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Internal medicine journal · Nov 2023
Artificial intelligence-enabled penicillin allergy delabelling: an implementation study.
- Brandon Stretton, Melinda Jiang, Joshua Kovoor, Joshua M Inglis, Lydia Lam, Sheryn Tan, Chino Yuson, William Smith, Sepehr Shakib, and Stephen Bacchi.
- Royal Adelaide Hospital, Adelaide, South Australia, Australia.
- Intern Med J. 2023 Nov 1; 53 (11): 211921222119-2122.
AbstractInaccurate penicillin allergy labels may be delabelled following evaluation. The intervention in this study was an email-based notification system regarding the appropriateness for penicillin allergy evaluation, with a view to delabelling, as identified by a deep learning artificial intelligence algorithm. Of the intervention group (n = 59), three (5.1%) individuals had their penicillin allergies delabelled, which was significantly more than the control group (0%, P = 0.002). Further research to optimise such approaches is required.© 2023 Royal Australasian College of Physicians.
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