Clinical decision support can improve the quality and safety of patient care, however many imprecise or poorly targeted alerts are overridden, leading to alert fatigue. Two mechanisms to elicit end-user feedback were piloted with robust response rates. User feedback lead to refined targeting of alerts, and the identification of a faulty logic statement that was missed in pre-production testing. Incorporating end-user feedback is a useful tool that can help make existing CDS tools more effective.

Learning Objective 1: Formulate an approach to elicit and receive end-user feedback on the effectiveness of clinical decision support.

Learning Objective 2: Understand how end-user feedback can be incorporated into the refinement stage of the clinical decision support lifecycle.


Sayon Dutta (Presenter)

David Rubins, Brigham and Women's Hospital
Adam Wright, Brigham and Women's Hospital

Presentation Materials: