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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Veröffentlicht in:	Mayo Clinic proceedings 2021-03, Vol.96 (3), p.690-698
Hauptverfasser:	Amrami, Kimberly, Domnick, Robert, Heinzen, Ethan, Helfinstine, Karen, Jayakumar, Ajay, Johnson, Patrick, Knepper, Camille, Marcelletti, David, Mickelson, Mindy, Rojas, Ricardo, St. George, Mark, Tande, Aaron, Walvatne, Kelli, Wutthisirisart, Phichet, 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.
Format:	Artikel
Sprache:	eng
Schlagworte:	Administration Control Coronaviruses COVID-19 - epidemiology COVID-19 - therapy Decision Making Disease Management Epidemics Evidence-based medicine Forecasting Forecasts and trends Hospitals Hospitals - statistics & numerical data Humans Intensive Care Units - statistics & numerical data Machine learning Pandemics SARS-CoV-2 Special Task forces
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