RT Journal Article SR Electronic T1 Use of an electronic alert to identify patients with acute kidney injury JF Clinical Medicine JO Clin Med FD Royal College of Physicians SP 22 OP 26 DO 10.7861/clinmedicine.14-1-22 VO 14 IS 1 A1 Katie Wallace A1 Angela S Mallard A1 Jon D Stratton A1 Paul A Johnston A1 Stephen Dickinson A1 Rob G Parry YR 2014 UL http://www.rcpjournals.org/content/14/1/22.abstract AB Early intervention in the management of acute kidney injury (AKI) has been shown to improve outcomes. To facilitate early review we have introduced real time reporting for AKI. An algorithm using the laboratory computer system was implemented to report AKI for inpatients. Over 6 months there were 1,906 AKI reports in 1,518 patients: 56.3% AKI1, 26.9% AKI2 and 16.8% AKI3. 51.0% were male. Median age was 78 (interquartile range [IQR] 17) years. 62.6% were from general medical wards, 16.9% from surgical wards, 6.9% from orthopaedic wards and 5.3% from specialty wards. 8.3% were from peripheral hospitals. 31% of patients with AKI reports were clinically coded for AKI. 9% (n = 139) showed progression of AKI (mortality 42%). Patients with AKI had a significantly higher length of stay and mortality than those that did not. 4% of patients with AKI received acute renal replacement therapy (RRT). An e-alert system is feasible, allowing early identification of inpatients with AKI.