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Title: Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow.
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
Affiliation: Austin Health Clinical School, The University of Melbourne, Heidelberg, Victoria, Australia
Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia
Department of Cardiology, Austin Health, Heidelberg, Victoria, Australia
Nepean Clinical School, Faculty of Medicine and Health, University of Sydney, Australia
Monash University, Eastern Health Clinical School, Department of Cardiology, Box Hill Hospital, Melbourne, Victoria, Australia
Issue Date: 23-Aug-2018
EDate: 2018-08-23
Citation: American heart journal 2018; online first: 23 August
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.
DOI: 10.1016/j.ahj.2018.08.001
PubMed URL: 30195576
Type: Letter
Appears in Collections:Journal articles

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