The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review.

Jetske Graafsma; Rachel M Murphy; Ewoudt M W van de Garde; Fatma Karapinar-Carkit; Hieronymus J Derijks; Rien H L Hoge; Joanna E Klopotowska; Patricia M L A van den Bemt

Review

The use of artificial intelligence to optimize medication alerts generated by clinical decision support systems: a scoping review.

May 8, 2024

Graafsma J, Murphy RM, van de Garde EMW, et al. J Am Med Inform Assoc. 2024;Epub Apr 19.

View more articles from the same authors.

Clinical decision support systems (CDSS) are widely used to prevent adverse drug events (ADE) but can generate alerts with low clinical relevance resulting in alert fatigue and high override rates. This review summarizes existing research in the use of artificial intelligence (AI) to reduce alert fatigue in CDSS. Included studies reported AI decreased inappropriate alerts. However, none of the studies reported external validation or transparency of model development.

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Remote Response Team and Customized Alert Settings Help Improve Management of Sepsis

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