Estimation of quality of experience (QoE) in e-Health ecosystems

This article proposes a framework to design and implement e- Health interventions in a comprehensive manner. We draw on complexity science to study the interplay of the ecosystem, the behavior and interactions among its agents. We provide a platform to estimate the Quality of Experience (QoE) to assess the relationship between technology and human factors involved in e-Health projects. Our aim is to estimate QoE in e-Health ecosystems from the perspective of complexity by adopting a methodology that uses fuzzy logic to study the behavior of the ecosystem’s agents. We apply the proposed framework to a remote diagnosis case by means of an ultrasound probe through a satellite link. Despite the ambiguities for determining QoE, the experiment demonstrates the applicability of the framework and allows to stressing the importance of human factors in the implementation of e-Health projects.

• Autores: Rojas-Mendizabal, Veronica Alexandra; Serrano-Santoyo, Arturo; Conte-Galvan, Roberto; Villarreal-Reyes, Salvador; Rivera-Rodriguez, Raul
• Tipo de recurso: Article of journal
• Fecha de publicación: 2017
• Institución: Universidad Nacional de Colombia
• Repositorio: Universidad Nacional de Colombia
• Idioma: spa
• OAI Identifier: oai:repositorio.unal.edu.co:unal/67570
• Acceso en línea: https://repositorio.unal.edu.co/handle/unal/67570; http://bdigital.unal.edu.co/68599/
• Palabra clave: 62 Ingeniería y operaciones afines / Engineering; QoE; QoS; complexity science; e-health; fuzzy logic; QoE; QoS; ciencia de la complejidad; e-salud; lógica difusa
• Rights: openAccess
• License: Atribución-NoComercial 4.0 Internacional