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Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow

Citation

Koshy, AN and Sajeev, JK and Negishi, K and Wong, MC and Pham, CB and Cooray, SP and Khavar, Y and Roberts, L and Cooke, JC and Teh, AW, Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow, American Heart Journal, 205 pp. 149-153. ISSN 0002-8703 (2018) [Refereed Article]

Copyright Statement

Copyright 2018 Elsevier Inc.

DOI: doi:10.1016/j.ahj.2018.08.001

Abstract

Despite the appeal of smartphone-based electrocardiograms (ECGs) for arrhythmia screening, a paucity of data exists on the accuracy of primary care physicians' and cardiologists' interpretation of tracings compared with the device's automated diagnosis. Using 408 ECGs in 51 patients, we demonstrate a variable accuracy in clinician interpretation of smartphone-based ECGs, with only cardiologists demonstrating satisfactory agreement when referenced against a 12-lead ECG. Combining the device automated diagnostic algorithm with cardiologist interpretation of only uninterpretable traces yielded excellent results and provides an efficient, cost-effective workflow for the utilization of a smartphone-based ECG in clinical practice.

Item Details

Item Type:Refereed Article
Keywords:atrial fibrillation, stroke, AF burden, smartphone electrocardiograms
Research Division:Medical and Health Sciences
Research Group:Cardiorespiratory Medicine and Haematology
Research Field:Cardiology (incl. Cardiovascular Diseases)
Objective Division:Health
Objective Group:Clinical Health (Organs, Diseases and Abnormal Conditions)
Objective Field:Cardiovascular System and Diseases
UTAS Author:Negishi, K (Dr Kazuaki Negishi)
ID Code:130193
Year Published:2018
Web of Science® Times Cited:4
Deposited By:Menzies Institute for Medical Research
Deposited On:2019-01-15
Last Modified:2019-03-18
Downloads:0

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