Nursing workload: use of artificial intelligence to develop a classifier model

• Published in: Revista latino-americana de enfermagem Vol. 32; p. e4239
• Main Authors: Rosa, Ninon Girardon da, Vaz, Tiago Andres, Lucena, Amália de Fátima
• Format: Journal Article
• Language: English; Portuguese; Spanish
• Published: Brazil Universidade de São Paulo-USP, Escola de Enfermagem de Ribeirão Preto - USP 01.01.2024; Escola de Enfermagem de Ribeirão Preto / Universidade de São Paulo; Universidade de São Paulo
• Subjects: Adult; Aged; Artificial Intelligence; Electronic Health Records; Electronic Health Records - statistics & numerical data; Female; Humans; Machine Learning; Male; Medical records; Middle Aged; NURSING; Nursing administration; Nursing Informatics; Original; Retrospective Studies; Workload; Workload - statistics & numerical data; Workloads; Young Adult; Aprendizaje Automático; Inteligência Artificial; Aprendizado de Máquina; Artificial Intelligence; Enfermagem; Expedientes Electrónicos de Salud; Machine Learning; Nursing Informatics; Workload; Informática Aplicada a la Enfermería; Nursing; Inteligencia Artificial; Informática em Enfermagem; Carga de Trabajo; Carga de Trabalho; Enfermería; Electronic Health Records; Registros Eletrônicos em Saúde

to describe the development of a predictive nursing workload classifier model, using artificial intelligence. retrospective observational study, using secondary sources of electronic patient records, using machine learning. The convenience sample consisted of 43,871 assessments carried out by clinic...