Desenvolvimento de um sistema inteligente de triagem de doenças e gestão de filas na Cidade Maputo

Abstract

This study proposes the development of an Intelligent Disease Triage and Queue Management System for the city of Maputo, aimed at mitigating the overload and operational inefficiency observed in healthcare units, particularly those at the primary level, in alignment with the Mozambique Digital Health Strategy. A mixed methodological approach was adopted, combining documentary analysis of the 2024 Health Statistical Yearbook and the Digital Health Strategy for Mozambique with semi-structured interviews, which revealed inherent limitations of manual triage, namely subjectivity and organizational weaknesses. The system developed integrates intelligent algorithms capable of performing adaptive symptom triage for conditions such as Cholera, Malaria, Diabetes, and Hypertension, while also enabling automated queue management and directing patients to the appropriate specialty or, when necessary, to the General Clinician. Preliminary findings suggest that the solution has the potential to constitute a contextualized innovation, capable of optimizing service delivery, reducing errors in the initial triage, particularly regarding queue management and improving the use of available resources; however, its full validation remains dependent on subsequent practical evaluations and the development of complementary modules.