Predicting Inpatient Falls Using Natural Language Processing of Nursing Records Obtained From Japanese Electronic Medical Records: Case-Control Study

BACKGROUND: Falls in hospitals are the most common risk factor that affects the safety of inpatients and can result in severe harm. Therefore, preventing falls is one of the most important areas of risk management for health care organizations. However, existing methods for predicting falls are labo...

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Detalles Bibliográficos
Autores principales: Nakatani, Hayao, Nakao, Masatoshi, Uchiyama, Hidefumi, Toyoshiba, Hiroyoshi, Ochiai, Chikayuki
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2020
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203618/
https://www.ncbi.nlm.nih.gov/pubmed/32319959
http://dx.doi.org/10.2196/16970

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7203618/
https://www.ncbi.nlm.nih.gov/pubmed/32319959
http://dx.doi.org/10.2196/16970

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