Nursing workload: use of artificial intelligence to develop a classifier model
Ninon Girardon da Rosa,
Tiago Andres Vaz,
Amália de Fátima Lucena
Abstract:Objective: to describe the development of a predictive nursing workload classifier model, using artificial intelligence. Method: retrospective observational study, using secondary sources of electronic patient records, using machine learning. The convenience sample consisted of 43,871 assessments carried out by clinical nurses using the Perroca Patient Classification System, which served as the gold standard, and clinical data from the electronic medical records of 11,774 patients, which constituted the varia… Show more
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