Real World Data Analytics Platform for Clinical Insights
Engineered a real-world data analytics platform unifying claims, EHR, and lab data into clinical insights for life-sciences research.
The problem
A life-sciences customer needed to bring real-world claims, EHR, and lab data into a single analytical platform — with consent, lineage, and cohort-discovery latency tight enough to support active research programs.
How we engineered it
- 1Modern lakehouse architecture on Snowflake with FHIR R4 as the canonical clinical data model
- 2Identity resolution across claims, EHR, and lab feeds with measurable match quality
- 3Cohort-discovery API surfaced to research teams with sub-second response on common queries
- 4Lineage and consent propagation engineered into every data contract
What shipped
Measured outcomes from the program — not promises.
What we built it on
Access the complete case study — including detailed timelines, architecture decisions, and measurable outcomes.
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