Real-Time Prediction of Acute Kidney Injury in Hospitalized Adults: Implementation and Proof of Concept

摘要

Rationale & Objective: Acute kidney injury (AKI) is diagnosed based on changes in serum creatinine concentration, a late marker of this syndrome. Algorithms that predict elevated risk for AKI are of great interest, but no studies have incorporated such an algorithm into the electronic health record to assist with clinical care. We describe the experience of implementing such an algorithm.