Title of article :
Remote Analysis and Transmission System of Electrocardiogram in Prehospital Setting; a Diagnostic Accuracy Study
Author/Authors :
Almukhambetova, Elmira Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan , Almukhambetov, Murat Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan , Musayev, Abdugani Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan , Yeshmanova, Ainur Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan , Indershiyev, Vildan Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan , Kalhodzhaeva, Zhadira Department of Emergency and First Aid - Asfendiyarov Kazakh National Medical University, Almaty, Kazakhstan
Abstract :
Introduction: One of the trends in the development of medical technologies is considered to be telemedicine.
This study aimed to evaluate the accuracy of a remote electrocardiogram (ECG) analysis and transmission
system in prehospital setting. Methods: In this cross-sectional study, the data of 19,265 ECGs was gathered
from emergency medical service (EMS) database of Almaty city, Kazakhstan, from 2015 to 2019. All ECGs were
recorded in the prehospital setting by a paramedic, using "Poly-Spectrum" ECG recording device. Subsequently,
all ECGs were sent to the cardiologist for interpretation and the findings were compared between software and
cardiologist. Results: 19,265 ECGs were registered. The average time from taking ECGs to receiving an expert’s
conclusion was 9.2 ± 2.5minutes. The medical teams were called in 17.9% of cases after paramedic ECG recording;
however, in the rest of the cases there was no need to call those teams. Using the device reduced the number
of visits of specialist teams. The overall sensitivity, specificity, and accuracy of ECG analysis device in diagnosis
of ECG abnormalities were 83.8% (95%CI: 82.6 – 84.9), 95.5% (95%CI: 95.1 – 95.8), and 93.3% (95%CI: 92.9 –
93.7), respectively. Conclusion: The findings of this study showed the 93.3%accuracy of automatic ECG analysis
device in interpretation of ECG abnormalities in prehospital setting compared with the cardiologist interpretations.
Using the device causes a decrease in the number of cardiologist visits needed as well as reduction in cost
and elapsed time.
Keywords :
Cardiovascular system , cardiovascular diseases , diagnosis , quality of health care , health services administration
Journal title :
Archives of Academic Emergency Medicine (AAEM)