Effectiveness of an Emergency Department–Based Machine Learning Clinical Decision Support Tool to Prevent Outpatient Falls Among Older Adults: Protocol for a Quasi-Experimental Study

BACKGROUND: Emergency department (ED) providers are important collaborators in preventing falls for older adults because they are often the first health care providers to see a patient after a fall and because at-home falls are often preceded by previous ED visits. Previous work has shown that ED re...

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Detalles Bibliográficos
Autores principales: Hekman, Daniel J, Cochran, Amy L, Maru, Apoorva P, Barton, Hanna J, Shah, Manish N, Wiegmann, Douglas, Smith, Maureen A, Liao, Frank, Patterson, Brian W
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2023
Materias:
Protocol
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436111/
https://www.ncbi.nlm.nih.gov/pubmed/37535416
http://dx.doi.org/10.2196/48128

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436111/
https://www.ncbi.nlm.nih.gov/pubmed/37535416
http://dx.doi.org/10.2196/48128

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