Malfunctions in clinical decision support (CDS) alerts are sometimes caused by unintentional programming changes to CDS alerts. However, few tools exist for monitoring changes to alert logic. We developed a tool that automatically identifies changes to CDS logic and sends a daily summary of changes to the team responsible for maintaining CDS alerts at our institution. Initial testing showed that the daily emails were useful and helped uncover several unintended changes to CDS alerts.
Learning Objective 1: Articulate the need for tools that monitor clinical decision support alerts, and describe potential benefits of tools that automatically detect changes to clinical decision support rule logic.
Skye Aaron (Presenter)
Brigham and Women's Hospital
Dustin McEvoy, Partners HealthCare
David Rubins, Brigham and Women's Hospital
Adam Wright, Brigham and Women's Hospital