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Artificial intelligence-enabled penicillin allergy delabelling: an implementation study.

Brandon StrettonMelinda JiangJoshua KovoorJoshua M InglisLydia LamSheryn TanChino YusonWilliam SmithSepehr ShakibStephen Bacchi
Published in: Internal medicine journal (2023)
Inaccurate 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.
Keyphrases
  • artificial intelligence
  • deep learning
  • machine learning
  • big data
  • randomized controlled trial
  • healthcare
  • primary care
  • convolutional neural network
  • quality improvement
  • neural network