Chaudhry, E., Chang, J. and Zhang, J., 2025. Virtual Reality Training System for Nurses: Evaluating Risks in Patients Home Environments. In: Li, P. and Pan, Z., eds. VRCAI '24: Proceedings of the 19th ACM SIGGRAPH International Conference on Virtual-Reality Continuum and its Applications in Industry. New York, NY: ACM, 7.
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Abstract
In this paper, we introduce a Virtual Reality (VR) nurse training simulation system designed to enhance risk management skills within patient home environments. Our VR training system focuses on preparing nurses to identify, assess, and respond to various hazards and risk factors commonly encountered in home care settings. By simulating realistic home environments and potential patient safety risks, our VR training system aims to improve nurse's situational awareness, decision-making abilities, and readiness to address complex scenarios in non-hospital environments. This approach supports the development of critical competencies essential for providing safe and effective care in patient's homes. The VR training system enhances student engagement through immersive, interactive experiences and offers immediate feedback to support effective learning. Our VR nurse training system consist of several essential components: realistic and relevant scenarios, alignment with the nursing curriculum, active instructor involvement, robust assessment tools, accessibility for all learners, and a commitment to continual improvement. Although challenges exist such as the high cost of VR technology, potential technical issues, and the need for specialized instructor training, however these can be mitigated through thoughtful planning and institutional support. Overall, VR holds the potential to transform nurse training by delivering hands-on, practical experiences that go beyond what traditional teaching methods can offer, preparing students with essential skills in a safe and controlled environment.
Item Type: | Book Section |
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ISBN: | 9798400713484 |
Additional Information: | Nanjing Guangdong Province, China, 1-2 Dec, 2024 |
Uncontrolled Keywords: | Nurse training; Virtual interactive; Virtual reality; VR training system |
Group: | Faculty of Media & Communication |
ID Code: | 40862 |
Deposited By: | Symplectic RT2 |
Deposited On: | 18 Mar 2025 12:22 |
Last Modified: | 18 Mar 2025 12:22 |
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