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; Ötles, Erkin; Singh, Karandeep

Wong, Andrew; Cao, Jie; Lyons, Patrick G; Dutta, Sayon; Major, Vincent J; Ötles, Erkin; Singh, Karandeep.

Afiliación

Wong A; Department of Internal Medicine, University of Michigan Medical School, Ann Arbor.
Cao J; Department of Computational Medicine and Bioinformatics, University of Michigan Medical School, Ann Arbor.
Lyons PG; John T. Milliken Department of Medicine, Washington University School of Medicine, St Louis, Missouri.
Dutta S; Department of Emergency Medicine, Massachusetts General Hospital, Boston.
Major VJ; Department of Population Health, New York University Grossman School of Medicine, New York.
Ötles E; Medical Scientist Training Program, University of Michigan, Ann Arbor.
Singh K; Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor.

JAMA Netw Open ; 4(11): e2135286, 2021 11 01.

Article en En | MEDLINE | ID: mdl-34797372

Asunto(s)

COVID-19; Sistemas de Apoyo a Decisiones Clínicas/estadística & datos numéricos; Servicio de Urgencia en Hospital/estadística & datos numéricos; Vigilancia de la Población; Sepsis/diagnóstico; Hospitales; Humanos; Estudios Retrospectivos; SARS-CoV-2; Estados Unidos/epidemiología

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Vigilancia de la Población / Sepsis / Sistemas de Apoyo a Decisiones Clínicas / Servicio de Urgencia en Hospital / COVID-19 Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans País/Región como asunto: America do norte Idioma: En Revista: JAMA Netw Open Año: 2021 Tipo del documento: Article

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