Evaluating the Effect of a COVID-19 Predictive Model to Facilitate Discharge: A Randomized Controlled Trial

Background  We previously developed and validated a predictive model to help clinicians identify hospitalized adults with coronavirus disease 2019 (COVID-19) who may be ready for discharge given their low risk of adverse events. Whether this algorithm can prompt more timely discharge for stable pati...

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Detalles Bibliográficos
Autores principales: Major, Vincent J., Jones, Simon A., Razavian, Narges, Bagheri, Ashley, Mendoza, Felicia, Stadelman, Jay, Horwitz, Leora I., Austrian, Jonathan, Aphinyanaphongs, Yindalon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Georg Thieme Verlag KG 2022
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329139/
https://www.ncbi.nlm.nih.gov/pubmed/35896506
http://dx.doi.org/10.1055/s-0042-1750416

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9329139/
https://www.ncbi.nlm.nih.gov/pubmed/35896506
http://dx.doi.org/10.1055/s-0042-1750416

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