Outcome of a de-labelling algorithm compared with results of penicillin (β-lactam) allergy testing.

Philipp SchrüferJohanna StoevesandtAxel Trautmann

Published in: Allergy, asthma, and clinical immunology : official journal of the Canadian Society of Allergy and Clinical Immunology (2022)

The algorithm detected 89.8% of cases with penicillin (β-lactam) allergy, sensitivity was optimal for moderate to severe anaphylaxis. Study data justify the implementation of a standardized de-labelling algorithm under close supervision in order to permit guideline-directed treatment and reduce the use of broad-spectrum antibiotics as part of an antibiotic stewardship program.

Keyphrases

machine learning
deep learning
quality improvement
neural network
primary care
healthcare
atopic dermatitis
gram negative
electronic health record
big data
early onset
high intensity
infectious diseases
artificial intelligence
drug induced
data analysis
smoking cessation