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24 家美国医院在 COVID-19 大流行前后对脓毒症模型警报的量化。

Quantification of Sepsis Model Alerts in 24 US Hospitals Before and During the COVID-19 Pandemic.

机构信息

Department of Internal Medicine, University of Michigan Medical School, Ann Arbor.

Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor.

出版信息

JAMA Netw Open. 2021 Nov 1;4(11):e2135286. doi: 10.1001/jamanetworkopen.2021.35286.

Abstract

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.

摘要

这项描述性研究通过量化 Epic Sepsis Model 在 COVID-19 大流行之前和期间在 24 家美国医院生成的警报数量,评估了护理报告中脓毒症过度警报与警报量之间的关联。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/7791/8605481/0b3451584e2d/jamanetwopen-e2135286-g001.jpg

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