eCOA Vigilance

Predict Non-Compliance with AI

Know when your participants are at risk of non-compliance before the missed surveys pile up. AI predicts disengagement early and automates the follow-up you don't have time for.

Discover eCOA Vigilance

Rethinking Participant Adherence: What AI Can Reveal Before Compliance Drops

Curebase Head of AI, Grant Rheingold speaking at CNS Summit 2025.

Traditional eCOA Monitoring is Outdated

You only find out about problems after it's too late.

❌ Missed Surveys

Data gaps discovered too late to recover

❌ Silent Dropouts

Participants disengage with no warning signs

❌ Reactive Scrambling

Sites waste time chasing lost participants

eCOA Vigilance: Your AI-Powered Digital Monitor

Running 24/7 to predict and prevent participant dropout

Predictive Analytics

Detects disengagement days before surveys are missed

Actionable Insights

Ranked outreach lists show who needs attention and why

AI Voice Agent

Hope reaches participants with timely reminders and support

Cleaner Data

Higher retention, fewer gaps, stronger trial outcomes

See eCOA Vigilance in Action

Our Head of AI recently presented on eCOA Vigilance. See the slides below to learn more about eCOA Vigilance! Still curious? Reach out for a 1:1 live demo.

eCOA Vigilance: Reimagine PRO Monitoring with AI

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How eCOA Vigilance Works

eCOA Vigilance is Curebase's breakthrough innovation for participant engagement. By applying machine learning to clinical data and behavioral metadata—such as time spent per question, completion speed, and adherence to alerts—the system predicts risks of non-compliance before they occur.

Instead of waiting for missed surveys, it highlights participants most likely to disengage and gives sites a ranked outreach list showing who needs attention, why they were flagged, and what action to take.

Built in with AI is the ability to act on this information: introducing Hope, Curebase's AI voice agent that reaches out directly to participants with reminders, answers, and support. Together, predictive analytics and empathetic communication help study teams act earlier, reduce patient burden, and create a more human trial experience.

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