Real-World Evidence (RWE) Analytics
EHR, claims, registry, and patient-derived real-world data
Real-World Evidence (RWE) analytics transforms observational healthcare data into actionable insights for drug development, regulatory submissions, and post-market surveillance. Our platform integrates EHR records, insurance claims, disease registries, and patient-reported outcomes to support evidence generation across the full product lifecycle.
EHR / EMR Analytics
Structured clinical data from 200M+ patient records
Treatment patterns, comorbidity analysis, lab trends
Claims-Based Studies
Commercial & Medicare claims at 95% coverage
Utilization, cost, adherence, market share
Disease Registries
SMA, CF, Hemophilia, rare disease & oncology
Natural history, long-term outcomes, PROs
RWE Use Cases
- -FDA Real-World Evidence Program submissions (21st Century Cures Act)
- -Post-authorization safety studies (PASS) and REMS compliance data
- -Healthcare utilization & cost-effectiveness analysis for HTA submissions
- -Label expansion feasibility & supplemental indication data packages
- -Patient journey mapping from diagnosis through treatment initiation
- -Comparative effectiveness vs. standard-of-care benchmarks
Electronic Health Record (EHR) Longitudinal Analysis
Extracting clinical endpoints and safety signals directly from primary care and hospital physician notes via NLP.
Patient Cohort
Data Latency
NLP Accuracy
Key Findings & Signals
- ▪Identified unlisted mild cardiovascular events in 1.2% of Type 2 Diabetes cohort.
- ▪Average time to diagnosis reduced by 14 months using early clinical biomarker detection.
- ▪Confirmed high correlation between early elevated HbA1c and secondary retinal complications.
Translate