Predicting Hospital Readmissions in a Commercially Insured Population over Varying Time Horizons.

Henderson, Morgan; Hirshon, Jon Mark; Han, Fei; Donohue, Megan; Stockwell, Ian

Henderson, Morgan; Hirshon, Jon Mark; Han, Fei; Donohue, Megan; Stockwell, Ian.

Afiliación

Henderson M; The Hilltop Institute, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA. mhenderson@hilltop.umbc.edu.
Hirshon JM; Department of Emergency Medicine, University of Maryland School of Medicine, 655 West Baltimore St S, Baltimore, MD, 21201, USA.
Han F; The Hilltop Institute, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.
Donohue M; Department of Emergency Medicine, University of Maryland School of Medicine, 655 West Baltimore St S, Baltimore, MD, 21201, USA.
Stockwell I; Department of Information Systems, University of Maryland, Baltimore County, 1000 Hilltop Circle, Baltimore, MD, 21250, USA.

J Gen Intern Med ; 38(6): 1417-1422, 2023 05.

Article en En | MEDLINE | ID: mdl-36443626

Asunto(s)

Hospitalización; Readmisión del Paciente; Humanos; Estudios Retrospectivos; Factores de Riesgo; Modelos Logísticos

Palabras clave

hospital quality; prediction; readmission

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Readmisión del Paciente / Hospitalización Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: J Gen Intern Med Asunto de la revista: MEDICINA INTERNA Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

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