Nursing Simulation 3.0: Contemporary issues in transitioning to extended reality

Area of Science:

• Nursing Education
• Medical Simulation Technology

Background:

• Simulation is a cornerstone of nursing education for skill and decision-making development.
• Traditional simulation tools, while advanced, may not fully capture complex patient interactions or dynamic clinical settings.

Purpose of the Study:

• To examine the historical evolution of nursing simulation through distinct phases.
• To explore the potential of emerging immersive technologies in nursing education.

Main Methods:

• Historical analysis of simulation development in nursing education.
• Review of three phases: Simulation 1.0 (static), Simulation 2.0 (computerized), and Simulation 3.0 (AI-enabled extended reality).

Main Results:

• Nursing simulation has progressed through static task trainers, computerized manikins, and AI-enabled extended reality platforms.
• Immersive technologies like virtual reality, augmented reality, and mixed reality offer interactive, scalable, and adaptive learning environments.

Conclusions:

• Emerging immersive simulation technologies present new opportunities for nursing education and workforce preparation.
• Challenges including cost, infrastructure, interoperability, data security, and faculty training need careful consideration for effective integration.