Digital Innovations Improving Nursing Practice Through Artificial Intelligence: The State of the Science

Area of Science:

• Nursing Informatics
• Artificial Intelligence in Healthcare
• Digital Health Innovations

Background:

• Registered nurses face challenges adopting and evaluating artificial intelligence (AI) in clinical settings.
• AI integration in healthcare requires careful consideration of its impact on nursing practice.
• The rapid evolution of AI necessitates a review of its current applications in nursing.

Purpose of the Study:

• To systematically review and analyze scientific literature on AI-driven innovations improving nursing practice.
• To identify contemporary digital solutions impacting nursing and their implementation.
• To understand the role of AI as an assistive entity in healthcare.

Main Methods:

• A scoping review methodology was employed.
• Thematic analysis was used to analyze data from CINAHL and PubMed databases (2022-2024).
• Large language models and associated software tools were utilized, emphasizing human-in-the-loop processes.

Main Results:

• Key themes include enhanced patient safety, increased trust, and greater acceptance of AI.
• AI is predominantly viewed as an assistive tool across various healthcare applications.
• The literature reveals a dynamic landscape with competing themes regarding AI implementation.

Conclusions:

• Effective implementation of AI as an assistive mechanism is vital for improving patient safety, quality of care, and building trust.
• Transparency in all AI innovation phases (inception to evaluation) is recommended.
• Participatory implementation strategies are essential for successful AI integration into nursing practice.