OB-GYN

Comprehensive Summary

The aim of this study was to decide if implementing a virtual reality aspect into nursing education would allow for a more effective understanding of natural disasters and provide nurses with the necessary skills they would need in these scenarios. The experimental AI-VR escape room was tested on a group of clinical nurses and midwives from Chengdu Women’s and Children's Hospital, Chengdu Public Health Clinical Medical Center, Sichuan Orthopedic Hospital, and Shanghai's Children Medical Center. A survey was first developed which focused on these key topics: demographic information, understanding and attitudes towards technology, acceptance and willingness and past experiences with regards to VR. There was a high level of acceptance of the program in the survey. However, in the interview portion there were some concerns mentioned. For one, there were concerns about the technical challenges highlighting system complexity. In addition there were concerns of the cost of the program and the resources that would be needed to maintain this system. The authors then constructed a sample model of this VR program: which consisted of multiple escape rooms with a different scenario based timed session where the nurse would need to complete a series of assessment tasks in order to succeed. 38 participants were assessed in this experiment for improvement in skills after participating in the VR program. The results indicated significant improvement in understanding what to do in the natural disaster scenarios, indicating the benefits of implementing this type of program.

Outcomes and Implications

The research completed in this study highlights the value of a VR program that can be used to teach nurses how to handle natural disaster crises. As seen in the results of the study, most of the sample population agreed that having a VR program could be valuable, and the ones who participated in the model one showed improvement in their understanding of what they need to do. However, the authors mention that their sample size was small and a larger one with a more diverse background should be tested in order to understand the program's full effects before implementing it.

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AIIM Research

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© 2025 AIIM. Created by AIIM IT Team

AIIM Research

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© 2025 AIIM. Created by AIIM IT Team

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© 2025 AIIM. Created by AIIM IT Team