From the team
Enrollment intelligence, explained
Clinical trial operations, EHR data quality, and the infrastructure behind faster enrollment — from the people building Patientrig.
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Reducing Screen Failure Rates: A Practical Guide for Site Coordinators
Screen failure rates of 30–40% aren't inevitable. Here's what structured pre-screening looks like when coordinators have the right data before the first outreach call.
EHR Data Quality and the Enrollment Funnel: What Incomplete Records Cost You
Missing lab values and incomplete medication histories silently exclude eligible patients from ever appearing in your screening pool. What the gaps actually look like — and how to work around them.
Decoding Inclusion/Exclusion Criteria at Scale: Why Protocol Language Is Harder Than It Looks
Temporal clauses, nested conditionals, lookback windows — I/E criteria are written for regulatory reviewers, not databases. What makes automated parsing genuinely hard.
Why Clinical Sites Miss Eligible Patients (And What the EHR Already Knows)
The information to identify trial-eligible patients already exists in most hospital EHRs. The gap is structural, not data-related — and it explains why enrollment consistently runs behind schedule.