Early detection of acute kidney injury and the application of automated electronic alert systems

Abstract

Acute kidney injury (AKI) is a common and serious medical condition associated with high rates of mortality. Early diagnosis and timely institution of remedial measures can help improve the adverse clinical outcomes associated with AKI. The  iagnostic criteria for AKI have changed recently following the publication of evidence suggesting that even small changes in serum creatinine levels predict poor outcomes. Awareness of risk factors for development of AKI and familiarity with the  new diagnostic criteria are essential in the management of acutely ill patients; both in community and hospital settings. Computerised algorithms, built within the laboratory software, can now automatically create electronic alerts (e-Alerts) for  KI if changes in serum creatinine meet AKI diagnostic thresholds. This innovation can be a useful tool in helping with early detection of AKI; however, users need to be aware of its various applications and limitations.