Desarrollo de aplicación móvil para razonamiento clínico y decisiones terapéuticas en Kinesiología.
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Date
2024
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Publisher
Universidad de Concepción
Abstract
En el campo de la kinesiología, el razonamiento clínico es esencial para el diagnóstico y tratamiento efectivo de diversas patologías. Para fortalecer esta habilidad en estudiantes de kinesiología, se diseñó y desarrolló una aplicación móvil interactiva centrada en la simulación diagnóstica de disfunción patelofemoral y dolor cervical.
La aplicación integra ocho casos clínicos, ya que se agregaron cinco casos de dolor cervical respecto a la versión previa centrada únicamente en disfunción patelofemoral. Cada caso contiene síntomas específicos, pruebas diagnósticas y opciones de tratamiento para simular situaciones clínicas. Adicionalmente, se incluyó una sección de “recursos educativos” para cada patología, la cual detalla síntomas, factores de riesgo y exámenes asociados, donde se integraron fotografías explicativas de los 20 exámenes empleados en los casos clínicos, cuidadosamente capturadas y editadas.
Para guiar la implementación, se desarrollaron diagramas de rutas que organizan el flujo en cada caso clínico. La aplicación fue desarrollada en Flutter Flow, integrando los componentes de esta plataforma. Ofrece preguntas sobre los casos clínicos y entrega retroalimentación específica para respuestas correctas e incorrectas, apoyando el aprendizaje de los estudiantes.
La funcionalidad fue validada mediante la simulación de un caso clínico aleatorio, confirmando el cumplimiento de los diagramas de diseño. Se añadieron mejoras respecto a la versión anterior, como correcciones de visualización y un botón de retorno a inicio en todas las pantallas, optimizando la navegación. La aplicación se evaluó en dispositivos Android (mediante APK y enlace) e iOS (mediante enlace), observándose mayor rapidez y fluidez en APK. Aunque la compatibilidad es completa en todos los formatos, algunos íconos y fotografías pueden tardar en cargar al ser usada mediante el enlace.
Por otra parte, se desarrolló un manual de usuario que facilita la navegación y protege los derechos de autor del material diseñado.
Este proyecto establece una base sólida para expansiones futuras, con potencial para incorporar nuevas patologías y casos clínicos, fortaleciendo así el proceso de aprendizaje en razonamiento clínico.
In the field of kinesiology, clinical reasoning is essential for the effective diagnosis and treatment of various pathologies. To strengthen this skill among kinesiology students, an interactive mobile application was designed and developed, focusing on the diagnostic simulation of patellofemoral dysfunction and cervical pain. The application includes eight clinical cases, as five cervical pain cases were added compared to the previous version, which focused solely on patellofemoral dysfunction. Each case contains specific sym ptoms, diagnostic tests, and treatment options to simulate clinical situations. Additionally, an “educational resources" section was included for each pathology, detailing symptoms, risk factors, and associated tests. This section incorporates explanatory photographs of the 20 exams used in the clinical cases, carefully captured and edited. To guide implementation, route diagrams were developed to organize the flow in each clinical case. The application was developed in Flutter Flow, integrating this platform’s components. It offers questions about the clinical cases and provides specific feedback for correct and incorrect responses, supporting student learning. Functionality was validated by simulating a random clinical case, confirming compliance with the design diagrams. Improvements were made compared to the previous version, such as visual corrections and a return-to-home button on all screens, optimizing navigation. The application was tested on Android devices (via APK and link) and iOS (via link), with greater speed and smoothness observed in the APK version. Although compatibility is complete across all formats, some icons and photographs may take time to load when using the link. On the other hand, a user manual was developed to facilitate navigation and protect the copyrights of the designed material. This project establishes a solid foundation for future expansions, with the potential to incorporate new pathologies and clinical cases, further strengthening the clinical reasoning learning process.
In the field of kinesiology, clinical reasoning is essential for the effective diagnosis and treatment of various pathologies. To strengthen this skill among kinesiology students, an interactive mobile application was designed and developed, focusing on the diagnostic simulation of patellofemoral dysfunction and cervical pain. The application includes eight clinical cases, as five cervical pain cases were added compared to the previous version, which focused solely on patellofemoral dysfunction. Each case contains specific sym ptoms, diagnostic tests, and treatment options to simulate clinical situations. Additionally, an “educational resources" section was included for each pathology, detailing symptoms, risk factors, and associated tests. This section incorporates explanatory photographs of the 20 exams used in the clinical cases, carefully captured and edited. To guide implementation, route diagrams were developed to organize the flow in each clinical case. The application was developed in Flutter Flow, integrating this platform’s components. It offers questions about the clinical cases and provides specific feedback for correct and incorrect responses, supporting student learning. Functionality was validated by simulating a random clinical case, confirming compliance with the design diagrams. Improvements were made compared to the previous version, such as visual corrections and a return-to-home button on all screens, optimizing navigation. The application was tested on Android devices (via APK and link) and iOS (via link), with greater speed and smoothness observed in the APK version. Although compatibility is complete across all formats, some icons and photographs may take time to load when using the link. On the other hand, a user manual was developed to facilitate navigation and protect the copyrights of the designed material. This project establishes a solid foundation for future expansions, with the potential to incorporate new pathologies and clinical cases, further strengthening the clinical reasoning learning process.
Description
Tesis presentada para optar al título de Ingeniero/a Biomédico.
Keywords
Casos clínicos, Kinesiología, Flujogramas, Aplicaciones móviles