434. Healthcare Personnel Interactive Pathogen Exposure Response System

Abstract Background Infectious disease exposure investigations in the hospital are labor-intensive for infection prevention and control (IPC) team vulnerable to healthcare personnel (HCP) recall bias. We developed an electronic health record (EHR) algorithm identify rank patient-HCP interactions based on likelihood intensity of exposure. Methods compared conventional EHR-based findings from seven conducted between November 1, 2020 February 2022 at The Johns Hopkins Hospital (JHH), a 1095 bed academic tertiary center Baltimore, MD. Conventional were hospitalized patients who tested positive SARS-CoV-2 while not COVID-19 isolation precautions. IPC contacted department managers report potentially exposed HCPs occupational health. method identified HCP-patient clinical data such as documentation flowsheet, medication administration, etc. A score was calculated each HCP estimated duration contact. Genomic sequencing available samples performed investigate transmission events. Results Overall, system 75% (59/79) by 100% those document EHR. In contrast, it unable any individuals do EHR (Table 1). All transmissions investigation confirmed through genomic system, all had high-intensity scores (i.e., top quartile list individuals). Table 1.Comparison Based Exposure Investigations Conclusion found highly sensitive specific identifying with investigations. inability detect support staff or others limitation suggests that can augment but replace system’s speed, ease, lower resource requirements make promising tool more efficiently complete settings. Disclosures Sara E. Cosgrove, MD, Basilea: Member Infection Adjudication Committee.