ArticleNPJ digital medicine2025
Evaluation of the Allergy Fact Checker, a clinical decision support system for non-invasive beta-lactam delabeling: a mixed-methods study.
Article in NPJ digital medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
Corrections and comments
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Authors and funding
8 authors.
Funding
Abstract
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.