Standards-Aligned Integration of Artificial Intelligence and Simulation in Nursing Professional Development for...

Area of Science:

• Healthcare Education
• Nursing Informatics
• Artificial Intelligence in Medicine

Background:

• Artificial intelligence (AI) is transforming healthcare delivery.
• Nursing professional development (NPD) educators face the challenge of preparing novice nurses for this digital shift.
• Accreditation standards increasingly emphasize digital competencies in transition-to-practice programs.

Purpose of the Study:

• To explore the integration of digital competencies into nursing education.
• To examine the role of simulation-based education (SBE) in fostering digital readiness.
• To evaluate AI-enhanced strategies for improving novice nurses' digital literacy and clinical reasoning.

Main Methods:

• Utilizing simulation-based education (SBE) as a pedagogical framework.
• Integrating AI-enhanced ethical case studies into the curriculum.
• Employing reflective debriefings to enhance learning outcomes.
• Focusing on curriculum design for transition-to-practice programs.

Main Results:

• AI-enhanced SBE effectively promotes digital literacy in novice nurses.
• Simulation strategies improve clinical reasoning skills relevant to AI in practice.
• Formalized curriculum design supports evidence-based integration of digital competencies.
• SBE advances readiness for contemporary healthcare environments.

Conclusions:

• Simulation-based education is a vital strategy for equipping novice nurses with essential digital skills.
• AI-enhanced learning tools can significantly improve digital literacy and clinical reasoning.
• NPD educators must prioritize digital readiness to prepare nurses for AI-integrated healthcare.
• This approach supports the evidence-based development of practice-ready nurses.