INTRODUCTION:
Mining in Bahia, Brazil, impacts the health of workers and communities. This local scenario reflects global health challenges, such as equity in the workplace, inclusion of vulnerable populations, and environmental sustainability. This study aims to propose a model for Worker Health Surveillance (VISAT) in the mining sector, aligned with these global principles.

METHODS:
A qualitative and propositional study was conducted in 2023 in southwestern Bahia, where large and small mining enterprises coexist. Twenty-five interviews were conducted with health surveillance technicians, representatives of social and union movements, and mining workers. The data were analyzed using thematic content analysis, supported by QDA Miner software.

RESULTS:
Mining surveillance practices were found to be fragmented, focusing on urgent demands such as death investigations, low worker participation, and weak intersectoral coordination. Conflicts between mining companies and affected localities, socio-environmental impacts, and deficiencies in monitoring resident populations were identified. At the same time, potential for dialogue with social control and signs of openness to joint actions were observed. Based on this overview, we propose a strengthening model structured on four pillars: union and community surveillance, training, coordinated institutional surveillance, and dialogic action. Three operational instruments were also developed: (1) an analysis of the mining profile and its health impacts; (2) a proposed action plan for surveillance; and (3) a roadmap for inspecting mining companies.

CONCLUSIONS:
Surveillance in mining faces weaknesses that compromise equity and inclusion in the protection of workers' health. The adoption of a participatory action plan and the proposed instruments can promote best practices. This approach strengthens local surveillance while engaging with global commitments to social justice, environmental protection, and decent work.