Impact of a Clinical Text–Based Fall Prediction Model on Preventing Extended Hospital Stays for Elderly Inpatients: Model Development and Performance Evaluation

BACKGROUND: Falls may cause elderly people to be bedridden, requiring professional intervention; thus, fall prevention is crucial. The use of electronic health records (EHRs) is expected to provide highly accurate risk assessment and length-of-stay data related to falls, which may be used to estimat...

Descripción completa

Detalles Bibliográficos
Autores principales: Kawazoe, Yoshimasa, Shimamoto, Kiminori, Shibata, Daisaku, Shinohara, Emiko, Kawaguchi, Hideaki, Yamamoto, Tomotaka
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377461/
https://www.ncbi.nlm.nih.gov/pubmed/35896017
http://dx.doi.org/10.2196/37913

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9377461/
https://www.ncbi.nlm.nih.gov/pubmed/35896017
http://dx.doi.org/10.2196/37913

Ejemplares similares