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- What is Data Validation?
- Where is it used in clinical trials?
- How does Clinion implement it?
- What does it look like in practice?
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What is Data Validation?
Data validation is the process of reviewing and checking clinical trial data against predefined study rules, protocols, and system checks. It helps identify missing entries, inconsistencies, or unexpected values so that issues can be corrected before the data is used for analysis, reporting, and regulatory purposes.
Where is it used in clinical trials?
In clinical trials, data validation is applied across multiple stages of the study, beginning with data entry at the site level and continuing through ongoing data review. It is used during monitoring visits, data cleaning activities, interim analyses, and final database preparation to ensure the data is ready for analysis and regulatory submission.
How does Clinion implement it?
Clinion handles data validation through its integrated EDC system by applying automated checks and controlled workflows as data is entered into eCRFs. The system flags missing, inconsistent, or out-of-range values, generates queries, and tracks their resolution in real time.
Data managers and study teams can monitor progress through dashboards, review audit trails, and confirm that all validation checks are complete, ensuring the data is clean, reliable, and ready for analysis or reporting.
What does it look like in practice?
In practice, data validation is an ongoing process that runs continuously throughout a clinical trial. As site staff enter patient data into eCRFs, automated validation rules immediately flag missing, out-of-range, or inconsistent entries, triggering queries for site staff to resolve. Real-time dashboards provide oversight by displaying key metrics such as open queries by site, data completion rates, and critical errors requiring attention. These dashboards help study managers identify sites needing support and ensure data cleaning stays on schedule. Comprehensive audit trails document every entry and change, creating a transparent record that ensures data is thoroughly vetted and ready for analysis and regulatory submission.
Category
EDC & Data Management