Publication: Plataforma de simulación en Smart Cities para la detección de situciones de no inclusividad
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2022-09
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Abstract
En el contexto de las ciudades inteligentes, a través de los años se han desarrollado soluciones para solventar necesidades propias de poblaciones en riesgo como la del adulto mayor. Dentro de estas soluciones se trabajaron áreas como el transporte, vivienda, comunicación y espacios al aire libre. Sin embargo, hay camino por recorrer en áreas como la participación ciudadana y la de los servicios de salud. Por lo que la finalidad de este trabajo fue desarrollar una solución capaz de recoger información de primera mano sobre la experiencia que tienen los adultos mayores en los servicios de salud, hablando propiamente de los hospitales y de los centros ambulatorios. La solución consiste en una novela visual, diseñada de manera amigable para personas en esta franja poblacional y que recoge información de distintas variables que engloban su experiencia en el centro de salud. Este tipo de herramientas permite mostrar a los usuarios escenarios sobre situaciones puntuales y les brinda la oportunidad de interactuar y dar su opinión sobre detalles específicos. La información recolectada mediante esta solución puede ser puesta al servicio de todas las personas interesadas en mejorar el sistema de salud de la Comunidad de Madrid y puede ser reestructurada para captar datos sobre otras franjas poblacionales. Esta información también podría ser enlazada a plataformas que procesen los datos con inteligencia artificial como la plataforma DColbici3.
In the context of Smart cities, over the years solutions have been developed to solve the needs of high-risk populations such as elderly. These solutions have worked on areas such as housing, communication, transportations and outdoor spaces. However, there is still a long way to go in areas such as citizen participation and health care, specifically in hospitals and ambulatory centers. The proposed solution consists on developing digital stories, designed in a friendly way for people in this population group and that collects information on different data, which subsumes their experience in the health center. This type of platform allows users to observe scenarios about specific situations, to engage and to give their opinion about specific details. The information obtained through this solution can be at the service of those interested in improving their health system of the Madrid Community and can be restructured to capture data on other population groups. This information could also be linked to platforms that process data with artificial intelligence such as DColbici3.
In the context of Smart cities, over the years solutions have been developed to solve the needs of high-risk populations such as elderly. These solutions have worked on areas such as housing, communication, transportations and outdoor spaces. However, there is still a long way to go in areas such as citizen participation and health care, specifically in hospitals and ambulatory centers. The proposed solution consists on developing digital stories, designed in a friendly way for people in this population group and that collects information on different data, which subsumes their experience in the health center. This type of platform allows users to observe scenarios about specific situations, to engage and to give their opinion about specific details. The information obtained through this solution can be at the service of those interested in improving their health system of the Madrid Community and can be restructured to capture data on other population groups. This information could also be linked to platforms that process data with artificial intelligence such as DColbici3.
Description
Trabajo de Fin de Master en Internet de las Cosas, Facultad de Informática UCM, Departamento de Ingeniería del Software e Inteligencia Artificial, Curso 2021/2022.