Data Quality Signal Detection and Management
From reactive monitoring, to proactive mitigation
Automate the detection, evaluation, and resolution of data quality, compliance, and patient safety risks across your clinical trials. Clinical Data Studio centralizes data streams and uses real-time analytics, automated alerts, and CTMS integration to surface critical signals weeks earlier than traditional methods—eliminating manual tracking and ensuring trial integrity.
Download OverviewAutomated Multi-Source Risk Detection
· Ingests data continuously from EDC, ePRO, labs, and audit trails to flag risk signals instantaneously.
· Employs Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), Central Statistical Monitoring (CSM), Patient Profile flags, and Audit Trail Reviews (ATRs).
· Surfaces critical risk patterns weeks earlier than traditional periodic manual reviews.
Automated Workflows & CTMS Integration
· Automatically populates signal descriptions with context data and recommended follow-up actions.
· Automatically routes signals directly to responsible team members for rapid root cause analysis and aggregation.
· Integrates bi-directionally with Medidata CTMS to eliminate manual spreadsheets and redundant data entry.
Objective & Consistent Signal Surveillance
· Applies standardized thresholds and algorithms across all trial data to eliminate subjectivity and human error.
· Identifies statistical outliers, data rounding, duplicate patients, and unexpected data access patterns automatically.
· Filters out minor anomalies so teams focus only on high-priority safety and compliance risks.
Comprehensive Safety & Compliance Oversight
· Detects emerging adverse event trends, missing safety reports, and protocol eligibility violations in real time.
· Tracks site compliance, training gaps, query response lags, and high SDV failure rates.
· Triggers targeted site retraining, remote interventions, or medical monitoring escalations instantly.
End-to-End Auditability & Regulatory Compliance
· Automatically logs every flag, review decision, root cause evaluation, and corrective action taken.
· Maintains a clear, centralized audit trail for seamless inspection by regulatory authorities.
· Verifies and documents complete resolution of issues across the entire trial lifecycle.
· Ingests data continuously from EDC, ePRO, labs, and audit trails to flag risk signals instantaneously.
· Employs Key Risk Indicators (KRIs), Quality Tolerance Limits (QTLs), Central Statistical Monitoring (CSM), Patient Profile flags, and Audit Trail Reviews (ATRs).
· Surfaces critical risk patterns weeks earlier than traditional periodic manual reviews.
Featured Resource
eBook: 7 Silent Quality-killers of Clinical Trial Success
Clinical trials rarely fail because of a single, visible breakdown.Risk often accumulates in small ways—across protocol design, data flow, and operational execution—where underlying issues begin early and go unaddressed. Read about the most common quality-killers and how to spot, prevent, and address them before they impact study performance.
Download eBook
More Resources
Read the latest blog: Signal Management in Clinical Trials: The Impact of Automation
Read Blog Post