TY - JOUR AU - Bakker, T. AU - Klopotowska, J. E. AU - Eslami, S. AU - de Lange, D. W. AU - van Marum, R. AU - van der Sijs, H. AU - de Jonge, E. AU - Dongelmans, D. A. AU - de Keizer, N. F. AU - Abu-Hanna, A. PY - 2019 DA - 2019/08/13 TI - The effect of ICU-tailored drug-drug interaction alerts on medication prescribing and monitoring: protocol for a cluster randomized stepped-wedge trial JO - BMC Medical Informatics and Decision Making SP - 159 VL - 19 IS - 1 AB - Drug-drug interactions (DDIs) can cause patient harm. Between 46 and 90% of patients admitted to the Intensive Care Unit (ICU) are exposed to potential DDIs (pDDIs). This rate is twice as high as patients on general wards. Clinical decision support systems (CDSSs) have shown their potential to prevent pDDIs. However, the literature shows that there is considerable room for improvement of CDSSs, in particular by increasing the clinical relevance of the pDDI alerts they generate and thereby reducing alert fatigue. However, consensus on which pDDIs are clinically relevant in the ICU setting is lacking. The primary aim of this study is to evaluate the effect of alerts based on only clinically relevant interactions for the ICU setting on the prevention of pDDIs among Dutch ICUs. SN - 1472-6947 UR - https://doi.org/10.1186/s12911-019-0888-7 DO - 10.1186/s12911-019-0888-7 ID - Bakker2019 ER -