Turning real-world evidence into protocol-ready insights, safety intelligence, and site strategy.
Real-world data is reshaping how clinical programs are designed, executed, and approved. We help organizations harness RWD effectively—ensuring data is fit for purpose, compliant, and decision-ready.
Our RWD capabilities span protocol design support through standards harmonization, giving your team the intelligence to move faster and with greater confidence.
Leverage RWD to support protocol feasibility, endpoint selection, and comparator arm design.
Use real-world data to inform protocol design—identifying feasible endpoints, realistic patient populations, and evidence-based comparators.
Analyze RWD to surface safety signals early, support benefit-risk assessments, and inform pharmacovigilance strategies.
Identify optimal trial sites using real-world patient data—improving enrollment predictions and reducing startup timelines.
Map and transform real-world datasets to the OMOP Common Data Model, enabling federated analysis and cross-network research.
Align clinical and real-world data to SDTM and ADaM standards, supporting regulatory submissions and integrated data analysis.
Combine interventional and real-world data for comparative effectiveness research, health economics, and market access support.
We bring hands-on implementation experience with the standards that matter most in real-world evidence generation.
Source-to-OMOP ETL design, vocabulary mapping, quality assessment, and network-ready data packages.
RWD-to-SDTM mapping, ADaM dataset derivation, define.xml, and reviewer's guide authoring for regulatory submissions.
Whether you're designing a protocol or preparing a regulatory package—we bring the standards expertise and clinical context to make it work.
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