• Resuscitation · Jun 2023

    Feasibility of accelerated code team activation with code button triggered smartphone notification.

    • Nicholas A Morris, Cody Couperus, Zach Dezman, Lewis Rubinson, Rebekah Friedrich, Samuel Gurmu, and Dan Lemkin.
    • Department of Neurology, Program in Trauma, University of Maryland School of Medicine, Baltimore, MD, USA. Electronic address: nicholas.morris@som.umaryland.edu.
    • Resuscitation. 2023 Jun 1; 187: 109752109752.

    IntroductionStudies support rapid interventions to improve outcomes in patients with in-hospital cardiac arrest. We sought to decrease the time to code team activation and improve dissemination of patient-specific data to facilitate targeted treatments.MethodsWe mapped code blue buttons behind each bed to patients through the electronic medical record. Pushing the button sent patient-specific data (admitting diagnosis, presence of difficult airway, and recent laboratory values) through a secure messaging system to the responding teams' smartphones. The code button also activated a hospital-wide alert through the operator. We piloted the system on seven medicine inpatient units from November 2019 through May 2022. We compared the time from code blue button press to smartphone message receipt vs traditional operator-sent overhead page.ResultsThe code button was the primary mode of code team activation for 12/35 (34.3%) cardiac arrest events. The code team received smartphone notifications a median of 78 s (IQR = 47-127 s) before overhead page. The median time to adrenaline administration for codes activated with the code button was not significantly different (240 s (IQR 142-300 s for code button) vs 148 s (IQR = 34-367 s) for overhead page, p = 0.89). Survival to discharge was 3/12 (25.0%) for codes activated with the code button vs 4/23 (17.4%) when activated by calling the operator (p = 0.67).ConclusionImplementation of a smartphone-based code button notification system reduced time to code team activation by 78 s. Larger cohorts are necessary to assess effects on patient outcomes.Copyright © 2023 Elsevier B.V. All rights reserved.

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