Abstract
An adequate medical education is the key driver of healthcare quality improvement. Technological innovations have led to consistent improvement in learning outcomes but the systematic measurement of students performance and cognitive workload need further research. The aim of this paper is to propose an innovative method for the Design and Development of new advanced learning models, to be used in the training of medical students, which includes also the analysis of students performance and cognitive ergonomics. A web-based survey, on team simulation training and technology role, has been administered to 180 medical students. On the basis of this analysis, a list of guidelines for the design of medical education training has been proposed.
Keywords
This is a preview of subscription content, log in via an institution.
Buying options
Tax calculation will be finalised at checkout
Purchases are for personal use only
Learn about institutional subscriptionsReferences
World Health Organization – Regional Office for Europe. http://www.euro.who.int/en/health-topics/Health-systems/patient-safety/data-and-statistics
Zhu, E., Hadadgar, A., Masiello, I., Zary, N.: Augmented reality in healthcare education: an integrative review. PeerJ 2, 1–17 (2014)
Garzón, J., Pavón, J., Baldiris, S.: Augmented reality applications for education: five directions for future research. In: Proceedings of 4th International Conference on Augmented Reality, Virtual Reality and Computer Graphics – AVR, Part I, Ugento, Italy, pp. 402–414 (2017)
Herron, J.: Augmented reality in medical education and training. J. Electron. Resour. Med. Libr. 13(2), 51–55 (2016)
Chaballout, B., Molloy, M., Vaughn, J., Brisson III, R.: Feasibility of augmented reality in clinical simulations: using Google glass with manikins. JMIR Med. Educ. 2, 1–6 (2016)
Arora, S., Sevdalis, N., Nestel, D., Woloshynowych, M., Darzi, A., Kneebone, R.: The impact of stress on surgical performance: a systematic review of the literature. Surgery 147, 318–330 (2009)
Cain, B.: A review of the mental workload literature (2007)
Longo, L.: Formalising human mental workload as a defeasible computational concept (2014)
Xie, B., Salvendy, G.: Review and reappraisal of modelling and predicting mental workload in single- and multi-task environments. Work Stress 14(1), 74–99 (2000)
International Encyclopedia of Ergonomics and Human Factors - 3 Volume Set. Taylor & Francis. https://www.taylorfrancis.com/books/e/9780849375477
Acknowledgments
We thank our colleagues from the Faculty of Medicine and Surgery who provided insight and expertise that greatly assisted the research.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2020 Springer Nature Switzerland AG
About this paper
Cite this paper
Brunzini, A., Papetti, A., Serrani, E.B., Scafà, M., Germani, M. (2020). How to Improve Medical Simulation Training: A New Methodology Based on Ergonomic Evaluation. In: Karwowski, W., Ahram, T., Nazir, S. (eds) Advances in Human Factors in Training, Education, and Learning Sciences. AHFE 2019. Advances in Intelligent Systems and Computing, vol 963. Springer, Cham. https://doi.org/10.1007/978-3-030-20135-7_14
Download citation
DOI: https://doi.org/10.1007/978-3-030-20135-7_14
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-20134-0
Online ISBN: 978-3-030-20135-7
eBook Packages: EngineeringEngineering (R0)