Background: Cervical cancer remains a priority public health issue in middle-income countries like Brazil. The effectiveness of screening programs depends not only on the supply of exams but also on the continuous monitoring of population coverage. Within the Unified Health System (SUS), data fragmentation often hinders agile decision-making. The use of data visualization tools is essential to translate administrative records into actionable management intelligence.

Objectives: To describe the implementation and results of a Business Intelligence (BI) dashboard developed by the Health Situation Room of Salvador, Bahia. The project focuses on monitoring the ratio of cytopathological exams in women aged 25 to 64, aiming to optimize the achievement of municipal screening targets.

Methods: This is a descriptive study on the development of a monitoring tool using the Qlik Sense platform. Data sources included the Outpatient Information System (SIA/SUS) and population estimates from the Brazilian Institute of Geography and Statistics (IBGE). The primary indicator monitored was the ratio of exams performed to the target population (estimated at 1/3 of women aged 25-64 annually). The dashboard allows stratification by Sanitary District, Health Unit, month, and race/skin color, facilitating the identification of access inequities. The data presented refer to the consolidated records of 2024, although the system allows for updates with more recent data.

Results: In 2024, the dashboard consolidated data from 71,862 exams performed within the municipal network. The tool allowed for the visualization of 98.51% compliance with the agreed target, achieving an exam ratio of 0.30, which aligns with the stipulated goal of 0.30. Analysis of the historical series highlighted production peaks (e.g., October - 7,464 exams) associated with awareness campaigns. Furthermore, disaggregation by race/skin color revealed the access profile, with a predominance of mixed-race (Parda) (38,994) and Black (Preta) (28,532) women, allowing management to monitor racial equity in access to early diagnosis.

Conclusions/Implications: For Practice or Policy The implementation of the BI dashboard in Salvador proved to be an effective strategy for strengthening local health management capacity. By transforming raw data from SIA/SUS into intuitive visualizations, the tool empowered managers to monitor performance in real-time and adjust patient recruitment strategies. This initiative serves as a replicable model for other municipalities in low- and middle-income countries (LMICs), demonstrating how information technologies can drive the achievement of cancer prevention goals.

Painel de BI