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Author Spotlight: Workflow for Integrating POCUS Data into EHR for Managing Heart Failure Patients
Published on: July 12, 2024
The AED Project: Multiorganization Collaboration to Streamline Automatic External Defibrillator Data in
Liz Burden1, Laura Shaw2, Randall Town2
1MD Undergraduate Program, Faculty of Medicine, University of British Columbia, Vancouver, British Columbia, Canada.
Background:
In patients with out-of-hospital cardiac arrest (OHCA), automated external defibrillator (AED) devices contain valuable data about the patient's initial rhythm. The retrieval process was previously without protocol, despite its critical role in the patient journey.
Methods:
Through a Plan-Do-Study-Act model, the cardiology department at Royal Jubilee Hospital (Victoria, British Columbia, Canada) collaborated with provincial emergency health services (British Columbia Emergency Health Services) to cocreate a request process for data from AEDs used by first responders. British Columbia Fire Departments, which are under municipal oversight, required an alternate strategy. Educational presentations allowed for feedback and spread. Patients surviving OHCA and transfer to the regional cardiac centre were consecutively enrolled from November 2018 to April 2020. We evaluated the timeliness of AED information retrieval, and tracked the process to admission. A retrospective chart review informed specifics after admission. A survey to the Coronary Intensive Care Unit staff was used to assess clinical utility.
Results:
Seventy-one consecutive patients were enrolled during the study period. Seven rhythm strips arrived with the patient, thus not affected by the initiative. From the remaining 64 cases, 80% (n = 51/64) were received within 48 hours, and 88% (n = 45/51) were received within 24 hours with a median of 1 hour. Eighteen Coronary Intensive Care Unit staff completed the survey; 81% reported AED data as "very useful" to clinical decision-making (n = 13/16). The AED rhythm strips provided insight into OHCA etiology (100%; n = 11/11), supported evidence for diagnoses (100%; n = 11/11), and reduced unnecessary testing (64%; n = 7/11).
Conclusions:
Implementing an organized protocol allowed for timely access to AED data, which was directly integrated into clinical decision-making and positively affected hospital stay.
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