Nurses' and Nursing Students' Experiences With Generative Artificial Intelligence in Educational and Clinical...

Area of Science:

• Nursing
• Artificial Intelligence
• Healthcare Technology

Background:

• Generative Artificial Intelligence (GenAI) is increasingly relevant in healthcare.
• Understanding user experiences is crucial for technology adoption.
• Nurses and nursing students are key stakeholders in healthcare innovation.

Purpose of the Study:

• To review the literature on nurses' and nursing students' experiences with GenAI.
• To identify factors influencing the adoption and use of GenAI in nursing.
• To explore the role of GenAI in nursing practice and education.

Main Methods:

• A scoping review following the Arksey and O'Malley framework.
• Searched five databases for studies published between January 2020 and July 2025.
• Included 20 papers after systematic screening.

Main Results:

• Nurses' experiences with GenAI were predominantly positive.
• Nursing students' perceptions of GenAI were mixed but mostly positive.
• Attitudinal, normative, and control beliefs significantly impact GenAI use intentions.

Conclusions:

• GenAI adoption in nursing is influenced by user beliefs and experiences.
• The Theory of Planned Behavior can predict behavioral intentions towards GenAI.
• Nurse leaders should guide policy and ethical frameworks for responsible GenAI integration.