@article{eace74b78f594cbc981ef59c05b6e70e,
title = "A clinical decision support tool to assist with the interpretation of the 12-lead Electrocardiogram",
abstract = "INTRODUCTIONThis paper reports the design and testing of a novel interactive method to assist interpretation of 12-lead Electrocardiogram (ECG).METHODSParticipants (n=15) interpreted a total of 150 12 lead ECG recordings randomly using a standard and a novel (ANALYSE) reporting format.RESULTSThe overall aggregated mean mark attained using the standard format was 53% (range = 38 - 82%, SD = 12). Conversely, the overall aggregated mean mark attained using the ANALYSE format was 75% (range = 55 - 93%, SD = 9). A total of 14/15 participants consistently scored higher when interpreting ECGs 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-value <0.01).CONCLUSIONThis study demonstrates the clinical utility of a novel method (ANALYSE) to assist the learning of ECG interpretation and its association with enhanced diagnostic performance in novices.",
keywords = "Electrocardiography, Decision Support Systems, Teaching",
author = "Breen, {Cathal, J} and RR Bond and DD Finlay",
year = "2017",
month = jan,
day = "5",
doi = "10.1177/1460458216683534",
language = "English",
volume = "0",
pages = "1--11",
journal = "Health Informatics Journal",
issn = "1741-2811",
publisher = "SAGE Publications",
}