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
The complete case study, including detailed timelines and additional context, is published on the Neutrino site.
Read on neutrinotechsystems.com →More in Healthcare
Healthcare Data Platform Modernization for Scalable Analytics
Modernized legacy healthcare data warehousing onto a cloud-native lakehouse with built-in governance and lineage.
Automating Medicare Cost Reporting
Automated Medicare cost reporting pipeline with reconciliation and CMS submission readiness.
AI Voice Bot for US Healthcare Customer Support
Domain-tuned voice bot for a US healthcare provider — patient verification, support triage, and routing.
Explore Neutrino AI
Healthcare-focused AI ecosystem for patient access, interoperability, workflow intelligence, and operational transformation — AccessHub, AccessFlow, AccessFabric, and the Payor Rules Engine.