Software Application That Evaluates the Diagnostic Accuracy of Nursing Students |
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Authors: | Rodrigo Jensen RN MScN Paulo Sérgio Panse Silveira MD PhD Neli Regina Siqueira Ortega PhD Maria Helena Baena de Moraes Lopes RN PhD |
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Affiliation: | 1. doctoral student at the University of Campinas, Campinas, Brazil;2. associate professor at the University of S?o Paulo, S?o Paulo, Brazil;3. researcher at the University of S?o Paulo, S?o Paulo, Brazil;4. associate professor and supervisor at the University of Campinas, Campinas, Brazil |
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Abstract: | 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. OBJETIVO: Aplicar o software educacional Fuzzy Kitten com graduandos de enfermagem brasileiros. MÉTODOS: Este software, baseado em lógica fuzzy, gera escores de desempenho que avaliam a capacidade do aluno em identificar características definidoras/fatores de risco presentes em casos clínicos, relacioná‐las com diagnósticos de enfermagem e determinar diagnósticos de forma livre ou usando um modelo de apoio à decisão. RESULTADOS: Houve diferença no desempenho dos alunos em relação ao ano do curso. O tempo para realizar a atividade não apresentou relação com o desempenho. O escore dos alunos foi superior no diagnóstico gerado pelo modelo (p = ,01). CONCLUSÕES: O software permitiu avaliar a acurácia diagnóstica dos alunos. IMPLICAÇÕES: O software possibilita uma avaliação objetiva da acurácia diagnóstica. |
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Keywords: | Decision support technique educational technology fuzzy logic nursing diagnosis |
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