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Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach

BACKGROUND: Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical students perform the task of interpretation is impor...

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Autores principales: Tahri Sqalli, Mohammed, Al-Thani, Dena, Elshazly, Mohamed B, Al-Hijji, ‪Mohammed
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554676/
https://www.ncbi.nlm.nih.gov/pubmed/34647899
http://dx.doi.org/10.2196/26675
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author Tahri Sqalli, Mohammed
Al-Thani, Dena
Elshazly, Mohamed B
Al-Hijji, ‪Mohammed
author_facet Tahri Sqalli, Mohammed
Al-Thani, Dena
Elshazly, Mohamed B
Al-Hijji, ‪Mohammed
author_sort Tahri Sqalli, Mohammed
collection PubMed
description BACKGROUND: Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical students perform the task of interpretation is important for improving this skill. OBJECTIVE: We aimed to use eye tracking as a tool to research how eye fixation can be used to gain a deeper understanding of how medical students interpret ECGs. METHODS: In total, 16 medical students were recruited to interpret 10 different ECGs each. Their eye movements were recorded using an eye tracker. Fixation heatmaps of where the students looked were generated from the collected data set. Statistical analysis was conducted on the fixation count and duration using the Mann-Whitney U test and the Kruskal-Wallis test. RESULTS: The average percentage of correct interpretations was 55.63%, with an SD of 4.63%. After analyzing the average fixation duration, we found that medical students study the three lower leads (rhythm strips) the most using a top-down approach: lead II (mean=2727 ms, SD=456), followed by leads V1 (mean=1476 ms, SD=320) and V5 (mean=1301 ms, SD=236). We also found that medical students develop a personal system of interpretation that adapts to the nature and complexity of the diagnosis. In addition, we found that medical students consider some leads as their guiding point toward finding a hint leading to the correct interpretation. CONCLUSIONS: The use of eye tracking successfully provides a quantitative explanation of how medical students learn to interpret a 12-lead ECG.
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spelling pubmed-85546762021-11-10 Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach Tahri Sqalli, Mohammed Al-Thani, Dena Elshazly, Mohamed B Al-Hijji, ‪Mohammed JMIR Med Educ Original Paper BACKGROUND: Accurate interpretation of a 12-lead electrocardiogram (ECG) demands high levels of skill and expertise. Early training in medical school plays an important role in building the ECG interpretation skill. Thus, understanding how medical students perform the task of interpretation is important for improving this skill. OBJECTIVE: We aimed to use eye tracking as a tool to research how eye fixation can be used to gain a deeper understanding of how medical students interpret ECGs. METHODS: In total, 16 medical students were recruited to interpret 10 different ECGs each. Their eye movements were recorded using an eye tracker. Fixation heatmaps of where the students looked were generated from the collected data set. Statistical analysis was conducted on the fixation count and duration using the Mann-Whitney U test and the Kruskal-Wallis test. RESULTS: The average percentage of correct interpretations was 55.63%, with an SD of 4.63%. After analyzing the average fixation duration, we found that medical students study the three lower leads (rhythm strips) the most using a top-down approach: lead II (mean=2727 ms, SD=456), followed by leads V1 (mean=1476 ms, SD=320) and V5 (mean=1301 ms, SD=236). We also found that medical students develop a personal system of interpretation that adapts to the nature and complexity of the diagnosis. In addition, we found that medical students consider some leads as their guiding point toward finding a hint leading to the correct interpretation. CONCLUSIONS: The use of eye tracking successfully provides a quantitative explanation of how medical students learn to interpret a 12-lead ECG. JMIR Publications 2021-10-14 /pmc/articles/PMC8554676/ /pubmed/34647899 http://dx.doi.org/10.2196/26675 Text en ©Mohammed Tahri Sqalli, Dena Al-Thani, Mohamed B Elshazly, ‪Mohammed Al-Hijji. Originally published in JMIR Medical Education (https://mededu.jmir.org), 14.10.2021. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in JMIR Medical Education, is properly cited. The complete bibliographic information, a link to the original publication on https://mededu.jmir.org/, as well as this copyright and license information must be included.
spellingShingle Original Paper
Tahri Sqalli, Mohammed
Al-Thani, Dena
Elshazly, Mohamed B
Al-Hijji, ‪Mohammed
Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title_full Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title_fullStr Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title_full_unstemmed Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title_short Interpretation of a 12-Lead Electrocardiogram by Medical Students: Quantitative Eye-Tracking Approach
title_sort interpretation of a 12-lead electrocardiogram by medical students: quantitative eye-tracking approach
topic Original Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8554676/
https://www.ncbi.nlm.nih.gov/pubmed/34647899
http://dx.doi.org/10.2196/26675
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