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

• 主要な著者: Greet Van De Sijpe (著者), Matthias Gijsen (著者), Lorenz Van der Linden (著者), Stephanie Strouven (著者), Eline Simons (著者), Emily Martens (著者), Nele Persan (著者), Veerle Grootaert (著者), Veerle Foulon (著者), Minne Casteels (著者), Sandra Verelst (著者), Peter Vanbrabant (著者), Sabrina De Winter (著者), Isabel Spriet (著者)
• フォーマット: 図書
• 出版事項: JMIR Publications, 2024-11-01T00:00:00Z.
• 主題: article
• オンライン･アクセス: Connect to this object online.

BackgroundMany patients do not receive a comprehensive medication reconciliation, mostly owing to limited resources. We hence need an approach to identify those patients at the emergency department (ED) who are at increased risk for clinically relevant discrepancies. ObjectiveThe aim of our study wa...