Artificial Intelligence-Based Research Applied to Clinical Nursing Practices in South Korea : A Scoping Review

Key Points

• This research aims to assess the current state of AI-based applications in clinical nursing practices in South Korea.
• Conducted a scoping review following the Arksey and O'Malley framework.
• Utilized search terms like 'artificial intelligence', 'machine learning', and 'nursing'.
• Searched literature across multiple databases, including RISS, KISS, NDSL, KCI, and e-article.
• Analyzed 13 selected studies focusing on AI implementations in nursing.
• Identified three main themes: biometric signal-based intervention systems, decision support from electronic medical record analysis, and improvement of nursing workplace environments.
• Reported positive outcomes including enhanced clinical decision-making, increased patient safety, and optimized nursing resource management.
• Underlined the need for interdisciplinary collaboration and systematic AI education for nurses in future studies.

Abstract