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