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 language | English (US) |
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Pages (from-to) | 690-698 |
Number of pages | 9 |
Journal | Mayo Clinic proceedings |
Volume | 96 |
Issue number | 3 |
DOIs | |
State | Published - Mar 2021 |
ASJC Scopus subject areas
- General Medicine