In many healthcare systems, data is available, reports are piling up, and indicators are produced on a regular basis. Yet transforming this information into concrete, coherent, and strategic decisions remains a major challenge.
This is precisely where “decision science” applied to public health comes into play.
Today, decision-makers must navigate an increasingly complex environment
- data proliferation;
- budget constraints;
- public health emergencies;
- new technologies;
- the public's growing expectations;
- and pressure to demonstrate the actual impact of health care investments.
In this context, simply having data is no longer enough. It is becoming essential to know:
- what data to use;
- how to interpret them;
- how to deal with uncertainty;
- and how to translate scientific evidence into operational decisions.
Decision science draws on several complementary disciplines:
- epidemiology;
- biostatistics;
- health economics;
- risk-benefit assessment;
- modeling;
- real-world data;
- regulatory science.
In particular, it allows you to:
- to improve the prioritization of interventions;
- to optimize resource allocation;
- to inform vaccination policies;
- to support regulatory decisions;
- and strengthen health systems.
In sub-Saharan Africa, the need for assistance in this area is becoming particularly acute due to:
- the introduction of new vaccines;
- an increase in performance-based funding;
- the development of regulatory authorities;
- and the need to generate more local data.
At CEHPI, we believe that the future of African health systems will increasingly depend on structured decision-making approaches that are grounded in robust evidence and tailored to local realities.
With this in mind, CEHPI conducts research, provides consulting services, and offers training aimed at strengthening the analytical and decision-making capabilities of healthcare professionals and institutions.
