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

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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.
Original languageEnglish
Pages (from-to)1-11
JournalHealth Informatics Journal
Volume0
Early online date5 Jan 2017
DOIs
Publication statusE-pub ahead of print - 5 Jan 2017

Keywords

  • Electrocardiography
  • Decision Support Systems
  • Teaching

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