Data-driven evidence: Detailed analyses can provide clear insights into priority areas that need further investment, such as underfunded regions, inadequate infrastructure or inefficient programmes.

Budget reorganization: Proposals to allocate resources in proportion to disease burden and regional demands, promoting greater equity.

Improved Resource Allocation

Expected results

1

Identification of structural bottlenecks: studies on the structure and human resources of the SUS can guide decisions on where to modernize health units, hire more professionals or optimize administrative processes.

Implementation of good practices: identification of successful management models in states and municipalities that can be replicated in other regions.

Increased Operational Efficiency

2

Mapping inequities: the project reveals disparities between regions, supporting actions to reduce inequalities in access to and quality of health services.

Regional planning: proposals to direct investments and specific public policies to more vulnerable areas.

Reducing Regional Inequalities

3

Robust indicators: development of new performance indicators that correlate public spending and health outcomes, enabling more accurate assessments.

Continuous monitoring: strengthening monitoring systems to assess the effectiveness of policies and quickly identify gaps or opportunities for improvement.

Better Monitoring and Evaluation of Outcomes

4

Accessible database: production of reports and interactive panels that increase transparency on how SUS resources are applied and their results.

Social engagement: empowering civil society to demand improvements and act in the social control of SUS.

Strengthening Transparency and Accountability

5

Concrete proposals: recommendations for more effective public policies for financing, human resource management and improving health outcomes.

Informed legislation: support for legislative initiatives and regulations based on the project's findings.

Evidence-Based Public Policy Formulation

6

Scientific production: publication of articles, books and reports that consolidate the knowledge generated.

Specialist training: training professionals to work in data analysis, public management and health policy formulation.

Academic and Scientific Impact

7

Reduction of mortality and morbidity: implementation of actions based on the findings can contribute to improving indicators such as infant mortality, healthy life expectancy and control of chronic diseases.

Qualified universal access: improvement in coverage and quality of care in the SUS.

Direct Improvement in Health Indicators

8

Benchmarking: establishing Brazil as a reference in studies evaluating public health systems.

Fundraising: attracting international funding for health projects based on the results presented.

National and International Recognition

9

Institutional strengthening: improving the technical and managerial capacity of the SUS.

Continuous strategic planning: creating a culture of periodic analysis and use of data for efficient public management.

Sustainable Legacy for the SUS

10