DIEN: Avances en la Formulación de Diagnósticos Enfermeros mediante un Sistema Experto

Oscar Efraín Capuñay-Uceda, Carlos Enrique Capuñay-Uceda, María Margarita Fanning Balarezo, María Rosa Vásquez-Pérez, Susan Míriam Oblitas Guerrrero, María Alejandra Juarez Elera

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

Resumen

The formulation of nursing diagnoses is a key challenge in nursing education and practice, this paper proposes DIEN, an expert system designed to improve this fundamental competence among nursing students and professionals. The research applied technological methodologies to develop DIEN. The results revealed that DIEN facilitates the formulation of nursing diagnoses based on NANDA I, exhibits high reliability in the presentation of diagnostic information and ensures a satisfactory user experience in terms of ease of use on different devices. We conclude that DIEN is an effective and reliable innovation that provides significant support in the formulation of nursing diagnoses, offering considerable potential for application in educational and clinical settings, and laying a solid foundation for future research and development in the integration of expert systems in nursing practice.

Título traducido de la contribuciónDIEN: Advances in the Formulation of Nursing Diagnoses through an Expert System
Idioma originalEspañol
Páginas (desde-hasta)706-721
Número de páginas16
PublicaciónRISTI - Revista Iberica de Sistemas e Tecnologias de Informacao
Volumen2024
N.ºE70
EstadoPublicada - 2024

Nota bibliográfica

Publisher Copyright:
© 2024, Associacao Iberica de Sistemas e Tecnologias de Informacao. All rights reserved.

Palabras clave

  • Expert System
  • Nursing Diagnosis
  • Nursing Education

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