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