Mobile Devices for Hemodynamic Monitoring

Briesenick, Luisa; Michard, Frédèric; Saugel, Bernd

doi:10.1007/978-3-030-37323-8_50

Cited by 2 publications

(1 citation statement)

References 46 publications

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“…Recent mobile technology advances (eg, WhatsApp, AliveCore™) have been advocated as a means to early STEMI detection by hospital systems and emergency personnel to make sense of the emergent condition. 30 …”

Section: Resultsmentioning

confidence: 99%

Working Against the Clock: A Model for Rural STEMI Triage

Carpenter

McWhorter

Donaldson

et al. 2021

Health�Serv�Insights

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Residents in rural communities have a higher incidence of cardiac death and risk factors associated with cardiac disease. Living in a rural region can add precious time that amplifies cardiac death during an ST-elevated myocardial infarction (STEMI) episode. The consensus is that improved efficiencies can increase myocardial salvage and decrease STEMI mortality rates. This article identifies issues that may impact pre-hospital STEMI triage of patients in a rural region of the United States (U.S.). A qualitative research design was chosen to gain insight into emergency personnel perceptions of pre-hospital STEMI triage. The participants (n = 18) were obtained from a convenience sample in rural Northeast Texas, U.S. Data were gathered by individual and group semi-structured interviews. Themes were identified, synthesized, and oriented to offer a basis for understanding opportunities to improve the delivery of rural STEMI care. This study demonstrated that quality improvement initiatives aimed at achieving pre-hospital STEMI triage efficiencies have dependencies on teamwork, technology, and training in the context of 3 stages (a) pre-transport, (b) door-to-door, and (c) post-transport. A pre-hospital STEMI triage model is offered based on the findings. By incorporating this model, emergency medical coordinators in rural communities have a better opportunity to facilitate timely reperfusion therapy for this high-risk population.

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Section: Resultsmentioning

confidence: 99%