Palabras clave
Proceso de Enfermería
Registros de Enfermería
Inteligencia Artificial
Sistemas de Apoyo a Decisiones Clínicas
Investigación Cualitativa
Cómo citar
Resumen
Objetivo: Analizar las percepciones de enfermeros de la Atención Primaria de Salud sobre un sistema de apoyo a la toma de decisiones clínicas basado en inteligencia artificial, identificando desafíos y barreras para su implementación. Método: Estudio cualitativo realizado mediante entrevistas semiestructuradas presenciales, en el entorno laboral, con 20 enfermeros. Las entrevistas fueron grabadas, transcritas y sometidas a un análisis de contenido temático, conforme a lo propuesto por Bardin. Resultados: Se identificaron tres categorías: Percepción sobre el sistema y su impacto en la práctica clínica, destacando el potencial de la herramienta para apoyar el razonamiento clínico, cualificar el Proceso de Enfermería y estandarizar los registros; Barreras y desafíos en la implementación y el uso del sistema, evidenciando dificultades relacionadas con la ausencia de interoperabilidad, las limitaciones de la infraestructura tecnológica y el aumento de la carga de trabajo; y Sugerencias de mejora y recomendaciones futuras, que señalan la necesidad de integración entre sistemas, mejoras en la usabilidad y estrategias que favorezcan su incorporación a los flujos de trabajo en la Atención Primaria de Salud. Conclusión: Los sistemas basados en inteligencia artificial presentan potencial para apoyar la práctica clínica en la Atención Primaria de Salud; sin embargo, su incorporación efectiva depende de la integración de los sistemas, de inversiones en infraestructura digital y de estrategias de implementación alineadas con el contexto organizacional.
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Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Derechos de autor 2026 Anna Paula Mendes Marques de Lima Franco, Francini Castilha do Nascimento, Yasmim Ribeiro Fracaroli, Luiz Eduardo da Silva, Fábio de Souza Terra, Isabelle Cristinne Pinto Sampaio Costa