View in EDS

Development and temporal validation of machine learning models for predicting clinically relevant medication reconciliation discrepancies at the emergency department: A single-center retrospective study.

Saved in:
Bibliographic Details
Title: Development and temporal validation of machine learning models for predicting clinically relevant medication reconciliation discrepancies at the emergency department: A single-center retrospective study.
Authors: Van De Sijpe G; KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium; Pharmacy Department, UZ Leuven, Leuven, Belgium. Electronic address: greet.vandesijpe@uzleuven.be., Schrooten T; KU Leuven Faculty of Engineering Science, KU Leuven, Leuven, Belgium., De Winter S; Pharmacy Department, UZ Leuven, Leuven, Belgium., Van der Linden L; KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium; Pharmacy Department, UZ Leuven, Leuven, Belgium., Vanbrabant P; Department of General Internal Medicine, UZ Leuven, Herestraat 49, Leuven, Belgium., Dompas A; Department of Information Technology, UZ Leuven, Leuven, Belgium., Bertels B; Department of Information Technology, UZ Leuven, Leuven, Belgium., De Vos M; KU Leuven Department of Electrical Engineering, Stadius, KU Leuven, Leuven, Belgium; KU Leuven Department of Development and Regeneration, KU Leuven, Leuven, Belgium., Spriet I; KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium; Pharmacy Department, UZ Leuven, Leuven, Belgium.
Source: International journal of medical informatics [Int J Med Inform] 2026 May; Vol. 211, pp. 106309. Date of Electronic Publication: 2026 Jan 24.
Publication Type: Journal Article; Validation Study
Journal Info: Publisher: Elsevier Science Ireland Ltd Country of Publication: Ireland NLM ID: 9711057 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-8243 (Electronic) Linking ISSN: 13865056 NLM ISO Abbreviation: Int J Med Inform Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-8243
DOI:10.1016/j.ijmedinf.2026.106309