Clinicians commonly rely on automated diagnostic interpretations for initial, point-of-care identification of ECG abnormalities. Our study goal was to investigate how one widely used computerized ECG analysis system performs in labeling prolongation of heart rate-corrected QT interval (QTc), an arrhythmia risk marker.