Creating a High-Specificity Acute Kidney Injury Detection System for Clinical and Research Applications
Although acute kidney injury (AKI) is common and early interventions may be beneficial, recognition of AKI remains a challenge.1 By allowing earlier detection, AKI alerts in electronic medical records (EMR) have been shown to improve outcomes.2,3 However, alerts can lead to “alert fatigue” and negatively impact workflows,4 especially when there are high false-positive rates. We have previously reported improved mortality, decreased length of stay, and reduced need for dialysis with implementation of an electronic AKI alert.