Clinical Enrollment Intelligence
Part of the Sutra Suite·Sutra Enroll
Enrol faster. Forecast earlier. Lose fewer days to recruitment.
Clinical trial delays cost an estimated $800,000 per day in lost drug sales — and 37% of delays are attributed to recruitment challenges (Tufts Center for the Study of Drug Development (CSDD), 2024). Sutra Enroll brings AI to the part of the trial that fails most often.
What Clinical Operations teams deal with.
- ●Slow, manual eligibility screening across Electronic Health Records (EHRs).
- ●Biomarker-defined patient subpopulations that are difficult to identify without AI.
- ●Enrollment shortfalls discovered too late to course-correct.
- ●Site performance opaque until timelines slip.
Estimated lost drug sales during a single day of clinical trial delay. 37% of trial delays are attributed to recruitment challenges.
Source: Tufts Center for the Study of Drug Development (CSDD), 2024
How Sutra Enroll works.
Matches patient profiles against trial eligibility criteria using structured and unstructured Electronic Health Record (EHR) data — surfacing qualified candidates at scale.
Identifies biomarker-defined patient subpopulations relevant to the trial, drawing on literature and registry data.
Predicts enrollment timeline and site performance risk — giving operations teams early warning before delays compound.
Tracks and analyses site-level enrollment performance, flagging under-performing sites before they impact overall trial timelines.