Revolutionizing Nurse Practitioner Training: Integrating Virtual Reality and Large Language Models for Enhanced...

Area of Science:

• Medical Education Technology
• Virtual Reality in Healthcare
• Artificial Intelligence in Nursing

Background:

• Traditional nursing education faces challenges in providing consistent, realistic patient interaction scenarios.
• Developing advanced clinical decision-making and communication skills requires immersive and safe training environments.
• The integration of emerging technologies offers potential solutions for enhancing practical nursing skills.

Purpose of the Study:

• To introduce and evaluate an innovative virtual reality (VR) training program for student Nurse Practitioners.
• To assess the program's effectiveness in improving patient communication, history-taking, and clinical decision-making.
• To explore the impact of integrating 3D modeling, animation, and Large Language Models (LLMs) in nursing education.

Main Methods:

• Development of a VR training program featuring realistic patient simulations.
• Incorporation of advanced 3D modeling and animation for immersive environments.
• Utilization of Large Language Models (LLMs) to drive dynamic patient interactions and feedback.

Main Results:

• The VR program successfully simulated authentic patient encounters.
• Preliminary data suggests improvements in student communication and history-taking abilities.
• The LLM component facilitated adaptive and responsive patient dialogue.

Conclusions:

• The VR training program offers a promising, innovative approach to enhance Nurse Practitioner education.
• This technology has the potential to significantly improve essential clinical skills in a controlled setting.
• Further research is warranted to fully quantify the long-term impact on clinical competency and patient outcomes.