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Review
. 2021 Mar;96(3):690-698.
doi: 10.1016/j.mayocp.2020.12.019. Epub 2020 Dec 30.

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

Mayo Clinic COVID-19 Predictive Analytics Task Force; Benjamin D Pollock  1 , Rickey E Carter  2 , Sean C Dowdy  3 , Shannon M Dunlay  4 , Elizabeth B Habermann  5 , Daryl J Kor  6 , Andrew H Limper  7 , Hongfang Liu  8 , Pablo Moreno Franco  9 , Matthew R Neville  10 , Katherine H Noe  11 , John D Poe  12 , Priya Sampathkumar  13 , Curtis B Storlie  5 , Henry H Ting  12 , Nilay D Shah  5
Collaborators, Affiliations
Review

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

Mayo Clinic COVID-19 Predictive Analytics Task Force et al. Mayo Clin Proc. 2021 Mar.

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.

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Figures

Figure 1
Figure 1
Four-week historical forecast and performance of internally developed Bayesian coronavirus disease 2019 (COVID-19) census model. The forecast for the hospital census at Mayo Clinic Rochester (RST) is broken up by floor and intensive care unit (ICU). Median predictions are represented in blue, whereas the actual observed data is red.
Figure 2
Figure 2
Weekly dashboard showing modeled personal protective equipment supply on-hand (SOH) at Mayo Clinic.
See this image and copyright information in PMC

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