Objective: To establish preferred strategies for presenting drug-drug interaction (DDI) clinical
decision support alerts. Materials and Methods: A DDI Clinical Decision Support Conference …

Context and implementation of health interventions have received increasing attention over
the past decade, in particular with respect to their influence on the effectiveness and reach of …

Background The clinical decision support system (CDSS) has become an indispensable tool
for reducing medication errors and adverse drug events. However, numerous studies have …

Concomitant administration of multiple drugs can lead to unanticipated drug interactions and
resultant adverse drug events with their associated costs. A more thorough understanding of …

Purpose Clinical decision support systems (CDSS) may potentially improve prescribing
quality, but are subject to poor user acceptance. Reasons for alert overriding have been …

A CDSS generates a high number of inappropriate alerts that interrupt the clinical workflow.
As a result, clinicians silence, disable, or ignore alerts, thereby undermining patient safety …

Background: Patients with multiple conditions have complex needs and are increasing in
number as populations age. This multimorbidity is one of the greatest challenges facing …

Purpose Recommendations for including drug–drug interactions (DDIs) in clinical decision
support (CDS) are presented. Summary A conference series was conducted to improve CDS …

Background Clinical decision support (CDS) for electronic prescribing systems
(computerized physician order entry) should help prescribers in the safe and rational use of …

Objective To evaluate the potential for machine learning to predict medication alerts that
might be ignored by a user, and intelligently filter out those alerts from the user's view …