This paper is in the following e-collection/theme issue:

Clinical Information and Decision Making (1415) Medication Reconciliation (12) Pharmacovigilance (135) Pharmacology and Pharmaceutics (67) Safety and Error Prevention in Health (205) Electronic Health Records (1061) E-Health / Health Services Research and New Models of Care (525) New Methods (948)

Published on in Vol 26 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55185, first published .
A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study

A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study

A Prediction Model to Identify Clinically Relevant Medication Discrepancies at the Emergency Department (MED-REC Predictor): Development and Validation Study

Authors of this article:

Greet Van De Sijpe1, 2 Author Orcid Image ;   Matthias Gijsen1, 2 Author Orcid Image ;   Lorenz Van der Linden1, 2 Author Orcid Image ;   Stephanie Strouven3 Author Orcid Image ;   Eline Simons1 Author Orcid Image ;   Emily Martens4 Author Orcid Image ;   Nele Persan4 Author Orcid Image ;   Veerle Grootaert4 Author Orcid Image ;   Veerle Foulon2 Author Orcid Image ;   Minne Casteels2 Author Orcid Image ;   Sandra Verelst5 Author Orcid Image ;   Peter Vanbrabant5 Author Orcid Image ;   Sabrina De Winter1 Author Orcid Image ;   Isabel Spriet1, 2 Author Orcid Image
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