But i’ve been reviewing some of our recent clinical datasets, and it’s been eye-opening how easily data integrity can slip through the cracks during entry. For example, I noticed a discrepancy with patient identifiers in our trial database that could lead to serious issues down the line. Has anyone else encountered similar challenges, and what strategies have you implemented to ensure accurate data management?