Automated analysis of unstructured clinical assessments improves emergency department triage performance: A retrospective deep learning analysis

OBJECTIVES: Efficient and accurate emergency department (ED) triage is critical to prioritize the sickest patients and manage department flow. We explored the use of electronic health record data and advanced predictive analytics to improve triage performance. METHODS: Using a data set of over 5 mil...

Descripción completa

Detalles Bibliográficos
Autores principales: Sax, Dana R., Warton, E. Margaret, Sofrygin, Oleg, Mark, Dustin G., Ballard, Dustin W., Kene, Mamata V., Vinson, David R., Reed, Mary E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2023
Materias:
General Medicine
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337523/
https://www.ncbi.nlm.nih.gov/pubmed/37448487
http://dx.doi.org/10.1002/emp2.13003

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10337523/
https://www.ncbi.nlm.nih.gov/pubmed/37448487
http://dx.doi.org/10.1002/emp2.13003

Ejemplares similares