Publications by authors named "Christian Skalafouris"
Background: Clinical decision support systems (CDSS) can help identify drug-related problems (DRPs). However, the alert specificity remains variable. Defining more relevant alerts for detecting DRPs would improve CDSS.
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- Clinical Decision Support Systems (CDSS), like PharmaCheck, can help prevent adverse drug events (ADEs) by assisting clinical pharmacists in spotting high-risk situations during patient care.
- During a study, PharmaCheck generated 447 alerts in 383 patients over 132 days, resulting in 90 interventions, with an overall positive predictive value (PPV) of 20.1%.
- When pharmacists filtered alerts, the clinical PPV increased significantly to 71.0%, highlighting their crucial role in managing medication safety and reducing alert fatigue among physicians.
During Switzerland's first wave of COVID-19, clinical pharmacy activities during medical rounds in Geneva University Hospitals were replaced by targeted remote interventions. We describe using the electronic PharmaCheck system to screen high-risk situations of adverse drug events (ADEs), particularly targeting prescriptions of lopinavir/ritonavir (LPVr) and hydroxychloroquine (HCQ) in the presence of contraindications or prescriptions outside institutional guidelines. Of 416 patients receiving LPVr and/or HCQ, 182 alerts were triggered for 164 (39.
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