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

Anoop N. Koshy, Jithin K. Sajeev, Kazuaki Negishi, Michael C. Wong, Christopher B. Pham, Sumudu P. Cooray, Yeganeh Khavar, Louise Roberts, Jennifer C. Cooke, Andrew W. Teh

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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.

Original languageEnglish
Pages (from-to)149-153
Number of pages5
JournalAmerican Heart Journal
Volume205
DOIs
Publication statusPublished - Nov 2018

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