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Integrating Artificial Intelligence Technology Into Simulation for Pre- and Postlicensure Nursing Students.

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Artificial intelligence (AI) enhances nursing education by enabling realistic opioid overdose simulations. Students found AI-enabled manikins engaging and recommended them for training future nurses in overdose management.

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Area of Science:

  • Medical Simulation
  • Artificial Intelligence in Healthcare Education
  • Nursing Education

Background:

  • Artificial intelligence (AI) integration into healthcare simulation education remains limited.
  • Opioid-involved overdose management is a critical skill for nursing students.
  • Simulation-based learning offers a safe environment for practicing complex clinical scenarios.

Purpose of the Study:

  • To design and implement AI-enabled simulation scenarios for opioid-involved overdose management.
  • To evaluate nursing students' engagement and perception of AI-enabled manikins in overdose simulations.
  • To provide a template for integrating AI into simulation education.

Main Methods:

  • Development of AI-enabled simulation scenarios focused on opioid-involved overdose.
  • Utilized AI-enabled manikins for interactive student learning experiences.
  • Collected feedback from 30 pre- and postlicensure nursing students post-simulation.

Main Results:

  • Participants reported positive engagement with the AI-enabled manikins.
  • The AI-enabled manikin simulations were found to be an effective learning tool.
  • A high percentage of students indicated they would recommend this technology for nursing education.

Conclusions:

  • AI-enabled manikins are a valuable tool for teaching opioid overdose assessment and management.
  • This approach can enhance nursing students' preparedness for real-world overdose emergencies.
  • The study provides a framework for implementing AI in simulation-based nursing education.