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

Journal: Journal of the American Medical Informatics Association : JAMIA
PMID: 38641410

Abstract

OBJECTIVE: Current Clinical Decision Support Systems (CDSSs) generate medication alerts that are of limited clinical value, causing alert fatigue. Artificial Intelligence (AI)-based methods may help in optimizing medication alerts. Therefore, we conducted a scoping review on the current state of the use of AI to optimize medication alerts in a hospital setting. Specifically, we aimed to identify the applied AI methods used together with their performance measures and main outcome measures.

Authors

  • Jetske Graafsma
    Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, 9713GZ, The Netherlands.
  • Rachel M Murphy
    Department of Medical Informatics, Amsterdam UMC (location AMC), Amsterdam, The Netherlands.
  • Ewoudt M W van de Garde
    Department of Pharmacy, St Antonius Hospital, Utrecht, 3430AM, The Netherlands.
  • Fatma Karapinar-Çarkit
    Department of Clinical Pharmacy and Toxicology, Maastricht University Medical Center, Maastricht, 6229HX, The Netherlands.
  • Hieronymus J Derijks
    Department of Pharmacy, Jeroen Bosch Hospital, Den Bosch, 5200ME, The Netherlands.
  • Rien H L Hoge
    Department of Pharmacy, Wilhelmina Hospital, Assen, 9401RK, The Netherlands.
  • Joanna E Klopotowska
    Department of Medical Informatics, Amsterdam UMC (location AMC), Amsterdam, The Netherlands.
  • Patricia M L A van den Bemt
    Department of Clinical Pharmacy and Pharmacology, University Medical Center Groningen, University of Groningen, Groningen, 9713GZ, The Netherlands.

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