Evaluation of a digital system to predict unplanned admissions to the intensive care unit: A mixed-methods approach

BACKGROUND: We have developed the Hospital Alerting Via Electronic Noticeboard (HAVEN) which aims to identify hospitalised patients most at risk of reversible deterioration. HAVEN combines patients’ vital-sign measurements with laboratory results, demographics and comorbidities using a machine learn...

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Detalles Bibliográficos
Autores principales: Malycha, James, Redfern, Oliver, Pimentel, Marco, Ludbrook, Guy, Young, Duncan, Watkinson, Peter
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Clinical Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715371/
https://www.ncbi.nlm.nih.gov/pubmed/35005662
http://dx.doi.org/10.1016/j.resplu.2021.100193

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8715371/
https://www.ncbi.nlm.nih.gov/pubmed/35005662
http://dx.doi.org/10.1016/j.resplu.2021.100193

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