HEOR

We develop and implement HEOR strategies to ensure the right evidence supporting your healthcare innovation meets the demands of payers, HTA organizations, policymakers, and other healthcare stakeholders.

We leverage state-of-the-art evidence synthesis techniques—network meta-analysis, population-adjusted indirect comparisons, external controls, validation of surrogate endpoints, and living evidence synthesis—to overcome gaps in the evidence base and to understand the value of your healthcare innovation.

We develop credible evidence-based health economic models to quantify the value and population health impact of your healthcare innovation: cost-effectiveness and budget impact models to support HTA submissions and payer discussions, generalized cost-effectiveness analysis incorporating novel elements of value, treatment sequence comparisons, and health equity impact evaluations with distributional cost-effectiveness analysis.

We quantify disease burden, treatment patterns, and treatment effects, and assess patient, provider, and payer preferences using a wide range of existing RWE data sources and primary data collection.