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Evaluation of the Allergy Fact Checker, a clinical decision support system for non-invasive beta-lactam delabeling: a mixed-methods study

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Publicado en:NPJ Digital Medicine vol. 8, no. 1 (Dec 2025), p. 662-669
Autor principal: Van De Sijpe, Greet
Otros Autores: Gilissen, Liesbeth, Wets, Dries, Breynaert, Christine, Ieven, Toon, De Munter, Paul, Schrijvers, Rik, Spriet, Isabel
Publicado:
Nature Publishing Group
Materias:
Patients
Length of stay
Clinical medicine
Hypotheses
Anaphylaxis
Antibiotics
Staphylococcus infections
Histamine
Hospitals
Allergies
Clinical decision making
Information systems
Decision support systems
Registration
Algorithms
Computerized physician order entry
Time series
Penicillin
Hospitalization
Acceso en línea:Citation/Abstract
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Resumen:Penicillin allergy delabeling strategies are time- and resource-consuming. In this mixed-methods study, we evaluated the ‘Allergy Fact Checker’, a novel clinical decision support system designed to identify patients with uneventful re-exposure to penicillins, enabling delabeling without additional testing. The intervention involved implementation of the tool, pharmacist-led review of alerts, and physician contact. An interrupted time series analysis assessed delabeling outcomes, and physicians were interviewed to explore implementation barriers. The Allergy Fact Checker identified 8.9% (164/1850) of patients with a penicillin allergy label. The delabeling rate increased from 12% to 60% (OR 6.8 (95% CI 1.3–35, P = 0.02)). Addressing one alert took 5 min ( ± 3 min). Reported barriers included workload and limited knowledge of the allergy label removal process. By streamlining the identification process, the Allergy Fact Checker offers a low-resource, scalable solution that significantly improves delabeling and integrates easily into existing clinical workflows.
ISSN:2398-6352
DOI:10.1038/s41746-025-02030-1
Fuente:Health & Medical Collection