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https://ahro.austin.org.au/austinjspui/handle/1/19602| Title: | Accuracy of blinded clinician interpretation of single-lead smartphone electrocardiograms and a proposed clinical workflow. | Austin 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: | University of Melbourne Clinical School Menzies Institute for Medical Research, University of Tasmania, Hobart, Tasmania, Australia Cardiology 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 | Date: | 2018-08-23 | Publication information: | American Heart Journal 2018; 205: 149-153 | 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. | URI: | https://ahro.austin.org.au/austinjspui/handle/1/19602 | DOI: | 10.1016/j.ahj.2018.08.001 | ORCID: | Journal: | American Heart Journal | PubMed URL: | 30195576 | Type: | Journal Article |
| Appears in Collections: | Journal articles |
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