Software & Integrations · Platforms

Senza ARCClinical trial intelligence.

Protocol feasibility, site selection, and enrollment monitoring modeled against real patient populations before the protocol is locked, so the enrollment cliff shows up early. Built by operators who run Epic and MEDITECH environments, so site burden and clinical workflow are design inputs.

Model a draft protocol How it works

How It Works

From protocol to site activation.

Define

Protocol criteria translate into computable cohort logic against EHR and claims data.

Locate

Feasibility runs across participating networks to find where eligible patients receive care.

Qualify

Site capacity, investigator history, and referral patterns rank the shortlist before outreach begins.

Monitor

Enrollment and retention track against forecast, with drift flagged while the study can still respond.

Who Uses It

Three seats at the same table.

Site selection grounded in where the patients are, so enrollment forecasts survive contact with reality.

Research becomes a service line with visible capacity across every investigator.

Feasibility evidence that stands up in a bid defense, drawn from clinical data rather than survey response.

Real-World Evidence

Computable endpoints from normalized EHR data.

Label expansion and post-market commitments on evidence with audit trails that stand up to IRB and regulatory scrutiny, with governance built into the workflow.

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Cohort projections with subgroup analysis, refreshed as screening data lands

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Normalized EHR data through Rosetta, so endpoints are computable

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Audit trails for IRB and regulatory review

Thirty minutes with the Senza ARC team.

Bring a draft protocol and we will model its feasibility.