TriNetX ads

Teams that commit to dataset access before December 31 don't just protect their budget, they put it to work immediately. Dataset delivery in as little as two weeks from contract signing means Q4 commitments translate directly into Q1 capability. That's a head start January procurement simply can't deliver.

Demonstrating unmet need to regulators and payers requires a robust evidence base, and building it takes time. For teams preparing for launch, securing dataset access before year-end means more time to build the evidence base that regulators, payers, and HTA bodies will scrutinize. The earlier access is confirmed, the more runway your evidence generation has.

Structured EHR data answer many research questions well. NLP-extracted Facts from Clinical Notes extends that foundation with validated, query-ready clinical detail to support more precise cohort definition, outcome measurement, and evidence generation. The result? Cohorts defined on clinical reality. Evidence that withstands the scrutiny regulatory audiences apply.

Strong grant applications start with strong evidence. Structured EHR data answer most research questions well. For studies that require additional clinical detail, NLP-extracted Facts from Clinical Notes adds validated, query-ready facts to support deeper analyses and more confident research. The result? Stronger evidence. Faster submissions.

Structured EHR data provide a strong foundation for study planning. NLP-extracted Facts from Clinical Notes adds validated, query-ready clinical facts to help identify patients more precisely and support confident feasibility decisions. The result? Better-informed recruitment and site selection planning.

A strong study starts with the right patients. Structured EHR data answers most research questions well. But when your study depends on disease stage, performance status, biomarker results, or smoking history, additional clinical context can make all the difference. NLP-extracted Facts from Clinical Notes adds validated, query-ready clinical detail, helping you build more precise cohorts with greater confidence. The result? Studies that reflect the full clinical picture your patients represent.