Clinical data review is the ongoing examination of trial data to assess whether it is accurate, complete, consistent, and suitable for study decisions. This video explains how timely, connected review supports subject safety, trial conduct, medical review, and confidence in the final interpretation.
WHAT THIS VIDEO COVERS
• How reviewers identify patterns, missing context, and relationships across trial data
• How ALCOA plus plus principles support reliable and traceable data
• Why delayed review can limit investigation and corrective action
• How data from EDC, laboratories, imaging, wearables, and other sources are reviewed together
• Where automation, dashboards, and human judgement each contribute
• How risk-based planning, ownership, audit trails, and query turnaround shape the review process
Effective clinical data review depends on more than finding errors before database lock. Teams need a planned review model that connects the right data at the right time, defines responsibilities, and focuses attention on findings that could affect safety, protocol conduct, or study decisions.
Quanticate’s clinical data management team supports sponsors with practical, study-specific data review strategies designed to improve visibility, maintain data quality, and support confident decision-making throughout trial delivery. Whether you need support with data management planning, ongoing review workflows, or broader oversight across complex data sources, our team can help you build a process that is both robust and workable. Request a consultation today.