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Desarrollo de un Sistema de Índice de Calidad de Servicio para Chatbots de Atención Médica con IA: Estudio de Métodos
Yu Gu1, Xinyi Wang1
1School of Medical Technology, Capital Medical University, Beijing, China.
Journal of medical Internet research
|February 18, 2026
Resumen
Este estudio desarrolló un índice de calidad de servicio para chatbots de atención médica con IA utilizando el marco SERVQUAL. La herramienta validada ayuda a evaluar el rendimiento del chatbot y a mejorar las consultas médicas impulsadas por IA.
Área de la Ciencia:
- Informática de la Salud
- Inteligencia Artificial en la Atención Médica
- Gestión de la Calidad del Servicio
Sus antecedentes:
- Los chatbots de atención médica con inteligencia artificial (IA) se adoptan cada vez más a nivel mundial.
- Evaluar la calidad del servicio de estos chatbots es crucial, pero carece de métodos estandarizados.
- Este estudio aborda la necesidad de un marco de evaluación integral.
Objetivo del estudio:
- Desarrollar un sistema de índice de calidad de servicio para chatbots de atención médica con IA.
- El sistema se basa en el marco SERVQUAL establecido.
- El objetivo es proporcionar una herramienta para evaluar el rendimiento del chatbot.
Principales métodos:
- Se creó una lista inicial de indicadores a partir de la revisión de la literatura y la consulta de expertos.
- Un proceso Delphi de 2 rondas con 20 expertos refinó los indicadores.
- El Proceso de Jerarquía Analítica (AHP) determinó los pesos de los indicadores.
Principales resultados:
- Se estableció un sistema de índice final con 5 indicadores primarios y 17 secundarios.
- Los dominios clave de calidad incluyen garantía, confiabilidad, semejanza humana, tangibilidad y capacidad de respuesta.
- La garantía (0.239) y la confiabilidad (0.237) recibieron los pesos más altos.
Conclusiones:
- Esta investigación es pionera en un índice de calidad de servicio validado para chatbots de atención médica con IA.
- El sistema de índice, adaptado de SERVQUAL, ofrece una herramienta de evaluación sólida.
- Los hallazgos brindan información para mejorar los servicios de consulta médica impulsados por IA.
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