Elie F Berbari
Journal:  Clin Infect Dis       Date:  2022-01-07       Impact factor: 9.079

3.  Understanding Health Care Administrators' Data and Information Needs for Decision Making during the COVID-19 Pandemic: A Qualitative Study at an Academic Health System.

Authors:  Christina Guerrier; Cara McDonnell; Tanja Magoc; Jennifer N Fishe; Christopher A Harle
Journal:  MDM Policy Pract       Date:  2022-03-29
  3 in total

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