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Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses

Peace, Aaron, Ramsewak, Adesh, Cairns, Andrew, Finlay, Dewar, Guldenring, Daniel, Clifford, Gari and Bond, Raymond (2015) Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses. Journal of Electrocardiology, 48 (6). pp. 995-999. [Journal article]

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URL: http://www.sciencedirect.com/science/article/pii/S0022073615002253

DOI: doi:10.1016/j.jelectrocard.2015.08.003


The 12-lead electrocardiogram (ECG) is a crucial diagnostic tool. However, the ideal method to assess competency in ECG interpretation remains unclear. We sought to evaluate whether keypad response technology provides a rapid, interactive way to assess ECG knowledge. 75 participants were enrolled [32 (43%) Primary Care Physicians, 24 (32%) Hospital Medical Staff and 19 (25%) Nurse Practitioners]. Nineteen ECGs with 4 possible answers were interpreted. Out of 1425 possible decisions 1054 (73.9%) responses were made. Only 570/1425 (40%) of the responses were correct. Diagnostic accuracy varied (0% to 78%, mean 42% ± 21%) across the entire cohort. Participation was high, (median 83%, IQR 50%–100%). Hospital Medical Staff had significantly higher diagnostic accuracy than nurse practitioners (50 ± 20% vs. 38 ± 19%, p = 0.04) and Primary Care Physicians (50 ± 20% vs. 40 ± 21%, p = 0.07) although not significant. Interactive voting systems can be rapidly and successfully used to assess ECG interpretation. Further education is necessary to improve diagnostic accuracy.

Item Type:Journal article
Keywords:ECG, TEL, technology enhanced training
Faculties and Schools:Faculty of Computing & Engineering
Faculty of Computing & Engineering > School of Computing and Mathematics
Faculty of Computing & Engineering > School of Engineering
Research Institutes and Groups:Engineering Research Institute
Engineering Research Institute > Nanotechnology & Integrated BioEngineering Centre (NIBEC)
Computer Science Research Institute > Smart Environments
Computer Science Research Institute
ID Code:32530
Deposited By: Dr Raymond Bond
Deposited On:04 Nov 2015 11:12
Last Modified:04 Nov 2015 11:12

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