Research trends in generative artificial intelligence in nursing: a scoping review

Area of Science:

• Nursing
• Artificial Intelligence
• Healthcare Technology

Background:

• Generative artificial intelligence (AI) applications in nursing literature remain under-explored.
• Nursing research needs to analyze AI's impact and potential.
• Understanding AI's role is crucial for future nursing practice.

Purpose of the Study:

• To conduct a scoping review of generative AI research in nursing.
• To identify trends in generative AI within the nursing field.
• To propose strategies for effective generative AI utilization in nursing.

Main Methods:

• Scoping review following Arksey and O'Malley's framework.
• Inclusion criteria: nursing studies, generative AI focus, original research articles, and academic publications.
• Extensive database search including PubMed, Embase, CINAHL, and nursing-specific journals.

Main Results:

• 58 studies analyzed from 403 initial results.
• Care domain: strengths in information retrieval and communication; limitations in human element and reliability.
• Research domain: strengths in efficiency and dissemination; weaknesses in ethics and accuracy.
• Education domain: strengths in time-saving and content creation; challenges in bias and plagiarism.

Conclusions:

• Generative AI presents both benefits and limitations across nursing domains.
• Effective application requires comprehensive guidelines, policies, and user education.
• Creating learning opportunities for nurses, educators, and students is essential.