Predicting clinically significant medication errors: Development and validation of a risk stratification model using incident reporting data
Background Medication error reporting systems capture large volumes of incidents, yet only a small proportion lead to clinically significant patient outcomes. Distinguishing these high-risk errors from the majority of low-impact events remains a major challenge for healthcare systems. This study aimed to develop a pred...