In 2015 alone, 23.1 million people were diagnosed with diabetes, according to data gathered by the Centers for Disease Control and Prevention (CDC). This sum of people joined the estimated 415 million people living with diabetes in the world. The fast rise of diabetes prevalence and its life-threatening complications (kidney failure, heart attacks, strokes, etc.) has made healthcare and technology professionals find new ways to diagnose and monitor this chronic disease. Among its different types, type 2 diabetes is the most common found in adults and elderly people. Anyone diagnosed with diabetes requires a strict treatment plan that includes constant monitoring of physiological data and self-management. Ambient intelligence, through the implementation of clinical dashboards and mobile applications, allows patients and their medical team to register and to have access to the patient’s data in an organized and digital way. This paper aims to find the most efficient mobile application for the monitoring of type II diabetes through a multicriteria analysis.