How to Improve Medical Simulation Training: A New Methodology Based on Ergonomic Evaluation

Brunzini, Agnese; Papetti, Alessandra; Serrani, Eleonora Brandoni; Scafà, Martina; Germani, Michele

doi:10.1007/978-3-030-20135-7_14

Cited by 7 publications

(4 citation statements)

References 6 publications

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“…• The Aptitude to simulation and technology refers to the personal aptitude towards the simulation-based training and familiarity that subjects have with the use of technology, defined as the application of information technology and telematic devices (i.e. the experience that they have with technological devices from a common smartphone to more sophisticated tools such as HMDs or haptic gloves) (Brunzini et al 2020). It is administered before and after the training to understand how the simulation and use of XR influence the learners' opinions.…”

Section: How To Assess the Effectiveness Of A Medical Simulationmentioning

confidence: 99%

“…Whether it uses low-or high-fidelity tools, this learning model includes cognitive, technical, and behavioural skills into instructional scenarios, which represent the reality within which learners interact. It emerges as an effective teaching method that transmits a greater motivation in the learning phase (Brunzini et al 2020). The teacher manages the scenario and controls the parameters to achieve the desired learning goals.…”

Section: Introductionmentioning

confidence: 99%

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A comprehensive method to design and assess mixed reality simulations

et al. 2022

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The scientific literature highlights how Mixed Reality (MR) simulations allow obtaining several benefits in healthcare education. Simulation-based training, boosted by MR, offers an exciting and immersive learning experience that helps health professionals to acquire knowledge and skills, without exposing patients to unnecessary risks. High engagement, informational overload, and unfamiliarity with virtual elements could expose students to cognitive overload and acute stress. The implementation of effective simulation design strategies able to preserve the psychological safety of learners and the investigation of the impacts and effects of simulations are two open challenges to be faced. In this context, the present study proposes a method to design a medical simulation and evaluate its effectiveness, with the final aim to achieve the learning outcomes and do not compromise the students' psychological safety. The method has been applied in the design and development of an MR application to simulate the rachicentesis procedure for diagnostic purposes in adults. The MR application has been tested by involving twenty students of the 6th year of Medicine and Surgery of Università Politecnica delle Marche. Multiple measurement techniques such as self-report, physiological indices, and observer ratings of performance, cognitive and emotional states of learners have been implemented to improve the rigour of the study. Also, a user-experience analysis has been accomplished to discriminate between two different devices: Vox Gear Plus® and Microsoft Hololens®. To compare the results with a reference, students performed the simulation also without using the MR application. The use of MR resulted in increased stress measured by physiological parameters without a high increase in perceived workload. It satisfies the objective to enhance the realism of the simulation without generating cognitive overload, which favours productive learning. The user experience (UX) has found greater benefits in involvement, immersion, and realism; however, it has emphasized the technological limitations of devices such as obstruction, loss of depth (Vox Gear Plus), and narrow FOV (Microsoft Hololens).

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Section: How To Assess the Effectiveness Of A Medical Simulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A comprehensive method to design and assess mixed reality simulations

et al. 2022

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“…Then, the real medical procedure must be described by the framework submodules. As already explained in a previous authors' work (Brunzini et al, 2019), it means to design the simulation scenario:  Features definition: the simulation features must be defined in terms of environment characteristics (location, layout, etc. ), clinical actors (profile, role, etc.…”

Section: Simulation Designmentioning

confidence: 99%

Mixed Reality in Medical Simulation: A Comprehensive Design Methodology

et al. 2021

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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.

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“…Several studies in the scientific literature analyzed the user experience, physical, and cognitive ergonomics with transdisciplinary approaches in the simulation context, but they are mainly applied to the aviation [4], and automotive [5] domains. Therefore, it emerges the need to apply such kind of transdisciplinary analysis also to the medical simulation training [6]. It would be extremely useful for the optimization and re-design of simulators and simulations, from a user-centered design perspective, and thus for the improvement of learners' performance, avoiding cognitive overloads and excessive stress.…”

Section: Introductionmentioning

confidence: 99%

A Transdisciplinary Approach for the Design Optimization of Medical Simulations

Brunzini

Peruzzini

Germani

et al. 2021

Advances in Transdisciplinary Engineering

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Simulation in healthcare is rapidly replacing more traditional educational methods, becoming a fundamental step in the medical training path. Medical simulations have a remarkable impact not only on learners’ competencies and skills but also on their attitudes, behaviors, and emotions such as anxiety, stress, mental effort, and frustration. All these aspects are transferred to the real practice and reflected on patients’ safety and outcomes. The design of medical simulations passes through a careful analysis of learning objectives, technology to be used, instructor’s and learners’ roles, performance assessment, and so on. However, an overall methodology for the simulation assessment and consequent optimization is still lacking. The present work proposes a transdisciplinary framework for the analysis of simulation effectiveness in terms of learners’ performance, ergonomics conditions, and emotional states. It involves collaboration among different professional figures such as engineers, clinicians, specialized trainers, and human factors specialists. The aim is to define specific guidelines for the simulation optimization, to obtain enhanced learners’ performance, improved ergonomics, and consequently positively affect the patient treatment, leading to cost savings for the healthcare system. The proposed framework has been tested on a low-fidelity simulation for the training of rachicentesis and has allowed the definition of general rules for its enhancement.

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How to Improve Medical Simulation Training: A New Methodology Based on Ergonomic Evaluation

Cited by 7 publications

References 6 publications

A comprehensive method to design and assess mixed reality simulations

A comprehensive method to design and assess mixed reality simulations

Mixed Reality in Medical Simulation: A Comprehensive Design Methodology

A Transdisciplinary Approach for the Design Optimization of Medical Simulations

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