2025 年 12 巻 1 号 p. 94
Objectives: Digital Transformation (DX) is bringing innovation to disaster nursing education. This study aims to develop a higher-quality virtual simulation system using generative AI, computer graphics, large displays, projection mapping, and virtual reality, with a focus on disaster scenarios.
Methods: First, I used generative AI and natural language processing technology to develop a digital simulated patient capable of realistic dialogue. In addition, I used computer graphics to reproduce the realistic movements and facial expressions of a patient. I then investigated various exercises and practical training related to the development of a digital simulated patient in a specific disaster. Furthermore, in developing a digital simulated patient in a disaster, I actually used ICT to consider various digital transformations and digital content, and compiled ICT-related information that can be used in four categories: communication with patients and users, physical assessment of patients, clinical experience, and nursing process.
Findings: The developed virtual simulation system significantly reduced costs compared to traditional simulations and high-performance simulators. The combination of large displays, projection mapping, and virtual reality provided an immersive learning environment similar to real disaster scenes. However, limitations in communication were evident as the technology is still in the early stages of development. Achieving “real-time interactivity,” which is crucial in disaster nursing education, remains challenging with current technology. Further research and development are needed to address these issues.
Implications: The virtual simulation system utilizing generative AI, computer graphics, large displays, projection mapping, and virtual reality shows great promise for providing higher-quality education in disaster nursing. While many challenges remain at the current stage, this technology is particularly beneficial for educational institutions with limited budgets and learners in remote areas. It has the potential to become a new standard in disaster nursing education, but further improvements are required.
