Healing soles: a microbiology-driven electronic health record-algorithm and order set to decrease antipseudomonal use in diabetic foot infections, a retrospective, observational, quasi-experimental study

Healing soles: a microbiology-driven electronic health record-algorithm and order set to decrease antipseudomonal use in diabetic foot infections, a retrospective, observational, quasi-experimental study

Abstract Background Antipseudomonal antibiotics are commonly prescribed for diabetic foot infections (DFI) at our institution despite a low local prevalence of Pseudomonas aeruginosa. A multidisciplinary team implemented a DFI electronic health record (EHR)-embedded treatment algorithm and order s...

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Bibliographic Details
Main Authors: Antoinette Marie Acbo, Naida Koura-Mola, Terrence McSweeney, Hongkai Bao, Mei Chang, Kelsie Cowman, Priya Nori, Yi Guo
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Antimicrobial Stewardship & Healthcare Epidemiology
Online Access:https://www.cambridge.org/core/product/identifier/S2732494X25000592/type/journal_article
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