Man vs. Machine: Comparing Physician vs. Electronic Health Record-Based Model Predictions for 30-Day Hospital Readmissions.

Nguyen, Oanh Kieu; Washington, Colin; Clark, Christopher R; Miller, Michael E; Patel, Vivek A; Halm, Ethan A; Makam, Anil N

Nguyen, Oanh Kieu; Washington, Colin; Clark, Christopher R; Miller, Michael E; Patel, Vivek A; Halm, Ethan A; Makam, Anil N.

Afiliação

Nguyen OK; Department of Internal Medicine, UT Southwestern, Dallas, TX, USA. Oanh.Nguyen@ucsf.edu.
Washington C; Department of Population and Data Sciences, UT Southwestern, Dallas, TX, USA. Oanh.Nguyen@ucsf.edu.
Clark CR; Division of Hospital Medicine at San Francisco General Hospital, University of California, San Francisco, San Francisco, CA, USA. Oanh.Nguyen@ucsf.edu.
Miller ME; Department of Internal Medicine, UT Southwestern, Dallas, TX, USA.
Patel VA; Department of Research Administration, Parkland Health and Hospital System, Dallas, TX, USA.
Halm EA; Department of Population and Data Sciences, UT Southwestern, Dallas, TX, USA.
Makam AN; Department of Internal Medicine, UT Southwestern, Dallas, TX, USA.

J Gen Intern Med ; 36(9): 2555-2562, 2021 09.

Article em En | MEDLINE | ID: mdl-33443694

Assuntos

Readmissão do Paciente; Médicos; Registros Eletrônicos de Saúde; Hospitalização; Humanos; Masculino; Estudos Prospectivos; Fatores de Risco

Palavras-chave

electronic health records; hospitalization; logistic models; patient readmission; safety-net providers

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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Readmissão do Paciente / Médicos Tipo de estudo: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans / Male Idioma: En Revista: J Gen Intern Med Assunto da revista: MEDICINA INTERNA Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos

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