Preventing inpatient falls with injuries using integrative machine learning prediction: a cohort study

Patient falls during hospitalization can lead to severe injuries and remain one of the most vexing patient-safety problems facing hospitals. They lead to increased medical care costs, lengthened hospital stays, more litigation, and even death. Existing methods and technology to address this problem...

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Detalles Bibliográficos
Autores principales: Wang, Lin, Xue, Zhong, Ezeana, Chika F., Puppala, Mamta, Chen, Shenyi, Danforth, Rebecca L., Yu, Xiaohui, He, Tiancheng, Vassallo, Mark L., Wong, Stephen T. C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908660/
https://www.ncbi.nlm.nih.gov/pubmed/31872067
http://dx.doi.org/10.1038/s41746-019-0200-3

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6908660/
https://www.ncbi.nlm.nih.gov/pubmed/31872067
http://dx.doi.org/10.1038/s41746-019-0200-3

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