Artificial intelligence-assisted nursing care: a concept analysis using Walker and Avant approach

Area of Science:

• Nursing Informatics
• Artificial Intelligence in Healthcare
• Health Services Research

Background:

• Artificial Intelligence (AI) integration in healthcare offers potential for nursing practice.
• Lack of clear consensus on AI-assisted nursing care hinders clinical implementation.
• Concept analysis is needed to define AI-assisted nursing care for research and practice.

Purpose of the Study:

• To clarify the concept of AI-assisted nursing care.
• To inform future research and clinical practice regarding AI in nursing.
• To establish a clear definition through concept analysis.

Main Methods:

• Utilized the Walker and Avant concept analysis method.
• Conducted a comprehensive literature review across major databases (PubMed, Scopus, etc.).
• Analyzed 20 relevant records to identify uses, attributes, antecedents, and consequences.

Main Results:

• Identified five defining attributes: data-driven decision support, task automation, predictive capabilities, personalized care, and adaptability.
• Antecedents include technology availability, system integration, nursing acceptance, and data access.
• Consequences involve improved outcomes, efficiency, satisfaction, cost savings, and ethical challenges.

Conclusions:

• AI-assisted nursing care promises to improve quality and workflows but faces implementation challenges.
• Addressing technological, ethical, and systemic issues is vital for successful adoption.
• Future research should focus on empirical validation and equitable AI technology access.