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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Yayımlandı:NPJ Digital Medicine vol. 8, no. 1 (Dec 2025), p. 662-669
Yazar: Van De Sijpe, Greet
Diğer Yazarlar: Gilissen, Liesbeth, Wets, Dries, Breynaert, Christine, Ieven, Toon, De Munter, Paul, Schrijvers, Rik, Spriet, Isabel
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Nature Publishing Group
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022 |a 2398-6352 
024 7 |a 10.1038/s41746-025-02030-1  |2 doi 
035 |a 3272809324 
045 2 |b d20251201  |b d20251231 
100 1 |a Van De Sijpe, Greet  |u KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Pharmacy Department, UZ Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
245 1 |a Evaluation of the Allergy Fact Checker, a clinical decision support system for non-invasive beta-lactam delabeling: a mixed-methods study 
260 |b Nature Publishing Group  |c Dec 2025 
513 |a Journal Article 
520 3 |a 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. 
653 |a Patients 
653 |a Length of stay 
653 |a Clinical medicine 
653 |a Hypotheses 
653 |a Anaphylaxis 
653 |a Antibiotics 
653 |a Staphylococcus infections 
653 |a Histamine 
653 |a Hospitals 
653 |a Allergies 
653 |a Clinical decision making 
653 |a Information systems 
653 |a Decision support systems 
653 |a Registration 
653 |a Algorithms 
653 |a Computerized physician order entry 
653 |a Time series 
653 |a Penicillin 
653 |a Hospitalization 
700 1 |a Gilissen, Liesbeth  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884) 
700 1 |a Wets, Dries  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
700 1 |a Breynaert, Christine  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
700 1 |a Ieven, Toon  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
700 1 |a De Munter, Paul  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
700 1 |a Schrijvers, Rik  |u KU Leuven Department of Microbiology, Immunology and Transplantation, Allergy and Clinical Immunology Research Group, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Department of General Internal Medicine, University Hospitals Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
700 1 |a Spriet, Isabel  |u KU Leuven Department of Pharmaceutical and Pharmacological Sciences, Clinical Pharmacology and Pharmacotherapy, KU Leuven, Leuven, Belgium (ROR: https://ror.org/05f950310) (GRID: grid.5596.f) (ISNI: 0000 0001 0668 7884); Pharmacy Department, UZ Leuven, Leuven, Belgium (ROR: https://ror.org/0424bsv16) (GRID: grid.410569.f) (ISNI: 0000 0004 0626 3338) 
773 0 |t NPJ Digital Medicine  |g vol. 8, no. 1 (Dec 2025), p. 662-669 
786 0 |d ProQuest  |t Health & Medical Collection 
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