Bipolar disorder is a condition marked by changes between mania and depression, with the highest suicide rate in mental health diseases. To follow up patient behavior, digital technologies, such as mobile health (mHealth) applications, propose a continuous data collection of those patients using active data (patient input information such as daily mood) or passive data (collecting data from smartphone sensors). The information collected is the digital phenotype, but it often fails because the patient does not adhere to these solutions. In addition, capturing contextual information, such as the weather conditions of a patient s localization, is not considered. This thesis aims to develop a comprehensive digital phenotype framework that integrates active, passive, contextual, and clinical data (APCC), leveraging mHealth solutions to enhance the real-time monitoring, early detection, and personalized management of bipolar disorder. First, since there is no consensus on the relevant characteristics of mHealth, we conducted a systematic review of the literature that highlighted open gaps and opportunities. Then we developed a mHealth called BraPolar2 and collected active and passive data from 22 patients at the Institute of Psychiatry (IPUB) of the Federal University of Rio de Janeiro (UFRJ) for 6 months resulting in an adherence of 68.6 per cent. Patients reported an improvement in their condition to manage their bipolarity in a semi-structured interview. Then, as contextual information is not considered in digital phenotype analysis, we validated the relevant variables with IPUB specialists in a semi-structured interview. Finally, we propose a unified dataset to contribute to the study of the digital phenotype in people with bipolar disorder with specialists. This thesis contributes by implementing strategies that improve adherence in mHealth, focusing on the potential benefits and challenges of using APCC data in clinical practice. The results underscore the importance of a multidisciplinary approach, including psychiatrists, to ensure that the system meets clinical needs and supports effective patient care.