Uma ferramenta colaborativa para a análise de dados na Saúde Pública: aplicação no estudo de séries temporais para o Projeto Sífilis Não

Abstract

Nowadays, there is a tendency for the use of data analysis in order to implement changes in health systems that enable, among other benefits, cost reduction, disease prevention and better service delivery to the population. One of the initiatives of the Brazilian government, in this sense, is the project "Syphilis No", which has induced actions aimed at controlling syphilis in health care networks. The term "Big Data in Health"has been widely used in several studies that seek, in general, to find and evaluate the potential benefits of big data for health care. Many of these studies, however, are based on theoretical and qualitative analyzes, presenting limitations in the validation of the proposed solutions and highlighting challenges in the formation of competencies for the use of big data technologies. In this context, the present study had the objective of elaborating and implementing a collaborative and facilitating tool for big data analysis, which will contribute, in particular, to the study of time series regarding notifications of syphilis in pregnant women and congenital syphilis, recorded in the Notification of Injury Information System (SINAN). It was built a framework that allows collaboration between professionals with different skills in the creation of experimental programs for analyzing large datasets. The development framework, along with the added functionalities for importing time series and extracting its features, make up the tool obtained in this study. To validate it, real data on epidemiological indicators of syphilis from some Health Information Systems (SIS) were used.