Use of digital software as a medical education tool in teaching electrocardiogram interpretation: a systematic review
DOI:
https://doi.org/10.33448/rsd-v10i12.20865Keywords:
Electrocardiogram; Medical education; Teaching; Students; Distance learning.Abstract
In 1887 the first human electrocardiogram was registered and in 1902 the electrocardiograph was invented. This represents the cardiac electrical activity in a non-invasive way through the surface of the body and is a component for the evaluation of cardiac diseases. It is low cost and risk. The electrocardiogram is an important tool and is poorly interpreted by medical students and physicians and, therefore, new digital technologies through software are used to facilitate the process. Medical education with the assistance of these digital platforms allows to improve knowledge, understanding and learning. The objective of this systematic literature review is to evaluate the teaching of electrocardiogram interpretation in the medical field and to identify the best way of teaching: traditional, through face-to-face classes, digital using technological platforms or a combination of both methodologies. Twelve scientific papers addressing medical education time in electrocardiogram interpretation, using the terms electrocardiogram, teaching or learning, computer or web-based or software and their correlates in English, were evaluated after the exclusion criteria. It can be concluded, after reviewing, that, considering the studies evaluated, the use of digital platforms provided improvement in the skills of interpreting the electrocardiogram due to availability at more flexible times and places and repetition as needed. However, not defining a specific time, the need for discipline on the part of the learner and the absence of group interactivity are factors that distance students from this method and showing that this teaching should not be used in isolation, but in a complementary way to the traditional method.
References
Akbarzadeh, Fariborz & Kazemi, Babak & Alizadeh, Azin & Akbarzadeh, Amir. (2012). The Efficacy of Web-Based Multimedia Education of Normal Electrocardiogram in Junior and Senior Medical Students. Research and Development in Medical Education. 1. 10.5681/rdme.2012.016.
Barthelemy, F.X., Segard, J., Fradin, P., Hourdin, N., Batard, E., Pottier, P., Potel, G., Montassier, E. (2017). ECG interpretation in Emergency Department residents: an update and e-learning as a resource to improve skills. Eur J Emerg Med.
Bojsen, Signe & Räder, Sune & Holst, Anders & Kayser, Lars & Ringsted, Charlotte & Svendsen, Jesper & Konge, Lars. (2015). The acquisition and retention of ECG interpretation skills after a standardized web-based ECG tutorial–a randomised study. BMC medical education.
Cantillon, P. (2003). ABC of learning and teaching in medicine: Teaching large groups. BMJ;7386(326):437-437.
Clayden, G.S., Wilson. B. (1988). Computer-assisted learning in medical education. Med Educ.
Davies, A., Macleod, R., Bennett-Britton, I., McElnay, P., Bakhbakhi, D., Sansom, J. (2016). E-learning and near-peer teaching in electrocardiogram education: a randomised trial. Clin Teach.
Fent, G., Gosai, J., Purva, M. (2015). Teaching the interpretation of electrocardiograms: which method is best? J Electrocardiol.
Fent, G., Gosai, J., Purva, M. (2016). A randomized control trial comparing use of a novel electrocardiogram simulator with traditional teaching in the acquisition of electrocardiogram interpretation skill. JournalofElectrocardiology.
Fincher, R.E., Abdulla, A.M., Sridharan, M.R., Houghton, J.L., Henke, J.S. (19888). Computer-assisted learning compared with weekly seminars for teaching fundamental electrocardiography to junior medical students. South Med J.
Giffoni, R.T., Torres, R.M. (2010). Breve história da eletrocardiografia. Revista Médica de Minas Gerais; 20(2):263-270.
Henry, J.B. (1990). Computers in medical education: information and knowledge management, understanding, and learning. Hum Pathol.
Keis, O., Grab, C., Schneider, A., Öchsner, W. (2017). Online or face-to-face instruction? A qualitative study on the electrocardiogram course at the University of Ulm to examine why students choose a particular format. BMC Medical Education.
Kopeć, G., Waligóra, M., Pacia, M., Chmielak, W., Stępień, A., Janiec, S., Magoń, W., Jonas, K., Podolec, P. (2018). Electrocardiogram reading: a randomized study comparing 2 e‑learning methods for medical students. Pol Arch Intern Med.
Marçal, E., Andrade, R., Rios, R. (2005). Aprendizagem utilizando Dispositivos Móveis com Sistemas de Realidade Virtual. RENOTE – RevistaNovasTecnologiasnaEducação.
Montassier, E., Hardouin, J.B., Segard, J., Batard, E., Potel, G., Planchon, B., et al. (2016). e-Learning versus lecture-based courses in ECG interpretation for undergraduate medical students: a randomized noninferiority study. Eur J Emerg Med
Nilsson, M., Bolinder, G., Held, C., Johansson, B., Fors, U., Östergren, J. (2008). Evaluation of a web-based ECG-interpretation programme for undergraduate medical students. BMC Medical Education2008;8:25.
Pastore, C.A., Pinho, J.A., Pinho, C., Samesima, N., Pereira Filho, H.G., Kruse, J.C.L., et al. (2016). III Diretrizes da Sociedade Brasileira de Cardiologia Sobre Análise e Emissão de Laudos Eletrocardiográficos. ArqBrasCardiol;106(4)supl.1:1-23.
Piemme, T.E. (1988). Computer-assisted learning and evaluation in medicine. JAMA.
Pontes, P.A.I., Chaves, R.O., Castro, R.C., de Souza, É.F., Seruffo, M.C.R., Francês, C.R.L. (2018). Educational Software Applied in Teaching Electrocardiogram: A Systematic Review. Biomed Res Int.
Sattar, Y., Chhabra, L. (2021). Electrocardiogram. [Updated 2021 Jul 31]. In: StatPearls [Internet]. Treasure Island (FL): StatPearls Publishing; Jan-.Available from: https://www.ncbi.nlm.nih.gov/books/NBK549803/
Viljoen, C. A., Millar, R. S., Manning, K., & Burch, V. C. (2020). Effectiveness of blended learning versus lectures alone on ECG analysis and interpretation by medical students. BMC medical education, 20(1), 488.
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Copyright (c) 2021 Diego Leonardo Menezes Maia; Calos José Mota de Lima; Nara Mirella Teixeira Paiva; Danielli Oliveira da Costa Lino; Jéssica Lustosa Costa Lima
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