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.

Detalles Bibliográficos
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:
Research Letter
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
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author Wong, Andrew
Cao, Jie
Lyons, Patrick G.
Dutta, Sayon
Major, Vincent J.
Ötleş, Erkin
Singh, Karandeep
author_facet Wong, Andrew
Cao, Jie
Lyons, Patrick G.
Dutta, Sayon
Major, Vincent J.
Ötleş, Erkin
Singh, Karandeep
author_sort Wong, Andrew
collection PubMed
description 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.
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spelling pubmed-86054812021-12-03 Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic Wong, Andrew Cao, Jie Lyons, Patrick G. Dutta, Sayon Major, Vincent J. Ötleş, Erkin Singh, Karandeep JAMA Netw Open Research Letter 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. American Medical Association 2021-11-19 /pmc/articles/PMC8605481/ /pubmed/34797372 http://dx.doi.org/10.1001/jamanetworkopen.2021.35286 Text en Copyright 2021 Wong A et al. JAMA Network Open. https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the CC-BY License.
spellingShingle Research Letter
Wong, Andrew
Cao, Jie
Lyons, Patrick G.
Dutta, Sayon
Major, Vincent J.
Ötleş, Erkin
Singh, Karandeep
Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title_full Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title_fullStr Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title_full_unstemmed Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title_short Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic
title_sort quantification of sepsis model alerts in 24 us hospitals before and during the covid-19 pandemic
topic Research Letter
url 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
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