TY - GEN
T1 - The Journey Towards an Accurate Electrocardiogram Interpretation
T2 - 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021
AU - Sqalli, Mohammed Tahri
AU - Al-Thani, Dena
AU - Elshazly, Mohamed B.
AU - Al-Hijji, Mohammed
AU - Houssaini, Yahya Sqalli
N1 - Publisher Copyright:
© 2021 IEEE
PY - 2021
Y1 - 2021
N2 - The electrocardiogram is ranked among the top used medical diagnostic tests worldwide. Although its widespread use in the healthcare sector, there is a restricted body of research that depicts how medical practitioners interpret it. This is primarily due to the limited quantitative research methodologies that were able to capture this subtle skill during the previous two decades. In addition, there is a restricted set of international guidelines that unify the electrocardiogram interpretation process across different health institutions. This set of factors contributes towards the insufficiency of training provided to future medical practitioners. This also leads to the unpreparedness by students who are about to embark into the medical journey. In this paper, we present the overview and the general results for an eye tracking based experimental study that assessed the expertise of medical practitioners with varying expertise levels, namely medical students, nurses, technicians, fellows, and finally cardiology consultants. Those were assessed across ten categories of heart abnormalities depicted through ten 12-lead electrocardiograms. The study is done with an inherent aim in mind, which is to find innovative training solutions for cardiology professionals for a better electrocardiogram interpretation.
AB - The electrocardiogram is ranked among the top used medical diagnostic tests worldwide. Although its widespread use in the healthcare sector, there is a restricted body of research that depicts how medical practitioners interpret it. This is primarily due to the limited quantitative research methodologies that were able to capture this subtle skill during the previous two decades. In addition, there is a restricted set of international guidelines that unify the electrocardiogram interpretation process across different health institutions. This set of factors contributes towards the insufficiency of training provided to future medical practitioners. This also leads to the unpreparedness by students who are about to embark into the medical journey. In this paper, we present the overview and the general results for an eye tracking based experimental study that assessed the expertise of medical practitioners with varying expertise levels, namely medical students, nurses, technicians, fellows, and finally cardiology consultants. Those were assessed across ten categories of heart abnormalities depicted through ten 12-lead electrocardiograms. The study is done with an inherent aim in mind, which is to find innovative training solutions for cardiology professionals for a better electrocardiogram interpretation.
KW - ECG
KW - ECG interpretation
KW - Electrocardiogram
KW - Eye-tracking
KW - Human-computer interaction
UR - http://www.scopus.com/inward/record.url?scp=85123996517&partnerID=8YFLogxK
U2 - 10.1109/BESC53957.2021.9635168
DO - 10.1109/BESC53957.2021.9635168
M3 - Conference contribution
AN - SCOPUS:85123996517
T3 - Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021
BT - Proceedings of 2021 8th IEEE International Conference on Behavioural and Social Computing, BESC 2021
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 29 October 2021 through 31 October 2021
ER -