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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.
Affiliation
  • 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 in En | MEDLINE | ID: mdl-34797372
Subject(s)
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Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Population Surveillance / Sepsis / Decision Support Systems, Clinical / Emergency Service, Hospital / COVID-19 Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: JAMA Netw Open Year: 2021 Document type: Article Country of publication: United States
Fulltext
Add to My VHL
Print
XML
PubMed Links
Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Population Surveillance / Sepsis / Decision Support Systems, Clinical / Emergency Service, Hospital / COVID-19 Type of study: Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Limits: Humans Country/Region as subject: America do norte Language: En Journal: JAMA Netw Open Year: 2021 Document type: Article Country of publication: United States