Evaluating the accuracy and efficacy of an electronic medical record alert to identify paediatric patients with low-risk febrile neutropenia

Abstract

BackgroundPoint-of-care decision support, embedded into electronic medical record (EMR) workflows, has the potential to improve efficiency, reduce unwarranted variation and improve patient outcomes. A clinical-facing best practice advisory (BPA) in the Epic EMR system was developed to identify children admitted with low-risk febrile neutropenia (FN) who should be considered for treatment at home after a brief inpatient stay. We evaluated the accuracy and impact of this BPA and identify areas for improvement. MethodsThe low-risk FN BPA was co-designed with key-stakeholders and implemented after a one-month testing phase. Mixed methodology was used to collect and analyse data. The sensitivity and positive predictive value of the BPA was calculated using FN episodes captured in a prospectively collected database. Overall effectiveness was defined as the proportion of alerts resulting in completion of a FN risk assessment flowsheet. ResultsOver the 12-month period 176 FN episodes were admitted. Overall, the alert had poor sensitivity (58%) and positive predictive value (75%), failing to trigger in 62 (35%) episodes. In the episodes where the alert did trigger, the alert was frequently dismissed by clinicians (76%) and the overall effectiveness was extremely low (3%). Manual review of each FN episode without a BPA identified important design limitations and incorrect workflow assumptions. DiscussionGiven the poor sensitivity and limited impact on clinician behaviour the low-risk BPA, in its current form, has not been an effective intervention at this site. While work is ongoing to enhance the accuracy of the BPA, alternative EMR workflows are likely required to improve the clinical impact.