Evidexia
From Real-World Data to Decision-Grade Evidence



Built for End-to-End Evidence Generation
Evidexia is a real-world evidence platform designed to transform fragmented real-world data into analysis-ready, decision-grade evidence. It supports the full RWE lifecycle-from multi-source data ingestion and harmonization through cohort design, analytics, and evidence generation.
The platform maps data from EHRs, claims, registries, and patient-generated sources into an OMOP-aligned model, enabling more consistent analytics across heterogeneous datasets. Its visual cohort builder helps teams define study populations quickly, evaluate feasibility in real time, and refine study criteria with greater confidence.
Evidexia supports a broad range of RWE study designs, including retrospective cohort studies, case-control studies, interrupted time series, and target trial emulation. With advanced statistical methods and regulatory-aligned workflows, it helps teams generate evidence for regulatory, HTA, market access, and commercial decision-making.
Built to support the full RWE lifecycle from multi-source ingestion to evidence delivery.
Supported Study Designs
From descriptive epidemiology to advanced causal inference and outcomes research.
Observational & Epidemiologic Studies
- Retrospective cohort studies
- Case-control studies
- Cross-sectional studies
- Disease epidemiology studies
Comparative & Causal Inference Studies
- Comparative effectiveness research
- Target trial emulation
- Interrupted time series
- Self-controlled case series
Utilization & Outcomes Research
- Drug utilization studies
- Treatment pattern analysis
- Healthcare resource utilization
- Cost-effectiveness analysis
Ready to Generate Real-World Evidence?
See Evidexia build cohorts and run causal inference studies on 50M+ patient records.
