Development and validation of a deep learning model for detection of allergic reactions using safety event reports across hospitals.
Artificial intelligence can support improved patient safety outcomes. This study found that a deep learning model can accurately and efficiently identify allergic reactions in hospital safety reports and can potentially enable real-time event surveillance and system improvement.