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

2018-08-23

Koshy, Anoop N

Sajeev, Jithin K

Negishi, Kazuaki

Wong, Michael C

Pham, Christopher B

Cooray, Sumudu P

Khavar, Yeganeh

Roberts, Louise

Cooke, Jennifer C

Teh, Andrew W

Journal Article

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10.1016/j.ahj.2018.08.001

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.

link

American Heart Journal 2018; 205: 149-153

American Heart Journal