Yesterday's no could be an enrollee tomorrow. If you know why.

Clinical trial recruitment intelligence uses AI to connect structured screening data — eligibility outcomes, lab results, protocol criteria — with unstructured communications like coordinator notes, patient emails, and call logs. Instead of treating each study as a fresh start, recruitment intelligence builds cumulative knowledge across protocols so you can identify qualified patients faster and retain institutional context between studies.

Overstand ingests screening records, coordinator notes, patient communications, lab results, eligibility criteria, and intake forms — and analyzes them as a unified dataset. It identifies patients whose exclusion criteria have resolved, matches prior screen failures to new protocol criteria, and surfaces coordinator context that would otherwise be lost between studies.

Recruitment intelligence is effective across therapeutic areas and trial phases, but is particularly impactful for oncology, rare disease, and any indication where eligible patient populations are small and recruitment timelines are tight. Any trial where you need to find patients who have already been through your screening pipeline benefits from cross-study intelligence.

Traditional clinical trial management systems track enrollment status and site metrics — they tell you how many patients screened and enrolled. Overstand goes further by analyzing the why behind screening outcomes, connecting unstructured coordinator notes to structured data, and identifying patients from prior studies who may qualify for new protocols. It doesn't replace your CTMS; it makes the data inside it actionable.

Yes. When a new protocol opens, Overstand automatically cross-references its eligibility criteria against your historical screening database — including patients who were excluded for transient reasons, declined for logistical reasons that may have changed, or completed prior studies and expressed interest in future participation. This turns your screening history into a recruitment pipeline.

Coordinator notes, call logs, and patient emails are typically trapped in individual study files or personal notebooks. Overstand captures and indexes this unstructured context alongside structured screening outcomes, so when a coordinator notes 'patient interested in future studies' or 'exclusion criterion likely to resolve,' that context is searchable and matchable against future protocols.

Overstand identifies patterns like which logistics barriers resolve most often (relocation, job changes, caregiver availability), which study design features cause the most declines (visit frequency, randomization, administration method), and which patient preferences shift over time. It also surfaces which sites re-screen effectively, which outreach methods convert, and where your patient pipeline has untapped potential. These patterns help optimize both protocol design and recruitment strategy.

Yes. Overstand's infrastructure is designed to meet HIPAA requirements for protected health information. Patient data is encrypted at rest and in transit, and access is role-based so coordinators, PIs, and sponsors see only what they need. See the security section above for more details.

Overstand can process years of historical screening data — thousands of records, coordinator notes, and communications — and surface cross-study matches within hours of ingestion. Sites typically see their first re-eligible patient lists within a day of onboarding, compared to weeks of manual chart review.

Yes. Overstand can unify screening data and coordinator communications across multiple sites within a trial network, identifying cross-site patterns and ensuring that a screen failure at one site isn't lost when the patient could qualify at another. Multi-site intelligence is particularly valuable for trials with geographic eligibility requirements or satellite site expansion.