FROM SENSOR TO ALGORITHM, FROM DATA TO CARE: THE TECHNOLOGICAL RECONFIGURATION OF THE EXPERIENCE OF LIVING WITH DIABETES IN BRAZIL
DOI:
https://doi.org/10.63330/aurumpub.072-004Keywords:
Artificial intelligence, Diabetes mellitus, Digital health, Health technology, Self-careAbstract
Diabetes mellitus is a chronic condition whose management has been transformed by the incorporation of digital technologies capable of expanding monitoring, self-care, and the production of clinical information. This study aimed to analyze how digital technologies, ranging from monitoring sensors to algorithmic systems, reconfigure the experience of living with diabetes in Brazil. The study was justified by the need to understand the effects of digitalization on care, considering clinical benefits, autonomy, accessibility, and equity. An integrative literature review was conducted through searches in PubMed, Scopus, Latindex, the CAPES Journals Portal, and Miguilim, encompassing studies published in Portuguese and English between 2021 and 2026. Publications related to glucose monitoring, smart devices, artificial intelligence, self-care, user experience, data security, and equity in access to technology were analyzed. The results indicate that sensors, continuous monitoring systems, connected devices, and algorithmic tools expand monitoring capabilities and may promote individualized decision-making and greater user participation in care. However, challenges were also identified regarding accessibility, technological inequality, usability, privacy, data security, and the need for professional training. It is concluded that digital transformation has the potential to enhance diabetes care, provided that its implementation preserves person-centeredness, professional mediation, and equitable access to technological resources.
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