O uso de fontes não-tradicionais para a vigilância em saúde: atendimentos de urgência para detecção precoce de eventos

João Henrique Araujo Morais; Débora Medeiros de Oliveira e Cruz; Valeria Saraceni; Caroline Dias Ferreira; Gislani Mateus Oliveira Aguilar; Oswaldo Gonçalves Cruz

doi:10.1590/SciELOPreprints.8996

##article.authors##

João Henrique Araujo Morais Escola Nacional de Saúde Pública Sergio Arouca https://orcid.org/0000-0003-3258-1498
Débora Medeiros de Oliveira e Cruz Instituto de Educação Médica https://orcid.org/0000-0002-8325-6866
Valeria Saraceni Secretaria Municipal de Saúde do Município do Rio de Janeiro https://orcid.org/0000-0001-7360-6490
Caroline Dias Ferreira Secretaria Municipal de Saúde do Município do Rio de Janeiro https://orcid.org/0000-0001-9631-8571
Gislani Mateus Oliveira Aguilar Secretaria Municipal de Saúde do Município do Rio de Janeiro https://orcid.org/0000-0001-9103-9864
Oswaldo Gonçalves Cruz Programa de Computação Científica, Fiocruz https://orcid.org/0000-0002-3289-3195

DOI:

https://doi.org/10.1590/SciELOPreprints.8996

Keywords:

public health surveillance, syndromic surveillance, routinely collected health data, dashboard systems, electronic health records

Abstract

Preparation and response to Public Health emergencies involve efforts in developing systems for early detection, alert and response. Models for dealing with notification delay and diversification of data sources are some of the commonly used strategies for faster information and action. In this paper, we present the strategy implemented in Rio de Janeiro municipality, where data from urgency and emergency visits were acquired and modeled, in order to detect trend shifts and generate alerts. From the ICD-10 field in electronic records, time series representing events of interest were created. A GAM model was fitted for smoothing, slope determination in each point, and alert generation. The results obtained are displayed in a dashboard, monitored daily. From 2023, multiple events of interest were identified through the dashboard, some of which lead to coordinated communication and actions in the territory. We draw attention to the potentials in the use of these type of data on identifying events of interest in a timely manner, approaching the concepts of a modern surveillance.