GESTAR: An Integrated Telehealth Platform for Obstetric Risk Stratification, e-Learning, and Health Information Management
Abstract
Maternal mortality remains a major challenge in Brazil’s Northeast Region due to fragmented care pathways, socioeconomic constraints, and limited access to specialists. This paper presents GESTAR, a telehealth platform deployed in Alagoas. The system integrates: (i) obstetric risk stratification (SESAU/AL protocol NT15/2025; 73 factors), automatically generating the risk classification and a referral package ready to be routed through the state regulation workflow; (ii) telementoring and continuing education for healthcare professionals; and (iii) clinical decision support through automated, guidelinebased care pathway recommendations. Built on a microservices architecture (Python/FastAPI, Next.js), the platform implements AES-256 encryption and automated report generation.
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