Population health analytics

Who is your population, where does risk concentrate and which groups are left out?

What you get

Population segmentation, the factors that weigh most in each group, and dashboards your team can use without waiting for an analyst.

Who it is for

Insurers, health systems, health departments and public health programs.

Interpretable risk models

With the resources you have, who should you reach first?

What you get

Points-based scorecards built, validated and calibrated on your own data, where every point can be explained. See the type 2 diabetes example.

Who it is for

Prevention programs, risk management and clinical teams.

Geographic and service-network analysis

Where is installed capacity, how is the network connected and which areas depend on a few places?

What you get

Maps and network analysis with registry and care data, from a single municipality to the whole network. See Colombia’s hospital capacity network.

Who it is for

Governments, provider networks, insurers and planners.

Health informatics and digital tools

How do we turn the data we already have into timely, useful information?

What you get

Data integration, data models, dashboards and digital tools built for the real workflow.

Who it is for

Health systems, providers, pharma and medtech.

Program design and evaluation

What should the program focus on, how do we measure it and what did we learn?

What you get

Prioritization, interventions designed for each group’s context, and evaluation with the method the question requires, separating association from effect.

Who it is for

Prevention programs, funders and community organizations.

Applied research and science communication

How do we turn a finding into publishable evidence and a clear message?

What you get

Protocols, analysis, manuscripts, materials and funding proposals, with academic rigor and plain language.

Who it is for

Universities, researchers, pharma and organizations seeking funding.