Predicting Intensive Care Transfers and Other Unforeseen Events: Analytic Model Validation Study and Comparison to Existing Methods

BACKGROUND: COVID-19 has led to an unprecedented strain on health care facilities across the United States. Accurately identifying patients at an increased risk of deterioration may help hospitals manage their resources while improving the quality of patient care. Here, we present the results of an...

Descripción completa

Detalles Bibliográficos
Autores principales: Cummings, Brandon C, Ansari, Sardar, Motyka, Jonathan R, Wang, Guan, Medlin Jr, Richard P, Kronick, Steven L, Singh, Karandeep, Park, Pauline K, Napolitano, Lena M, Dickson, Robert P, Mathis, Michael R, Sjoding, Michael W, Admon, Andrew J, Blank, Ross, McSparron, Jakob I, Ward, Kevin R, Gillies, Christopher E
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061893/
https://www.ncbi.nlm.nih.gov/pubmed/33818393
http://dx.doi.org/10.2196/25066

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8061893/
https://www.ncbi.nlm.nih.gov/pubmed/33818393
http://dx.doi.org/10.2196/25066

Ejemplares similares