Literature DB >> 22441283

[The development and evaluation of software to verify diagnostic accuracy].

Rodrigo Jensen1, Maria Helena Baena de Moraes Lopes, Paulo Sérgio Panse Silveira, Neli Regina Siqueira Ortega.   

Abstract

This article describes the development and evaluation of software that verifies the accuracy of diagnoses made by nursing students. The software was based on a model that uses fuzzy logic concepts, including PERL, the MySQL database for Internet accessibility, and the NANDA-I 2007-2008 classification system. The software was evaluated in terms of its technical quality and usability through specific instruments. The activity proposed in the software involves four stages in which students establish the relationship values between nursing diagnoses, defining characteristics/risk factors and clinical cases. The relationship values determined by students are compared to those of specialists, generating performance scores for the students. In the evaluation, the software demonstrated satisfactory outcomes regarding the technical quality and, according to the students, helped in their learning and may become an educational tool to teach the process of nursing diagnosis.

Mesh:

Year:  2012        PMID: 22441283     DOI: 10.1590/s0080-62342012000100025

Source DB:  PubMed          Journal:  Rev Esc Enferm USP        ISSN: 0080-6234            Impact factor:   1.086


  2 in total

1.  Translation and cultural adaptation for Brazil of the Developing Nurses' Thinking model.

Authors:  Rodrigo Jensen; Diná de Almeida Lopes Monteiro da Cruz; Mary Gay Tesoro; Maria Helena Baena de Moraes Lopes
Journal:  Rev Lat Am Enfermagem       Date:  2014 Mar-Apr

2.  Fuzzy model to estimate the number of hospitalizations for asthma and pneumonia under the effects of air pollution.

Authors:  Luciano Eustáquio Chaves; Luiz Fernando Costa Nascimento; Paloma Maria Silva Rocha Rizol
Journal:  Rev Saude Publica       Date:  2017-06-22       Impact factor: 2.106

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.