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

Research output: Contribution to journalArticleResearchpeer-review

13 Citations (Scopus)


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
Publication statusPublished - Nov 2018

Cite this