Software Application That Evaluates the Diagnostic Accuracy of Nursing Students

Autor(es)

Jensen, Rodrigo ^[1] ; Panse Silveira, Paulo Sergio ^[2] ; Siqueira Ortega, Neli Regina ^[2] ; Baena de Moraes, Maria Helena ^[1]

Afiliação do(s) autor(es)

^[1] Univ Estadual Campinas, Campinas, SP - Brazil

^[2] Univ Sao Paulo, Sao Paulo - Brazil

• Tipo de documento: Artigo Científico
• Fonte: INTERNATIONAL JOURNAL OF NURSING KNOWLEDGE; v. 23, n. 3, p. 163-171, OCT 2012.
• Citações Web of Science: 4

Resumo

PURPOSE: Apply the educational software Fuzzy Kitten with undergraduate Brazilian nursing students. METHODS: This software, based on fuzzy logic, generates performance scores that evaluate the ability to identify defining characteristics/risk factors present in clinical cases, relate them with nursing diagnoses, and determine the diagnoses freely or using a decision support model. FINDINGS: There were differences in student performance compared to the year of the course. The time to perform the activity did not present a significant relation to the performance. The students' scores in the diagnoses indicated by the model was superior (p = .01). CONCLUSIONS: The software was able to evaluate the diagnostic accuracy of students. IMPLICATIONS: The software enables an objective evaluation of diagnostic accuracy. (AU)

• Processo FAPESP: 08/51800-9 - Validação e aplicação de um modelo computacional baseado em lógica fuzzy para avaliação da acurácia diagnóstica
• Beneficiário: Rodrigo Jensen
• Modalidade de apoio: Bolsas no Brasil - Mestrado