Advancing Health Equity Through Artificial Intelligence: An Educational Framework for Preparing Nurses in Clinical...

Area of Science:

• Healthcare Informatics
• Nursing Education
• Artificial Intelligence in Medicine

Background:

• Artificial intelligence (AI) integration in healthcare promises enhanced patient care, diagnostics, and accessibility.
• Nurses are crucial for leveraging AI to create efficient and equitable healthcare systems.
• Current nursing education lacks comprehensive preparation for AI's practical and ethical application.

Purpose of the Study:

• To propose an educational framework for nurses on the integration of artificial intelligence (AI).
• To outline AI principles, skills, competencies, and curriculum development for nursing practice.
• To emphasize AI's role in achieving health equity and reducing disparities.

Main Methods:

• Framework development for nursing AI education.
• Curriculum design focusing on practical AI application and ethical considerations.
• Emphasis on health equity principles within AI training.

Main Results:

• A structured educational framework for nurses in AI.
• Competencies and curriculum guidelines for AI in nursing.
• Focus on practical skills for AI-assisted, equitable healthcare.

Conclusions:

• Nurses require specific education to effectively and ethically utilize AI in patient care.
• This framework prepares nurses to reduce health disparities through AI.
• Implementing this educational approach will foster a more efficient and equitable healthcare system.