Root causes of adverse drug events in hospitals and artificial intelligence capabilities for prevention.
This cross-sectional, mixed method study sought to prioritize common root causes for medication errors. Analysis showed the main root cause was lack of adherence to safety protocols, followed by identification errors and fragile and polymedicated patients. The authors propose artificial intelligence (AI) as a potential strategy to improve compliance with protocols and patient identification.