Using Time Series Clustering to Segment and Infer Emergency Department Nursing Shifts from Electronic Health Record Log Files.

Moy, Amanda J; Cato, Kenrick D; Withall, Jennifer; Kim, Eugene Y; Tatonetti, Nicholas; Rossetti, Sarah C

Moy, Amanda J; Cato, Kenrick D; Withall, Jennifer; Kim, Eugene Y; Tatonetti, Nicholas; Rossetti, Sarah C.

Afiliación

Moy AJ; Columbia University Department of Biomedical Informatics, NY, NY, USA.
Cato KD; Columbia University Irving Medical Center Department of Emergency Medicine, NY, NY, USA.
Withall J; Columbia University School of Nursing, NY, NY, USA.
Kim EY; Columbia University School of Nursing, NY, NY, USA.
Tatonetti N; Columbia University Irving Medical Center Department of Emergency Medicine, NY, NY, USA.
Rossetti SC; Columbia University Department of Biomedical Informatics, NY, NY, USA.

AMIA Annu Symp Proc ; 2022: 805-814, 2022.

Article en En | MEDLINE | ID: mdl-37128367

Asunto(s)

Documentación; Registros Electrónicos de Salud; Humanos; Factores de Tiempo; Servicio de Urgencia en Hospital

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Documentación / Registros Electrónicos de Salud Tipo de estudio: Guideline / Prognostic_studies Límite: Humans Idioma: En Revista: AMIA Annu Symp Proc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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