Pinpoint Data Quality Issues with CluePoints' Data Quality Oversight Service

CluePoints’ Data Quality Oversight identifies atypical centres, countries, regions and patients. Data is comprehensively analyzed to get a quality stamp on data submitted. This ensures that data submitted to Regulatory Authorities is of the appropriate quality and affords sponsors with the ultimate risk mitigation tool to enable Risk-Based Monitoring (RBM)

Pinpoint Data Quality Issues

Pinpoint potential quality issues within all clinical and operational data

Introduce Key Risk Indicators

Revise or introduce new Key Risk Indicators (KRIs) based on the output of the Data Quality Assessment

Identify Discrepancies

Identify any discrepancies across primary endpoint and safety data with extreme data scores to focus on areas that matter most in the study

Define Critical Domains

Define critical domains within studies, such as safety data or primary/secondary endpoints, with a view to analyzing only the data that matter

Analyze Variables

Analyze every variable relevant to the critical elements and surface significant anomalies across sites

Investigate Outliers

Enable Clinical Operations staff or Data Managers to easily drill down into outliers and determine any corrective action required

Enable Operational Workflows

Enable operational workflows using the in-built Issue Tracking Management System

CluePoints’ Data Quality Oversight identifies atypical centres, countries, regions and patients. Data is comprehensively analyzed to get a quality stamp on data submitted. This ensures that data submitted to Regulatory Authorities is of the appropriate quality and affords sponsors with the ultimate risk mitigation tool to enable Risk-Based Monitoring (RBM)

Pinpoint Data Quality Issues

Pinpoint potential quality issues within all clinical and operational data

Introduce Key Risk Indicators

Revise or introduce new Key Risk Indicators (KRIs) based on the output of the Data Quality Assessment

Identify Discrepancies

Identify any discrepancies across primary endpoint and safety data with extreme data scores to focus on areas that matter most in the study

Define Critical Domains

Define critical domains within studies, such as safety data or primary/secondary endpoints, with a view to analyzing only the data that matter

Analyze Variables

Analyze every variable relevant to the critical elements and surface significant anomalies across sites

Investigate Outliers

Enable Clinical Operations staff or Data Managers to easily drill down into outliers and determine any corrective action required

Enable Operational Workflows

Enable operational workflows using the in-built Issue Tracking Management System