Real-World Evidence from Academic Medical Centers - Without Moving Patient Data
Generate multi-center evidence across academic medical centers – validated in IRB-approved studies with results identical to centralized analysis.
Why DataUnite Works for Life Sciences
Clinically credible. Operationally feasible. Built for real-world impact.
Richer Clinical Data - Not Shallow Aggregates
Access high-fidelity clinical data from academic medical centers – including structured EHR data and unstructured clinical notes – to go beyond claim and pre-aggregated datasets.
Collaborate with the Clinicians Who Generate the Data
Work directly with investigators and clinical teams inside participating health systems to design, execute, and interpret studies with clinical context.
Reduced Governance, Expedited Insights
DataUnite’s established relationships with leading academic medical centers cut through the contracting and governance delays that typically slow research, driving faster results.
Virtual Pooling™: End-to-End Multi-Site Study Execution
Not a data aggregator. Not just a federated toolkit. Built to execute real studies.
Studies Run Inside Health Systems
Execute studies directly within participating academic medical centers – data remains under institutional control.
End to End Execution, Not Just Analytics
Support the full, end-to-end study workflow — from cohort definition, data harmonization, and cleaning through analysis and validation — within a single, unified framework.
Equivalence to Pooled Analysis
Validated in real, multi-site studies demonstrating exact statistical equivalence to centralized analysis — without moving patient-level data across institutions.
Deeper Clinical Data
Go beyond structured EHR fields to include unstructured clinical notes and other high-value data sources — enabling precise cohort definition and clinically meaningful endpoints.
PUBLICATIONS
Proven in Real Multi-Institution Studies
Validated through IRB-approved, multi-site studies at leading academic medical centers – without moving patient-level data.