Voluntary incident reports are critical to identifying adverse events, but reading through the text can be time-intensive. This study found that a machine learning approach to electronically analyze incident reports successfully detected both weight-based errors and patient identification errors. The authors conclude that it is feasible to apply automated text analysis to incident reports to categorize safety events and drive improvement.