Comparison of Automated Sepsis Identification Methods and Electronic Health Record–based Sepsis Phenotyping: Improving Case Identification Accuracy by Accounting for Confounding Comorbid Conditions

To develop and evaluate a novel strategy that automates the retrospective identification of sepsis using electronic health record data. DESIGN: Retrospective cohort study of emergency department and in-hospital patient encounters from 2014 to 2018. SETTING: One community and two academic hospitals i...

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Detalles Bibliográficos
Autores principales: Henry, Katharine E., Hager, David N., Osborn, Tiffany M., Wu, Albert W., Saria, Suchi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer Health 2019
Materias:
Original Clinical Report
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063888/
https://www.ncbi.nlm.nih.gov/pubmed/32166234
http://dx.doi.org/10.1097/CCE.0000000000000053

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7063888/
https://www.ncbi.nlm.nih.gov/pubmed/32166234
http://dx.doi.org/10.1097/CCE.0000000000000053

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