Full text
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| Author(s): |
Rodrigo Jensen
Total Authors: 1
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| Document type: | Master's Dissertation |
| Press: | Campinas, SP. |
| Institution: | Universidade Estadual de Campinas (UNICAMP). Faculdade de Ciências Médicas |
| Defense date: | 2010-06-23 |
| Examining board members: |
Maria Helena Baena de Moraes Lopes;
Yolanda Dora Martinez Évora;
Luciana de Lione Melo
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| Advisor: | Maria Helena Baena de Moraes Lopes |
| Abstract | |
The theory of fuzzy logic can be a way to develop methods to show the students how to direct their thoughts to an accurate diagnosis. Establishing the relationship between values of the defining characteristics / risk factors, nursing diagnoses and clinical cases, students could improve their diagnostic reasoning process and make diagnoses accurately approaching the experts. This study aimed to develop and evaluate a computer program that used the Model for Evaluation of Diagnosis Accuracy Based on Fuzzy Logic proposed by Lopes, to verify the accuracy of diagnosis, through scores of performance in undergraduate nursing students. Was initially performed an integrative review for exploring how the theory of fuzzy logic has been used by nurses, were found 21 articles in eight countries, the main application of the theory occurred in developing models and technologies. After the theoretical foundation, the Model for Evaluation of Diagnosis Accuracy Based on Fuzzy Logic was applied to a group of 45 students, without the use of computational resources. Based on this model was developed a computer program, called Fuzzy Kitten, built in PERL with MySQL database to access the Internet and using the taxonomy of nursing diagnoses of NANDA-I version 2007- 2008. We applied the concepts of fuzzy logic, fuzzy maximum-minimum composition and aggregation operation. The program activity Fuzzy Kitten has four steps where the student establishes a relationship between values: defining characteristics/ risk factors and nursing diagnoses; defining characteristics/ risk factors and a clinical case; and nursing diagnoses and a clinical case. Relationship values established by the student are applied to the fuzzy maximum-minimum composition and compared to values determined by a group of experts, generating four scores to student performance. The program was used by 32 students, being applied in three case studies and analyzed the performance of students. The program was evaluated for usability by students who used and evaluated for technical quality by eight computer science experts, both answered a questionnaire to evaluate the program. In the perception of students, the activity proposed has brought benefits to the learning of nursing diagnosis and the specialists judged that the program achieved its goal, serving the needs, with a structure to do what is proposed, being easy to use and being in the compliance specification and use. We believe that the software Fuzzy Kitten reached its goal of making measurable the diagnostic accuracy of the student, to encourage learning about nursing diagnoses and to assist a more objective evaluation of the student about his knowledge related to nursing diagnosis. (AU) | |
| FAPESP's process: | 08/51800-9 - Validation and application of a software based on Fuzzy logic to evaluate the diagnostic accuracy |
| Grantee: | Rodrigo Jensen |
| Support Opportunities: | Scholarships in Brazil - Master |