IOT IN CHILDCARE: PREDICTING PREGNANCY RISKS AND PROVIDING COMPREHENSIVE CARE FOR MOTHERS AND INFANTS TO REDUCE MORBIDITY AND MORTALITY IN THE FIRST YEAR OF LIFE

Abstract

This article aims to present a prototype of an evidence-based application for maternal and child health and discuss its potential in healthcare. Methods: This is an applied research study with a qualitative approach, developed in two stages: a scoping review of the literature, a survey of technical-scientific content, subsequent to conceptual definition of the functionalities of a mobile application aimed at monitoring pregnant women and children in the first year of life. The scoping review was conducted according to the recommendations of the Joanna Briggs Institute and reported according to PRISMA-ScR. The LILACS, MEDLINE, and SciELO databases were consulted, including studies published between 2020 and 2025 in Portuguese, English, and Spanish. Results and Discussion: 156 articles were identified, of which 23 comprised the final sample. The studies demonstrate that mobile applications and mHealth interventions favor clinical monitoring, health education, psychosocial support, adherence to prenatal care, and self-care, with functionalities such as risk monitoring, notifications, guidance, and communication with healthcare professionals. However, limitations persist in accessibility, data privacy, interoperability, and longitudinal care in the first year of life. Conclusion: Digital technologies can complement care, but more integrated solutions are still needed to ensure comprehensive care.