Estudio sobre la aplicabilidad y usabilidad de los chatbots en las actividades del ingeniero clínico en un entorno hospitalario
Loading...
Date
2026-04-03
Journal Title
Journal ISSN
Volume Title
Publisher
Universidad Tecnológica Centroamericana UNITEC
Abstract
Los chatbots en el ámbito de la salud representan aplicaciones de inteligencia artificial (IA) diseñadas con la finalidad de proporcionar orientación médica, apoyo emocional,
información relacionada con la salud y respuestas a consultas vinculadas al bienestar y la atención médica a través de diálogos en línea. Estos sistemas de chatbot encuentran
aplicabilidad en diversos contextos dentro del campo de la salud y la atención médica, con la capacidad de conferir una serie de ventajas, aunque al mismo tiempo enfrentan retos y consideraciones críticas. En este contexto, se ha empleado la metodología en "V" con el propósito de desarrollar un sistema para la creación de métricas que sean más apropiadas para evaluar las diferentes formas de inteligencia artificial previstas para operar en el proyecto, además de definir las variables de evaluación. El enfoque de esta investigación es de tipo mixto, con un diseño preexperimental y un alcance descriptivo. A lo largo de esta investigación, se ha destacado la utilidad potencial de los chatbots en el ámbito de la ingeniería clínica para facilitar la toma de decisiones; pues su arquitectura y entrenamiento permiten un acceso más eficiente a la tecnología. Además, se ha examinado la infraestructura necesaria para implementar los chatbots evaluados, resaltando su facilidad de acceso al requerir únicamente de un dispositivo móvil y conexión a internet. Asimismo, destaca su capacidad para desarrollarse de manera orgánica y sin complicaciones al mantener una conversación. La implementación de estos chatbots, incluyendo aspectos como el aprendizaje, la mejora en la búsqueda de información y la selección de bases de datos, ha sido destacada como un resultado significativo durante la experimentación de este proyecto. Aunque la implementación de estas formas de inteligencia artificial se espera que sea gradual y pueda llevar tiempo, es una tendencia que podría materializarse en un futuro cercano. Estos sistemas podrían ser un apoyo para los ingenieros que trabajan en la ingeniería clínica, especialmente en el mantenimiento de equipos y sistemas médicos; al facilitar el acceso a información y ser capaz de crear herramientas complementarias para automatizar partes repetitivas del trabajo realizado.
Healthcare chatbots represent artificial intelligence (AI) applications designed to provide medical guidance, emotional support, health-related information and answers to wellness and healthcare queries through online dialogues. These chatbot systems find applicability in various contexts within the field of health and medical care, with the ability to confer several advantages, yet at the same time face challenges and critical considerations. In this context, the "V" methodology has been employed for the purpose of developing a system for the creation of metrics that are most appropriate for evaluating the different forms of artificial intelligence envisioned to operate in the project, in addition to defining the evaluation variables. The approach of this research is of a mixed type, with a pre-experimental design and a descriptive scope. Throughout this research, the potential usefulness of chatbots in the field of clinical engineering to facilitate decision making has been highlighted, as their architecture and training allow more efficient access to the technology. In addition, the infrastructure necessary to implement the evaluated chatbots has been examined, highlighting their ease of access by requiring only a mobile device and internet connection. It also highlights their ability to develop organically and without complications when maintaining a conversation. The implementation of these chatbots, including aspects such as learning, improved information search and database selection, has been highlighted as a significant result during the experimentation of this project. Although the implementation of these forms of artificial intelligence is expected to be gradual and may take time, it is a trend that could materialize soon. These systems could be a support for engineers working in clinical engineering, especially in the maintenance of medical equipment and systems; by facilitating access to information and being able to create complementary tools to automate repetitive parts of the work performed.
Healthcare chatbots represent artificial intelligence (AI) applications designed to provide medical guidance, emotional support, health-related information and answers to wellness and healthcare queries through online dialogues. These chatbot systems find applicability in various contexts within the field of health and medical care, with the ability to confer several advantages, yet at the same time face challenges and critical considerations. In this context, the "V" methodology has been employed for the purpose of developing a system for the creation of metrics that are most appropriate for evaluating the different forms of artificial intelligence envisioned to operate in the project, in addition to defining the evaluation variables. The approach of this research is of a mixed type, with a pre-experimental design and a descriptive scope. Throughout this research, the potential usefulness of chatbots in the field of clinical engineering to facilitate decision making has been highlighted, as their architecture and training allow more efficient access to the technology. In addition, the infrastructure necessary to implement the evaluated chatbots has been examined, highlighting their ease of access by requiring only a mobile device and internet connection. It also highlights their ability to develop organically and without complications when maintaining a conversation. The implementation of these chatbots, including aspects such as learning, improved information search and database selection, has been highlighted as a significant result during the experimentation of this project. Although the implementation of these forms of artificial intelligence is expected to be gradual and may take time, it is a trend that could materialize soon. These systems could be a support for engineers working in clinical engineering, especially in the maintenance of medical equipment and systems; by facilitating access to information and being able to create complementary tools to automate repetitive parts of the work performed.
Keywords
Aplicabilidad, Biomédica, Ingeniería clínica, Inteligencia artificial, Chatbot