Research Data Collection Tool

Ethics-compliant participant intake, validated assessments, and longitudinal tracking.

Research-grade data collection for clinical trials, academic studies, and longitudinal cohort research. Ethics-compliant participant intake, validated assessment instruments, protocol-matched eligibility screening, and structured data exports for SPSS, R, Python, and REDCap.

Start Free

What's included

Ethics-compliant participant consent and intake workflows
Protocol-matched eligibility screening with AI scoring
Validated assessment instruments (PHQ-9, cognitive assessments, PROMIS, SF-36)
Longitudinal survey scheduling and tracking across study timeline
Protocol deviation flagging and adverse event capture
Research-grade data export: SPSS, CSV, REDCap integration
Participant portal with secure data submission
Multi-site research coordination with centralized data management
Data quality monitoring and completeness alerts
Audit trail for GCP and regulatory compliance
Role-based access: PIs, coordinators, data managers, sponsors
PIPEDA, GDPR, and FDA 21 CFR Part 11 compliant

How AI post-processing works

🤖

Every participant submission is automatically processed — eligibility criteria are evaluated against protocol inclusion/exclusion criteria, assessment responses are scored against validated norms, protocol deviations are flagged, and data quality issues are identified before they reach the analysis stage. The AI also monitors longitudinal completion rates, alerting coordinators when participants are at risk of dropping out, and surfaces emerging patterns across the cohort that may warrant protocol review.

📊

Auto-Score

Every response scored against your configured rubrics

📝

AI Summary

Structured summary generated before any human review

🚨

Risk Flags

High-risk submissions flagged and routed immediately

Who it's for

→Clinical research organizations (CROs) running Phase II–IV trials
→Academic research centers and university departments
→Hospital-based research units and ethics boards
→Pharmaceutical and biotech companies conducting research
→Government research agencies and public health institutes
→Digital health companies conducting real-world evidence studies

Use cases

Clinical Trial — Participant Screening & Enrollment

Research coordinators screen participants against protocol criteria via AI-powered intake. AI matches participants to protocols, flags eligibility concerns, and streamlines enrollment.

Protocol-matched eligibility screening intake
AI eligibility scoring against inclusion/exclusion criteria
Longitudinal survey scheduling across study timeline
Protocol deviation flagging and audit trail
Research-grade export (SPSS, CSV, REDCap)

Longitudinal Cohort Study — Long-Term Participant Tracking

Academic research teams track cohorts across months or years with structured assessments at defined intervals. AI monitors completion, flags outliers, and maintains data quality.

Automated survey delivery at protocol-defined intervals
Participant completion tracking with dropout risk scoring
AI outlier detection: responses deviating from expected patterns
Cross-timepoint analytics for longitudinal trend analysis
REDCap integration for existing research infrastructure

Configure & go live

1
Define your study protocol
Enter eligibility criteria, assessment schedule, and outcome measures
2
Configure eligibility screening
Set inclusion/exclusion criteria for AI-powered participant screening
3
Select assessment instruments
Choose from validated library or upload custom instruments
4
Set up longitudinal schedule
Configure survey timing and automated participant reminders
5
Deploy and enroll participants
Share secure participant links or integrate with clinical systems

Average time to live: 4 hours

Start Free

Related Apps

Compliance & Security

PIPEDAGDPRHIPAAREST APISSOCloud & On-Premise

Ready to go live with Research Data Collection Tool?

Book a 30-minute demo and we'll walk you through the app configured for your exact workflow. No commitment required.

Browse All Apps