Article ; Online: Deployment of an Interdisciplinary Predictive Analytics Task Force to Inform Hospital Operational Decision-Making During the COVID-19 Pandemic.
2020 Volume 96, Issue 3, Page(s) 690–698
Abstract: ... The framework shared here for the deployment of a COVID-19 predictive analytics task force could be adapted ... In March 2020, our institution developed an interdisciplinary predictive analytics task force ... our task force provided predictive insights through a structured set of visualizations and key messages that have ...
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. |
|||||
---|---|---|---|---|---|---|
MeSH term(s) | COVID-19/epidemiology ; COVID-19/therapy ; Decision Making ; Disease Management ; Forecasting ; Hospitals/statistics & numerical data ; Humans ; Intensive Care Units/statistics & numerical data ; Pandemics ; SARS-CoV-2 | |||||
Language | English | |||||
Publishing date | 2020-12-30 | |||||
Publishing country | England | |||||
Document type | Journal Article ; Review | |||||
ZDB-ID | 124027-4 | |||||
ISSN | 1942-5546 ; 0025-6196 | |||||
ISSN (online) | 1942-5546 | |||||
ISSN | 0025-6196 | |||||
DOI | 10.1016/j.mayocp.2020.12.019 | |||||
Shelf mark |
|
|||||
Database | MEDical Literature Analysis and Retrieval System OnLINE |
More links
Kategorien
In stock of ZB MED Cologne/Königswinter
Ua VI Zs.183: Show issues | Location: Je nach Verfügbarkeit (siehe Angabe bei Bestand) bis Jg. 2021: Bestellungen von Artikeln über das Online-Bestellformular ab Jg. 2022: Lesesaal (EG) |
Order via subito
This service is chargeable due to the Delivery terms set by subito. Orders including an article and supplementary material will be classified as separate orders. In these cases, fees will be demanded for each order.