Exploratory analysis of novel electronic health record variables for quantification of healthcare delivery strain, prediction of mortality, and prediction of imminent discharge.

Lee, Catherine; Lawson, Brian L; Mann, Ariana J; Liu, Vincent X; Myers, Laura C; Schuler, Alejandro; Escobar, Gabriel J

Lee, Catherine; Lawson, Brian L; Mann, Ariana J; Liu, Vincent X; Myers, Laura C; Schuler, Alejandro; Escobar, Gabriel J.

Afiliación

Lee C; Division of Research, Kaiser Permanente, Oakland, California 94612, USA.
Lawson BL; Department of Health Systems Science, Kaiser Permanente Bernard J. Tyson School of Medicine, Pasadena, California 91101, USA.
Mann AJ; Division of Research, Kaiser Permanente, Oakland, California 94612, USA.
Liu VX; Electrical Engineering, Stanford University, Stanford, California 94305, USA.
Myers LC; Division of Research, Kaiser Permanente, Oakland, California 94612, USA.
Schuler A; Intensive Care Unit, Kaiser Permanente Medical Center, Santa Clara, California 95051, USA.
Escobar GJ; Division of Research, Kaiser Permanente, Oakland, California 94612, USA.

J Am Med Inform Assoc ; 29(6): 1078-1090, 2022 05 11.

Article en En | MEDLINE | ID: mdl-35290460

Asunto(s)

Registros Electrónicos de Salud; Alta del Paciente; Adulto; Atención a la Salud; Mortalidad Hospitalaria; Hospitalización; Humanos; Estudios Retrospectivos

Palabras clave

healthcare delivery strain; hospital occupancy; hospital strain; patient-nurse interactions; time-varying predictors

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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Alta del Paciente / Registros Electrónicos de Salud Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Humans Idioma: En Revista: J Am Med Inform Assoc Asunto de la revista: INFORMATICA MEDICA Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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