โก Quick Summary
This study presents a novel AI-powered virtual reality (VR) simulation framework for clinical handover training in nursing, addressing the limitations of traditional methods. Pilot testing revealed that the integration of real-person avatars and real-time feedback significantly enhanced training authenticity.
๐ Key Details
- ๐ Framework Structure: 3-layer architecture (system, interaction, presentation)
- โ๏ธ Technology Used: ChatGPT for adaptive responses, gamification interface, immersive VR
- ๐ฅ Avatars: AI avatars modeled after actual instructors
- ๐ Feedback Mechanism: ISBAR-based real-time feedback
- ๐ฉโ๐ Participants: Undergraduate nursing students
๐ Key Takeaways
- ๐ก Immersive training enhances the learning experience for nursing students.
- ๐ค AI integration provides personalized feedback during training sessions.
- ๐ Pilot testing showed improved authenticity with real-person avatars.
- โ ๏ธ Challenges in nonverbal synchronization were identified for future improvements.
- ๐ Framework offers systematic guidance for nursing educators.
- ๐ Positions nursing education at the forefront of pedagogical innovation.
๐ Background
Clinical handover is a crucial process in nursing that directly impacts patient safety. Traditional handover methods often lack the necessary immersion and realism, which can hinder effective training for nursing students. The integration of generative artificial intelligence (GenAI) and virtual reality (VR) presents an exciting opportunity to enhance this training process.
๐๏ธ Study
The study outlines a comprehensive framework for integrating AI and VR into clinical handover training. This framework consists of three layers: a system layer utilizing ChatGPT for adaptive responses, an interaction layer featuring a gamification interface, and a presentation layer that employs immersive VR with AI avatars based on real instructors. The aim was to create a more engaging and effective training environment for nursing students.
๐ Results
Pilot testing with undergraduate nursing students demonstrated that the use of real-person avatars and real-time ISBAR feedback significantly enhanced the authenticity of the training experience. However, the study also identified challenges related to nonverbal synchronization, which will be addressed in future iterations of the framework.
๐ Impact and Implications
The implications of this study are profound. By providing a structured framework for the integration of AI and VR in clinical handover training, nursing educators can enhance the quality of education and ultimately improve patient safety. This innovative approach positions nursing education at the cutting edge of technological advancement, paving the way for future developments in healthcare training.
๐ฎ Conclusion
This study highlights the transformative potential of AI and VR technologies in nursing education. By adopting this developmental framework, educators can create a more immersive and effective training environment for clinical handover, ensuring that future nurses are better prepared for real-world challenges. The future of nursing education is bright, and we encourage further exploration of these innovative technologies!
๐ฌ Your comments
What are your thoughts on the integration of AI and VR in nursing education? We would love to hear your insights! ๐ฌ Leave your comments below or connect with us on social media:
AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework.
Abstract
BACKGROUND: Clinical handover is critical for patient safety in nursing; however, traditional methods often lack immersion, realism, and personalized feedback, which hinders effective student training.
PROBLEM: Nurse educators face technical challenges and limited practical guidance when integrating generative artificial intelligence (GenAI) and virtual reality (VR) into handover education.
APPROACH: This article shares our developmental framework for integration, consisting of a 3-layer architecture: system (ChatGPT integration for adaptive responses), interaction (gamification interface), and presentation (immersive VR with Identification, Situation, Background, Assessment, Recommendation [ISBAR]-based AI avatars modeled after actual instructors).
RESULTS: Pilot testing with undergraduate students showed enhanced authenticity through real-person avatars and real-time ISBAR feedback, with challenges in nonverbal synchronization identified for future improvements.
CONCLUSIONS: This developmental framework and implementation checklist provide nursing educators with systematic guidance for deploying AI-VR technology in clinical handover training, positioning nursing education at the forefront of pedagogical innovation.
Author: [‘Chan MMK’, ‘Sze Ki Cheung D’, ‘Ho KHM’, ‘Ka Shun Hung C’, ‘Ko Hong Tai Z’, ‘Wai Hin Wan A’, ‘Yiu Cheong Wong B’, ‘Ka Chun Cheuk K’, ‘Lai PH’, ‘Chan KF’]
Journal: Nurse Educ
Citation: Chan MMK, et al. AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework. AI-Powered Virtual Reality Simulation for Clinical Handover Training: A Development Framework. 2025; (unknown volume):(unknown pages). doi: 10.1097/NNE.0000000000002018