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Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic.
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.
  • Pollock BD; Department of Quality, Experience, and Affordability, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL; Department of Neurology, Mayo Clinic, Phoenix, AZ. Electronic address: Pollock.Benjamin@Mayo.Edu.
  • Carter RE; Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL; Department of Neurology, Mayo Clinic, Phoenix, AZ.
  • Dowdy SC; Department of Obstetrics and Gynecology, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Jacksonville, FL; Department of Neurology, Mayo Clinic, Phoenix, AZ.
  • Dunlay SM; Department of Cardiovascular Medicine, Mayo Clinic, Rochester, MN; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Habermann EB; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
  • Kor DJ; Department of Data and Analytics, Mayo Clinic, Rochester, MN.
  • Limper AH; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN.
  • Liu H; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
  • Franco PM; Department of Quality, Experience, and Affordability, Mayo Clinic, Rochester, MN; Department of Critical Care Medicine, Mayo Clinic, Jacksonville, FL.
  • Neville MR; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN.
  • Noe KH; Department of Quality, Experience, and Affordability, Mayo Clinic, Rochester, MN; Department of Neurology, Mayo Clinic, Phoenix, AZ.
  • Poe JD; Department of Quality, Experience, and Affordability, Mayo Clinic, Rochester, MN.
  • Sampathkumar P; Division of Infectious Diseases, Mayo Clinic, Rochester, MN.
  • Storlie CB; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
  • Ting HH; Department of Quality, Experience, and Affordability, Mayo Clinic, Rochester, MN.
  • Shah ND; Department of Health Sciences Research and Robert D. and Patricia E. Kern Center for the Science of Health Care Delivery, Mayo Clinic, Rochester, MN; Department of Health Sciences Research, Mayo Clinic, Rochester, MN.
Mayo Clin Proc ; 96(3): 690-698, 2021 03.
Article in English | MEDLINE | ID: covidwho-1002862
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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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Management / Decision Making / Pandemics / SARS-CoV-2 / COVID-19 / Hospitals / Intensive Care Units Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2021 Document Type: Article

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Full text: Available Collection: International databases Database: MEDLINE Main subject: Disease Management / Decision Making / Pandemics / SARS-CoV-2 / COVID-19 / Hospitals / Intensive Care Units Type of study: Observational study / Prognostic study Limits: Humans Language: English Journal: Mayo Clin Proc Year: 2021 Document Type: Article