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

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Artificial Intelligence (AI) in nursing enhances care through data-driven support and task automation. Clarifying AI-assisted nursing care is crucial for its effective integration and future research.

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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.