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

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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 Type: | Article |
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Authors/Creators: | 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 |
Journal or Publication Title: | American Heart Journal |
Publisher: | Mosby |
ISSN: | 0002-8703 |
DOI / ID Number: | 10.1016/j.ahj.2018.08.001 |
Copyright Information: | Copyright 2018 Elsevier Inc. |
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Item Statistics: | View statistics for this item |
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