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Impact of an AI-powered hospital admission prediction dashboard to guide medication reconciliation in the emergency department: a retrospective before-after study.

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Bibliographic Details
Title: Impact of an AI-powered hospital admission prediction dashboard to guide medication reconciliation in the emergency department: a retrospective before-after study.
Authors: Maathuis J; Department of Healthcare & Information Technology, Hospital Group Twente, Almelo & Hengelo, The Netherlands., Veldhuis A; Department of Healthcare & Information Technology, Hospital Group Twente, Almelo & Hengelo, The Netherlands., Egbers JB; Department of Emergency Medicine, Hospital Group Twente, Almelo & Hengelo, The Netherlands., Geerdink J; Department of Healthcare & Information Technology, Hospital Group Twente, Almelo & Hengelo, The Netherlands., Karapinar-Çarkit F; Department of Clinical Pharmacy and Toxicology, Maastricht University Medical Centre, Maastricht, The Netherlands.; Department of Clinical Pharmacy, CARIM, Cardiovascular Research Institute Maastricht, Maastricht University, Maastricht, The Netherlands., van den Bemt PMLA; Department of Clinical Pharmacy and Pharmacology, University Medical Centre Groningen, University of Groningen, Groningen, The Netherlands., Hulshof EC; Department of Clinical Pharmacy, Hospital Group Twente, Almelo and Hengelo, The Netherlands., Kingma JS; Department of Clinical Pharmacy, Hospital Group Twente, Almelo and Hengelo, The Netherlands. j.kingma@zgt.nl.
Source: International journal of clinical pharmacy [Int J Clin Pharm] 2026 Jun; Vol. 48 (3), pp. 801-807. Date of Electronic Publication: 2026 Jan 03.
Publication Type: Journal Article
Journal Info: Publisher: Springer Country of Publication: Netherlands NLM ID: 101554912 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 2210-7711 (Electronic) NLM ISO Abbreviation: Int J Clin Pharm Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2210-7711
DOI:10.1007/s11096-025-02076-x