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Artificial Intelligence-Ready Doctor of Nursing Practice Education: A Competency-Based Approach.

Veronica Ronnie Quattrini1, Lisa Taylor2, Donna Lynch-Smith3

  • 1Doctor of Nursing Practice, University of Maryland School of Nursing, Baltimore, MD, USA vquattrini@umaryland.edu.

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Summary

Integrating artificial intelligence (AI) into Doctor of Nursing Practice (DNP) programs is crucial for preparing advanced practice registered nurses (APRNs) for AI-enhanced healthcare. This involves curricular reform and ethical guidelines for responsible AI adoption.

Keywords:
Doctor of Nursing Practice (DNP)advanced practice registered nurses (APRNs)artificial intelligence (AI)nursing education

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Area of Science:

  • Nursing Education
  • Health Informatics
  • Artificial Intelligence in Healthcare

Background:

  • Artificial intelligence (AI) is increasingly integrated into healthcare delivery.
  • Doctor of Nursing Practice (DNP) programs must incorporate AI competencies for advanced practice registered nurses (APRNs).

Purpose of the Study:

  • Examine AI integration in DNP education.
  • Address policy, best practices, and leadership strategies for AI-enhanced environments.
  • Prepare APRNs to utilize AI tools effectively and ethically.

Main Methods:

  • Review of institutional innovations and faculty strategies.
  • Analysis of AI applications: adaptive learning, virtual simulations, predictive analytics, AI-driven clinical decision support.
  • Case exemplars of implementation and educational outcomes.

Main Results:

  • AI tools improve student engagement, individualized learning, and clinical reasoning.
  • Enhanced decision-making, mentorship, and competency tracking observed.
  • Identified limitations, risks, and guiding principles for AI implementation.

Conclusions:

  • Embedding AI in DNP education requires curricular reform, leadership support, and ethical oversight.
  • Nursing faculty must champion responsible AI use for evidence-based, technology-driven practice.
  • DNP-prepared nurses can lead AI tool development and implementation.