The Application of Knowledge-Based Clinical Decision Support Systems to Detect Antibiotic Allergy

• Published in: Antibiotics (Basel) 2024-03, Vol.13 (3), p.244
• Main Authors: Han, Nayoung, Oh, Ock Hee, Oh, John, Kim, Yoomi, Lee, Younghee, Cha, Won Chul, Yu, Yun Mi
• Format: Article
• Language: English
• Subjects: Allergic reaction; Allergies; Allergy; Amides; Anaphylaxis; Antibiotics; Artificial intelligence; Beta lactam antibiotics; Beta lactamases; Cephalosporins; Clinical decision making; clinical decision support systems; Cross-reactivity; Decision support systems; Disorders; drug allergy; Drug dosages; Drug overdose; Electronic health records; Gastrointestinal diseases; Health aspects; Health care facilities; Hospital patients; Hospitals; Immune system; Immunoglobulins; Information sharing; Knowledge; knowledge database; Patients; Personal health; Prescription drugs; Prevention; Signs and symptoms; β-Lactam antibiotics
• ISSN: 2079-6382; 2079-6382
• DOI: 10.3390/antibiotics13030244

Prevention of drug allergies is important for patient safety. The objective of this study was to evaluate the outcomes of antibiotic allergy-checking clinical decision support system (CDSS), K-CDS . A retrospective chart review study was performed in 29 hospitals and antibiotic allergy alerts data were collected from May to August 2022. A total of 15,535 allergy alert cases from 1586 patients were reviewed. The most frequently prescribed antibiotics were cephalosporins (48.5%), and there were more alerts of potential cross-reactivity between beta-lactam antibiotics than between antibiotics with the same ingredients or of the same class. Regarding allergy symptoms, dermatological disorders were the most common (38.8%), followed by gastrointestinal disorders (28.4%). The 714 cases (4.5%) of immune system disorders included 222 cases of anaphylaxis and 61 cases of severe cutaneous adverse reactions. Alerts for severe symptoms were reported in 6.4% of all cases. This study confirmed that K-CDS can effectively detect antibiotic allergies and prevent the prescription of potentially allergy-causing antibiotics among patients with a history of antibiotic allergies. If K-CDS is expanded to medical institutions nationwide in the future, it can prevent an increase in allergy recurrence related to drug prescriptions through cloud-based allergy detection CDSSs.