A deployment like this targets a 35-50% increase in trial enrollment within the first 12 months - as a stated assumption, $600K - $1.5M in additional annual trial revenue depending on your sponsor relationships and trial volume. The coordinator target is 6-10 hours per week reclaimed from manual chart review, reallocated to higher-value enrollment conversations and protocol compliance tasks. The accuracy targets: 20-30% better match precision, because the system doesn't fatigue, and a 15-25% drop in false positives - patients flagged as eligible but ineligible upon review - reducing coordinator wasted effort and improving sponsor confidence in your enrollment data.
Over 12 months post-deployment, ROI compounds as the model learns from your enrollment patterns. Early months show enrollment velocity gains (faster time-to-first-patient, higher conversion rates). By month 6-9, improved match precision reduces coordinator review burden further, with a target of one coordinator managing 40-60% more active trials. By month 12, the goal is preferred-site status with sponsors - higher trial volume, faster enrollment, cleaner data - creating a virtuous cycle. Cumulative first-year ROI is modeled to exceed 250-350% when factoring in enrollment revenue, coordinator productivity gains, and reduced sponsor audit findings.