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Artificial intelligence (AI) enhances nursing by improving clinical decisions and patient outcomes. This technology acts as a valuable partner in healthcare, optimizing operational efficiencies through advanced data management and task automation.

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Area of Science:

  • Nursing Informatics
  • Artificial Intelligence in Healthcare
  • Clinical Decision Support Systems

Background:

  • Nursing practice faces challenges in managing complex data and optimizing workflows.
  • Integrating advanced technologies is crucial for improving patient care and operational efficiency.
  • The Data, Information, Knowledge, Wisdom (DIKW) framework provides a model for understanding AI's role in healthcare.

Purpose of the Study:

  • To explore the multifaceted role of artificial intelligence (AI) in contemporary nursing.
  • To examine AI's application in clinical decision-making, data management, and task automation.
  • To discuss the implications of AI integration within the DIKW framework for nursing practice.

Main Methods:

  • Literature review of AI applications in nursing.
  • Analysis of AI's impact on the DIKW hierarchy within healthcare settings.
  • Discussion of challenges and future directions for AI in nursing.

Main Results:

  • AI significantly enhances clinical decision support, leading to improved patient outcomes.
  • AI streamlines data management processes, facilitating better information utilization.
  • Task automation through AI improves operational efficiencies and reduces nursing workload.

Conclusions:

  • Artificial intelligence serves as a transformative tool in nursing, enhancing decision-making and efficiency.
  • Addressing data quality and ethical considerations is paramount for successful AI implementation.
  • Continuous improvement and strategic integration position AI as an indispensable partner in healthcare.