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

• Oscar Efraín Capuñay-Uceda ^[2] ; Carlos Enrique Capuñay-Uceda ^[2] ; María Margarita Fanning Balarezo ^[2] ; María Rosa Vásquez Pérez ^[2] ; Susan Míriam Oblitas Guerrrero ^[1] ; María Alejandra Juarez Elera ^[2]
  1. [1] Universidad Señor de Sipán

     Universidad Señor de Sipán

     Chiclayo, Perú

     
  2. [2] niversidad Nacional Pedro Ruiz Gallo, Perú
• Localización: RISTI: Revista Ibérica de Sistemas e Tecnologias de Informação, ISSN-e 1646-9895, Nº. Extra 70, 2024, págs. 706-721
• Idioma: español
• Títulos paralelos:
  • DIEN: Advances in the Formulation of Nursing Diagnoses through an Expert System
• Enlaces
  • Texto completo (pdf)
• Resumen
  • español

    La formulación de diagnósticos enfermeros es un desafío clave en la educación y la práctica de la enfermería, este trabajo propone DIEN, un sistema experto diseñado para mejorar esta competencia fundamental entre estudiantes y profesionales de enfermería. La investigación aplicó metodologías tecnológicas para desarrollar DIEN. Los resultados revelaron que DIEN facilita la formulación de diagnósticos enfermeros basados en la NANDA I, exhibe una alta fiabilidad en la presentación de la información diagnóstica y asegura una experiencia de usuario satisfactoria en términos de facilidad de uso en diferentes dispositivos. Concluimos que DIEN es una innovación efectiva y fiable que proporciona apoyo significativo en la formulación de diagnósticos de enfermería, ofreciendo un potencial considerable para su aplicación en entornos educativos y clínicos, y estableciendo una base sólida para futuras investigaciones y desarrollos en la integración de sistemas expertos en la práctica de enfermería

  • English

    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.

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