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MIXED REALITY IN MEDICAL SIMULATION: A COMPREHENSIVE DESIGN METHODOLOGY

Published online by Cambridge University Press:  27 July 2021

Agnese Brunzini*
Affiliation:
Università Politecnica delle Marche, Department of Industrial Engineering and Mathematical Sciences;
Alessandra Papetti
Affiliation:
Università Politecnica delle Marche, Department of Industrial Engineering and Mathematical Sciences;
Michele Germani
Affiliation:
Università Politecnica delle Marche, Department of Industrial Engineering and Mathematical Sciences;
Erica Adrario
Affiliation:
Università Politecnica delle Marche, Department of Biomedical Sciences and Public Health, Section of Anaesthesia and Intensive Care Unit
*
Brunzini, Agnese, Università Politecnica delle Marche, Department of Industrial Engineering and Mathematical Sciences, Italy, [email protected]

Abstract

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In the medical education field, the use of highly sophisticated simulators and extended reality (XR) simulations allow training complex procedures and acquiring new knowledge and attitudes. XR is considered useful for the enhancement of healthcare education; however, several issues need further research.

The main aim of this study is to define a comprehensive method to design and optimize every kind of simulator and simulation, integrating all the relevant elements concerning the scenario design and prototype development.

A complete framework for the design of any kind of advanced clinical simulation is proposed and it has been applied to realize a mixed reality (MR) prototype for the simulation of the rachicentesis. The purpose of the MR application is to immerse the trainee in a more realistic environment and to put him/her under pressure during the simulation, as in real practice.

The application was tested with two different devices: the headset Vox Gear Plus for smartphone and the Microsoft Hololens. Eighteen students of the 6th year of Medicine and Surgery Course were enrolled in the study. Results show the comparison of user experience related to the two different devices and simulation performance using the Hololens.

Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2021. Published by Cambridge University Press

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