Qualidade de dados no Sistema de Informação sobre Mortalidade (SIM) na perspectiva da análise exploratória de dados

Abstract

The Mortality Information System (SIM) is an important tool for defining health strategies and public policies, but for it to be effectively used, its data must offer reliability and consistency. In this study, an exploratory data analysis approach was applied to the SIM dataset from 2014, 2019, and 2024. The exploratory analysis method investigates the characteristics of a dataset without pre-defined hypotheses, allowing the observation of patterns and data consistency. Although the analyzed SIM data show improvement in the completion rate, with good values in most variables, there are still problems such as unfilled fields, inconsistencies in the completion of interdependent fields, interoperability problems with other data sources, date completion issues, and aspects related to social determinants of health. The study points to aspects that can be strengthened in the implementation of the electronic version of the Death Certificate, the source document for the Mortality Information System (SIM), but also shows that investment in professional training, review of documentary instruments, terminological harmonization, and strengthening strategies for interoperability and data governance in digital health are essential.