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A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram

Breen, Cathal; Bond, Raymond; Finlay, Dewar


Raymond Bond

Dewar Finlay


This article reports the design and testing of a novel interactive method, abbreviated to ANALYSE (systemAtic aNALYsiS of Electrocardiography) to assist interpretation of 12-lead electrocardiogram. 15 participants interpreted a total of 150 12-lead electrocardiogram recordings randomly using a standard and this novel (ANALYSE) reporting format. The overall aggregated mean score attained using the standard format was 53% (range = 38–82%, standard deviation = 12). Conversely, the overall aggregated mean score attained using ANALYSE format was 75% (range = 55%–93%, standard deviation = 9). A total of 14/15 participants consistently scored higher when interpreting electrocardiograms using the ANALYSE format (range = 10% -45%). A significant difference between the aggregated marks scored using the ANALYSE format and the standard format was calculated (Wilcoxon Z Score = −3.2374 (df = 14), p < 0.01). This study demonstrates the clinical utility of a novel method (ANALYSE) to assist the learning of electrocardiogram interpretation and its association with enhanced diagnostic performance in novices.

Journal Article Type Article
Online Publication Date Jan 5, 2017
Publication Date 2019-03
Deposit Date Nov 3, 2022
Journal Health Informatics Journal
Print ISSN 1460-4582
Electronic ISSN 1741-2811
Publisher SAGE Publications
Peer Reviewed Peer Reviewed
Volume 25
Issue 1
Pages 51-61
Keywords decision support systems, electrocardiography, teaching
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