Electronic surveillance of patient safety events using natural language processing

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize that a) some patient safety events are documented only in the clinical notes and not in any other accessible source; and b) large-scale abstrac...

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Detalles Bibliográficos
Autores principales: Ozonoff, Al, Milliren, Carly E, Fournier, Kerri, Welcher, Jennifer, Landschaft, Assaf, Samnaliev, Mihail, Saluvan, Mehmet, Waltzman, Mark, Kimia, Amir A
Formato: Online Artículo Texto
Lenguaje:English
Publicado: 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195078/
https://www.ncbi.nlm.nih.gov/pubmed/36330784
http://dx.doi.org/10.1177/14604582221132429

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10195078/
https://www.ncbi.nlm.nih.gov/pubmed/36330784
http://dx.doi.org/10.1177/14604582221132429

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