title: A clinical decision support tool to assist with the interpretation of the 12-lead electrocardiogram.
abstract: 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.
authors.affiliation: Ulster University, UK.
authors.forename: Cathal
authors.initials: C
authors.lastname: Breen
authors.affiliation: Ulster University, UK.
authors.forename: Raymond
authors.initials: R
authors.lastname: Bond
authors.affiliation: Ulster University, UK.
authors.forename: Dewar
authors.initials: D
authors.lastname: Finlay
mesh_terms: D020000:Decision Support Systems, Clinical / Q000295:instrumentation* / Q000639:trends*; D004562:Electrocardiography / Q000295:instrumentation* / Q000379:methods / Q000639:trends; D006801:Humans; D012985:Software Design
keywords: decision support systems; electrocardiography; teaching