Cargando…
Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
This descriptive study evaluates the association between nursing reports of sepsis overalerting and alert volume by quantifying the number of alerts generated by the Epic Sepsis Model at 24 US hospitals before and during the COVID-19 pandemic.
Autores principales: | Wong, Andrew, Cao, Jie, Lyons, Patrick G., Dutta, Sayon, Major, Vincent J., Ötleş, Erkin, Singh, Karandeep |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Medical Association
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8605481/ https://www.ncbi.nlm.nih.gov/pubmed/34797372 http://dx.doi.org/10.1001/jamanetworkopen.2021.35286 |
Ejemplares similares
-
Early identification of patients admitted to hospital for covid-19 at risk of clinical deterioration: model development and multisite external validation study
por: Kamran, Fahad, et al.
Publicado: (2022) -
17. Comparative Assessment of a Machine Learning Model and Rectal Swab Surveillance to Predict Hospital Onset Clostridioides difficile
por: Ötleş, Erkin, et al.
Publicado: (2021) -
Teaching artificial intelligence as a fundamental toolset of medicine
por: Ötleş, Erkin, et al.
Publicado: (2022) -
Sepsis surveillance: an examination of parameter sensitivity and alert reliability
por: Amland, Robert C, et al.
Publicado: (2019) -
Mortality due to respiratory infections: an alert study before COVID-19 pandemic
por: Gi, Andreia, et al.
Publicado: (2022)