Datavant Insights and Evidence Generation
Accelerate evidence generation with confidence and precision
Unify data, workflows, and teams with a single RWE platform to deliver fast, reproducible, decision-grade evidence.
Section heading
Scale evidence generation
Drive operational effiiciency
Ensure rigorous, reproducible evidence
Accelerate evidence generation with guided workflows and reusable definitions while retaining full analytic flexibility through native integration with R, SQL, and Python.
A unified environment improves reproducibility, reduces fragmentation, and supports cross-functional collaboration across clinical, safety, HEOR, and commercial teams.
Whether establishing an RWE strategy or answering a specific research question, Datavant’s scientific services leverage the expertise of 60+ epidemiologists and scientific experts to deliver credible, reproducible evidence.
Rapid results to meet healthcare’s most critical needs.
Datavant’s RWE Generation solutions enable rapid, reliable evidence – delivering results in half of the time of traditional methods, without compromising accuracy.
Software modules for diverse users and use cases
Measure and Cohort Builder
Lets users build point-and-click measures for clinical concepts, such as diagnoses, therapies, and scores, then apply them to filter datasets and identify patient populations using templated cohorts.
Guided Analyses
Guides users through building statistical analyses using populations from the Cohort Builder with templated study workflows such as Descriptive, Comparative Effectiveness, Prevalence & Incidence and Adherence.
Coding Workbench
Supports coders in analytic dataset preparation and analysis. Through integration with the measure builder and cohort builder, researchers can focus on complex analyses, without having to spend time on data preparation.
Blog
Built for Scientific Rigor: How Datavant Delivers Methodologically Defensible Real-World Evidencence
Advance from exploratory analyses to regulatory-ready RWE with disciplined, reproducible methods.
Blog
ICH M14 Guideline: General Principles on Planning, Designing, Analysing, and Reporting of Non-interventional Studies That Utilise Real-World Data for Safety Assessment of Medicines
Meet ICH M14 standards with transparent, regulator-aligned real world evidence generation.
