Prescribers can overlook important alerts because of common alert fatigue arising from a hail of false-positive drug-drug interaction (DDI) alerts. To make alerts relevant again, the development of more appropriate alerts is required. The potential for patient-specific DDI alerts to reduce alert burden was recently assessed by American researchers, who generated patient-specific, algorithm-based DDI alerts from the seven most common DDI alerts. 14 algorithms were developed and assessed by comparing the number of alerts produced over 30 days by the patient-specific algorithms and the existing, customised clinical decision support (CDS) software. Over this period, an average of 185.3 alerts per drug pair were produced by the CDS DDI alerting software and the number of alerts resulting from patient-specific algorithms was reduced by 11.3% to 93.5%. The outcome of the study shows that patient-specific DDI alerts have the potential to reduce the number of DDI alerts and increase alert relevance. Details of the original study, published in the Annals of Pharmacotherapy, can be viewed here.