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Software application that evaluates the diagnostic accuracy of nursing students
Rodrigo Jensen1, Paulo Sérgio Panse Silveira, Neli Regina Siqueira Ortega
1University of Campinas, Campinas, Brazil. rodrigojensen@yahoo.com.br
The Fuzzy Kitten educational software objectively evaluated nursing students' diagnostic accuracy. Students using the decision support model achieved superior scores, demonstrating the software's effectiveness.
Area of Science:
- Nursing Education
- Health Informatics
- Fuzzy Logic Applications
Background:
- Accurate nursing diagnosis is crucial for effective patient care.
- Traditional methods for evaluating diagnostic skills can be subjective.
- Educational technology offers potential for objective assessment.
Purpose of the Study:
- To implement and evaluate the Fuzzy Kitten educational software with undergraduate nursing students in Brazil.
- To assess the software's capability in evaluating students' diagnostic reasoning and accuracy.
Main Methods:
- Utilized fuzzy logic-based software (Fuzzy Kitten) for performance scoring.
- Students identified clinical case characteristics, related them to nursing diagnoses, and determined diagnoses.
- Evaluated performance based on free determination or a decision support model.
Main Results:
- Significant differences in student performance were observed based on their year of study.
- Student performance scores were superior when using the software's decision support model (p=0.01).
- The time spent on the activity did not significantly correlate with performance outcomes.
Conclusions:
- The Fuzzy Kitten software effectively evaluated the diagnostic accuracy of nursing students.
- The software provides an objective and reliable method for assessing diagnostic skills in nursing education.
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