Software Application That Evaluates the Diagnostic Accuracy of Nursing Students


Autoria(s): Jensen, Rodrigo; Panse Silveira, Paulo Sergio; Siqueira Ortega, Neli Regina; Baena de Moraes, Maria Helena
Contribuinte(s)

UNIVERSIDADE DE SÃO PAULO

Data(s)

14/10/2013

14/10/2013

2012

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.

Sao Paulo Research Foundation (FAPESP, Brazil)

Sao Paulo Research Foundation (FAPESP)-Brazil [08/51800-9]

Identificador

INTERNATIONAL JOURNAL OF NURSING KNOWLEDGE, HOBOKEN, v. 23, n. 3, supl. 1, Part 2, pp. 163-171, OCT, 2012

2047-3087

http://www.producao.usp.br/handle/BDPI/34358

10.1111/j.2047-3095.2012.01212.x

http://dx.doi.org/10.1111/j.2047-3095.2012.01212.x

Idioma(s)

eng

Publicador

WILEY-BLACKWELL

HOBOKEN

Relação

INTERNATIONAL JOURNAL OF NURSING KNOWLEDGE

Direitos

closedAccess

Copyright WILEY-BLACKWELL

Palavras-Chave #DECISION SUPPORT TECHNIQUE #EDUCATIONAL TECHNOLOGY #FUZZY LOGIC #NURSING DIAGNOSIS #NURSING
Tipo

article

original article

publishedVersion