NextTrial Study 360

Intelligence for Faster, Better Trials

Fast-track study startup, optimize patient recruitment, and unlock real-time trial intelligence by uniting operational, clinical, and real-world data into a single, validated source of truth.

From protocol design and feasibility planning to site activation, study conduct, and submission readiness, NextTrial Study 360 delivers end-to-end visibility and control across the full study lifecycle.

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Benefits

Smarter Study Design

Optimize protocols with real-time data, historical benchmarks, and predictive models to reduce amendments and accelerate study startup.

Efficient Study Conduct

Monitor site performance, patient adherence, and operational metrics in real time, enabling proactive issue resolution and smoother trial execution.

Accelerate Patient Recruitment

Leverage integrated data and intelligent matching to identify, engage, and enroll the right patients faster while improving retention and reducing dropouts.

Streamlined Submissions

Streamline regulatory submissions with automated validations, full traceability, and compliance assurance, reducing delays and meeting global standards.

Features

Data Ingestion and Standardization

Ingests data from EDC, CTMS, eCOA, eTMF, labs, wearables, safety systems, and other study sources seamlessly. Automated mapping, standardization, CDISC alignment, and a dynamic metadata layer maintain full Study → Site → Subject hierarchy through amendments and continuous refresh cycles.

Study Oversight and Monitoring

Operational metrics, quality indicators, and subject journey signals are continuously computed from live study data. Dashboards surface enrollment velocity, query trends, protocol deviations, SDV/SDR progress, and risk indicators, enabling proactive monitoring and RBQM-aligned oversight.

Operational Signal Workflow

Study 360 provides connected workflows spanning startup, central monitoring, issue escalation, and closeout. Queries, deviations, and site-level issues are routed to responsible roles with SLA tracking, while archival, lock readiness, and documentation completeness are automated for inspection preparedness.

Advanced Analytics and Forecasting

Predictive models forecast enrollment, site performance, protocol deviation risk, and patient dropout likelihood based on real study patterns. Scenario planning tools simulate site additions/removals and operational plan changes, providing timeline and cost impact projections before execution.