Abstract
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.
| Original language | English |
|---|---|
| Pages (from-to) | 995-999 |
| Journal | Journal of Electrocardiology |
| Volume | 48 |
| Issue number | 6 |
| DOIs | |
| Publication status | Published (in print/issue) - 1 Nov 2015 |
Keywords
- ECG
- TEL
- technology enhanced training
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Dive into the research topics of 'Using computerised interactive response technology to assess electrocardiographers and for aggregating diagnoses'. Together they form a unique fingerprint.Student theses
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Interactive computing to augment the human interpretation of the 12-lead electrocardiogram
Cairns, A. W. (Author), Finlay, D. (Supervisor) & Bond, R. (Supervisor), Jun 2018Student thesis: Doctoral Thesis
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