Techani: Use of technology as an ally in the management, monitoring, and control of Type 1 diabetes mellitus.

Rocío Contreras-Jiménez; Juan Carlos Olivares Rojas; Adriana del Carmen Téllez Anguiano; Jesús Eduardo Alcaraz Chávez; Enrique Reyes Archundia; José Antonio Gutiérrez Gnecchi

doi:10.17488/RMIB.47.2.1559

Autores/as

Rocío Contreras-Jiménez Tecnológico Nacional de México / I.T. de Morelia https://orcid.org/0009-0006-7184-3859
Juan Carlos Olivares Rojas Tecnológico Nacional de México / Instituto Tecnológico de Morelia https://orcid.org/0000-0001-5302-1786
Adriana del Carmen Téllez Anguiano Tecnológico Nacional de México / Instituto Tecnológico de Morelia https://orcid.org/0000-0002-0945-2076
Jesús Eduardo Alcaraz Chávez Tecnológico Nacional de México / Instituto Tecnológico de Morelia https://orcid.org/0009-0004-6514-4571
Enrique Reyes Archundia Tecnológico Nacional de México / Instituto Tecnológico de Morelia
José Antonio Gutiérrez Gnecchi Tecnológico Nacional de México / Instituto Tecnológico de Morelia https://orcid.org/0000-0001-7898-604X

DOI:

https://doi.org/10.17488/RMIB.47.2.1559

Palabras clave:

Adherencia al tratamiento en Diabetes, Conteo de carbohidratos, Diabetes Tipo 1, M-health, Monitoreo y control de Diabetes

Resumen

La Diabetes Tipo 1 (DBT1), es una enfermedad autoinmune, no prevenible e incurable, en la que el paciente deja de producir insulina, debido a la destrucción de las células Beta del páncreas. Por ello, requiere la aplicación de insulina, alimentación adecuada, hidratación, ejercicio y un control riguroso de glucosa, alimentos e insulina. El objetivo de este proyecto es desarrollar una aplicación móvil y una página web, que mejoren el monitoreo del paciente, la adherencia al tratamiento, con enfoque en la idiosincrasia mexicana, gratuito, confiable, usando Inteligencia Artificial para prevenir descompensaciones. Se empleó la metodología Scrum y principios de diseño UI/UX en un estudio mixto. El resultado fue el desarrollo de un primer subsistema: Techani, que integra funciones como conteo de carbohidratos con alimentos mexicanos, expediente clínico en la nube, alertas a familiares, lectura de glucosas por medio de OCR y el seguimiento de múltiples variables (sueño, hidratación, días atípicos, medicamentos, podómetro, emociones, mensajes motivacionales), además de las variables tradicionales. Si el paciente registra datos precisos, el subsistema complementario podrá realizar cálculos de bolo más exactos, mejorando su calidad de vida y reduciendo complicaciones a corto y largo plazo.

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