Using automated methods to detect safety problems with health information technology: a scoping review.
Didi SurianYing WangEnrico W CoieraFarah MagrabiPublished in: Journal of the American Medical Informatics Association : JAMIA (2022)
A wide variety of rule-based, statistical, and machine learning methods have been applied to automate the detection of safety problems with HIT. Many opportunities remain to systematically study their application and effectiveness in real-world settings.