Targeted Data Quality Assessment focuses on a monthly analysis to pinpoint potential quality aspects that really matter within clinical and operational data. The sponsor can also determine its future Key Risk Indicators(KRIs) based on the output and identify discrepancies with extreme data scores that are observed.
This approach allows users to select critical domains within a study, such as safety data or primary /secondary endpoints, with a view to analyzing only these data that matter. The CluePoints engine will analyze every variable pertaining to these critical elements and surface all significant anomalies across sites. The resulting visualization of results enables Clinical Operations staff or Data Managers to easily drill down into outliers and determine the corrective action required.
This is a more comprehensive analysis of important data but still easily interpretable by stakeholders within the study to find and remediate errant data and other anomalies.