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

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,...

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Bibliographic Details
Published in:The American heart journal 2018-11, Vol.205, p.149-153
Main Authors: 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
Format: Article
Language:English
Subjects:
Accuracy
Algorithms
Arrhythmia
Automation
Diagnostic systems
Echocardiography
EKG
Electrocardiography
Health care
Heart rate
Medical personnel
Patients
Physicians
Primary care
Smartphones
Workflow
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Summary: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.
ISSN:0002-8703
1097-6744
DOI:10.1016/j.ahj.2018.08.001