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

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish (US)
Pages (from-to)690-698
Number of pages9
JournalMayo Clinic proceedings
Volume96
Issue number3
DOIs
StatePublished - Mar 2021

ASJC Scopus subject areas

  • Medicine(all)

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