What You Ought to Know:
– Century Well being has introduced a strategic partnership with Datavant Join—powered by AWS Clear Rooms—to deliver AI-curated, disease-specific datasets on to pharmaceutical and life sciences corporations by a safe, no-data-movement platform.
– By becoming a member of Datavant’s Lighthouse Associate Program, Century Well being allows researchers to find and assess high-quality, longitudinal medical knowledge in minutes—not months—with out accessing or transferring delicate affected person info. This considerably reduces feasibility evaluation timelines and enhances the precision of data-driven analysis.
Century Well being and Datavant Associate to Speed up Actual-World Information Entry for Life Sciences
Century Well being’s AI-powered platform extracts beneficial insights from traditionally inaccessible, unstructured EHR knowledge (together with medical notes and free-text stories), remodeling it into enriched, retrospective datasets which might be instantly relevant to advanced analysis questions.
Key advantages of the collaboration embrace:
- Zero ETL knowledge entry through AWS Clear Rooms and Datavant Join, preserving privateness and possession
- Speedy discovery and analysis of fit-for-purpose datasets in neurology, immunology, and pulmonology
- Help for real-world knowledge adoption, a part in 85% of FDA-approved therapies between 2019–2021
- Deeper medical insights than conventional sources like claims knowledge, streamlining trial design and lowering value
This collaboration makes Century Well being’s AI-enriched knowledge discoverable inside the Datavant ecosystem, permitting seamless integration through tokenization and supporting cross-dataset linkage with out compromising knowledge constancy.
“By making our curated medical datasets accessible by Datavant Join, life sciences corporations can now consider fit-for-purpose knowledge in minutes, not months,” stated Vish Srivastava, CEO of Century Well being.
Collectively, Century Well being and Datavant are advancing a extra accessible, safe, and interoperable future for medical analysis and drug improvement.
