Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic.
review · Level V
Where this comes from
- Record sourced from PubMed, PMID 33673920.
- Also identified by DOI 10.1016/j.mayocp.2020.12.019 and PMC identifier 7833949.
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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.
Medical subject headings
- COVID-19
- Decision Making
- Disease Management
- Hospitals
- Intensive Care Units
- Pandemics
- SARS-CoV-2