Feasibility Without Guesswork: Unlocking Genomic and Real-World Data for Faster Study Execution

Clinical trial feasibility has long relied on data that rarely reflects the patients who actually enroll. Site surveys capture what investigators think they've seen, and historical enrollment describes prior studies under different protocols. Neither answers the question that matters: do the right patients, with the right biology, exist at the right sites today?

This webinar introduces a new feasibility standard built on connected real-world evidence: structured clinical data, genomic and biomarker profiles, and unstructured clinical notes. TriNetX's Samantha Eells, Solutions and Market Lead for Clinical Operations, and Mark Hughes, Genomics Solution Engineer, show how to translate complex eligibility criteria, including molecularly defined requirements, into queryable variables and identify sites with both the patients and the evidence to enroll, before sites are selected, not after.

For precision medicine, oncology, and rare disease programs, where ICD and CPT codes alone can't define the eligible population, this approach reduces the risk of missed targets, delayed timelines, and costly protocol amendments. Watch to learn how to select sites based on confidence, not assumption.

Speakers

Samantha Eells
Solutions and Market Lead for Clinical Operations
TriNetX

Mark Hughes
Genomics Solution Engineer
TriNetX