An Introduction to Reconciliation in Clinical Data Management [Video]

Clinical data reconciliation is the practical discipline of making sure different trial systems describe the same event in the same way. This short explainer breaks down what reconciliation means in day-to-day clinical data management, why it matters for patient safety oversight and database lock readiness, and how to set it up so it works throughout conduct rather than becoming a last-minute clean-up.

We cover the main reconciliation streams teams typically manage, including safety reconciliation between EDC and pharmacovigilance systems, central laboratory data checks for subject and visit matching, units and reference ranges, and reconciliation across third-party vendors such as randomisation, imaging, ECG, ePRO, and device feeds. You’ll also hear the practical flow that supports inspection-ready delivery, from clear transfer specifications and UAT testing, to automated exception checks, robust documentation, and change control when vendor formats drift.

At Quanticate, our data management and biometrics teams help sponsors build risk-focused reconciliation processes that are systematic, traceable, and aligned to what matters most for safety and primary endpoints. Request a consultation today.