P-1139. Leveraging Instant Orders to Create a Semi-Automated Process for Candida auris Ring Surveillance
Alexander S Plattner, Carole Leone, Megan Dethloff, Josephine Fox, Lydia J Grimes- Jenkins, Carlee Hoxworth, Ashley Lloyd, Kevin M Heard, Sandra McCormick, Nicholas B Hampton, Ronald Jackups, Kevin O’Bryan, Patrick J Reich

TL;DR
This paper describes a semi-automated system using digital tools to streamline Candida auris surveillance in hospitals, reducing manual work and improving testing rates.
Contribution
A novel semi-automated surveillance process using Epic's Instant Orders and OPAs to reduce manual workload and improve C. auris PCR testing compliance.
Findings
582 C. auris PCR orders were placed by OPAs in 28 days, with 88% of tests performed.
PCR collection before discharge increased from 8.3% to 61% following implementation.
Only 1.4% of automated orders were canceled, indicating minimal unintended firings.
Abstract
Candida auris is a growing threat among healthcare-associated infections due to its resistance to several antifungal classes and potential for spread within healthcare settings. Ring surveillance involves polymerase chain reaction (PCR) testing from axilla and inguinal fold swabs performed weekly on patients hospitalized near known C. auris cases. In our healthcare system, over 200 manual C. auris ring surveillance orders were entered weekly by infection preventionists (IPs); a burdensome process, preventing other tasks and contributing to burnout.Instant Orders DemoExample of Instant Order notification when activated, followed by placement of surveillance PCR as an active order. The clipboard and lightning icon indicates that this order was placed by Instant Order functionality.C auris Ring Surveillance Flag and Instant Orders FlowsheetScreenshot of a test patient in Epic showing…
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Taxonomy
TopicsAntifungal resistance and susceptibility · Infection Control in Healthcare · Ocular Infections and Treatments
