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Nurses' Perspectives on AI in Clinical Practice: Implications for Training and Workforce Development.

Monica Lansdowne¹, Jessica Sperling², Kay S Lytle³

¹Nursing Program Informatics, Duke University School of Nursing Durham, North Carolina.

Nursing Administration Quarterly

|September 19, 2025

Summary

This summary is machine-generated.

Nurses report limited experience with artificial intelligence (AI) in clinical settings. Enhanced training in AI ethics and technical skills is crucial for responsible adoption and integration into nursing practice.

Keywords:

artificial intelligence clinical practice ethics health care surveys health care technology nursing nursing education workforce development

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Area of Science:

Nursing Informatics
Clinical AI Adoption
Healthcare Technology

Background:

Artificial intelligence (AI) is increasingly integrated into healthcare.
Understanding nurses' perspectives is vital for successful AI implementation in clinical practice.

Purpose of the Study:

To explore nurses' perspectives on the adoption and utilization of AI in clinical practice.
To identify concerns and suggestions regarding AI deployment among nursing professionals.

Main Methods:

A survey with open-ended questions was administered to nurses.
Data collection occurred within a large university-affiliated health system in the southeastern United States.

Main Results:

Most nurses have limited experience with generative and predictive AI tools.
Key concerns include training availability, AI process integration, and ethical implications.
Identified critical workforce development needs for AI in nursing.

Conclusions:

Nurses require more structured training for responsible AI use.
Nurse administrators must address nurses' hesitations for effective AI integration.
Insights inform AI curriculum development and professional nursing development.