Abstract
The 12-lead Electrocardiogram (ECG) is an important diagnostic support tool but is frequently incorrectly interpreted. This is partly due to the fact that even expert clinicians can impulsively provide a diagnosis based on first impression/intuition. It is therefore imperative to optimise how physicians interpret the 12-lead ECG. Hence, a set of interactive questions and prompts has been developed to guide an observer through a series of tasks when interpreting an ECG. This has been named `Interactive Progressive based Interpretation' (IPI). Using this model, the 12-lead ECG is segmented into five parts and presented over five web based user interfaces. The IPI model was implemented using emerging web technologies such as HTML5. Thus, a new model has been proposed to aid ECG interpretation where observers systematically and sequentially interpret the 12-lead ECG as a series of sub-tasks. We hypothesize that this will reduce the number of errors and increase diagnostic accuracy.
| Original language | English |
|---|---|
| Title of host publication | 2015 Computing in Cardiology Conference (CinC) |
| Publisher | IEEE |
| Pages | 197-200 |
| Number of pages | 4 |
| ISBN (Electronic) | 978-1-5090-0684-7 |
| ISBN (Print) | 978-1-5090-0685-4 |
| DOIs | |
| Publication status | Published (in print/issue) - 18 Feb 2016 |
| Event | Computing in Cardiology Conference (CinC), 2015 - Nice, France, Nice, France Duration: 6 Sept 2015 → 9 Sept 2015 |
Publication series
| Name | |
|---|---|
| ISSN (Print) | 2325-8861 |
| ISSN (Electronic) | 2325-887X |
Conference
| Conference | Computing in Cardiology Conference (CinC), 2015 |
|---|---|
| Country/Territory | France |
| City | Nice |
| Period | 6/09/15 → 9/09/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 3 Good Health and Well-being
Keywords
- Data models
- Diseases
- Electrocardiography
- Heart
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