Predicción de lesiones por presión en unidades de cuidados intensivos mediante inteligencia artificial
protocolo de scoping review
DOI:
https://doi.org/10.48492/servir0212.36731Palabras clave:
Inteligencia Artificial, Úlcera por Presión, Unidades de Cuidados Intensivos, Cuidados Críticos, Enfermería de Cuidados CríticosResumen
Introducción: Las lesiones por presión son frecuentes en cuidados intensivos, afectando la calidad de vida y aumentando los costes sanitarios. Las escalas tradicionales presentan limitaciones en pacientes críticos. La inteligencia artificial surge como alternativa prometedora para una detección precoz más precisa.
Objetivo: Identificar y mapear la evidencia científica disponible sobre el uso de inteligencia artificial para la predicción de lesiones por presión en pacientes adultos en situación crítica ingresados en unidades de cuidados intensivos.
Métodos: Se realizará una scoping review según la metodología del Joanna Briggs Institute y la checklist PRISMA-ScR. La búsqueda incluirá bases de datos científicas y literatura gris, sin restricciones de idioma o fecha. Se considerarán estudios que aborden el uso de inteligencia artificial para predecir lesiones por presión en cuidados intensivos.
Resultados: Los datos se presentarán de forma descriptiva y narrativa, con tablas que resuman tipos de inteligencia artificial, variables predictoras, rendimiento de los modelos e implicaciones clínicas.
Conclusiones: Esta revisión permitirá sistematizar el conocimiento actual, identificar vacíos en la literatura y apoyar la integración de soluciones basadas en inteligencia artificial en la práctica enfermera en cuidados intensivos.
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Derechos de autor 2025 José Alves, Rita Azevedo, Ana Marques, Paulo Alves
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