Fall Risk Prediction Models During the Initial COVID-19 Surge: Could Predictive Analytics Be Used in a Resource-Constrained Environment?

Arnold, Lea Ann; Carroll, Chad; Eberlein, Bill; Naidech, Andrew M; Colfer, Kathryn; Ramsey, Kristin; Sturgeon, Cord

Arnold, Lea Ann; Carroll, Chad; Eberlein, Bill; Naidech, Andrew M; Colfer, Kathryn; Ramsey, Kristin; Sturgeon, Cord.

Arnold LA; Author Affiliations: Healthcare and Nursing Informatics (Ms Eberlein and Drs Arnold, Carroll, Naidech, and Sturgeon) and Information Technology (Ms Eberlein), Northwestern Memorial HealthCare; Northwestern Center for Health Services & Outcomes Research, Northwestern University (Dr Naidech); and Patient Care Administration, Northwestern Medicine (Mss Colfer and Ramsey and Dr Sturgeon), Chicago, IL.

Comput Inform Nurs ; 41(9): 725-729, 2023 Sep 01.

Article en En | MEDLINE | ID: mdl-36728039

Asunto(s)

COVID-19; Humanos; Medición de Riesgo; Estudios Retrospectivos; Pacientes Internos; Accidentes por Caídas/prevención & control

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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Etiology_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Año: 2023 Tipo del documento: Article

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