Purpose
Based on a literature review of artificial intelligence (AI) applications within nursing tasks, this study delves into the feasibility of employing AI to improve nursing practice in Korea.
Methods
We used "nursing" and "artificial intelligence" as keywords to search academic databases, resulting in 96 relevant studies from an initial pool of 940. After a detailed review, 35 studies were selected for analysis based on nursing process stages.
Results
AI improves nursing assessment by enhancing pain diagnosis, fall detection, and movement monitoring in older adults. It aids nursing diagnosis through clinical decision support, risk prediction, and emergency patient triage. Further, it expedites the creation of precise plans utilizing predictive models in nursing planning. AI also forecasts medication errors and reduces the nursing documentation burden for nursing implementation. Additionally, it manages (re)hospitalization risks by assessing patient risk and prognoses in nursing evaluation.
Conclusion
AI in Korean nursing can enhance assessment and diagnosis accuracy, promote a prevention-focused paradigm through risk prediction, and ease the burden of nursing practice amidst human resource shortages.

Citations

• Concept Analysis of Social Intelligence of Nurses Using Hybrid Model
  Kyung Ran Lee, Na Kyoung Lee, Hee Oh, Kyoung Ae Park
  Journal of Korean Academy of Nursing.2024; 54(3): 459.     CrossRef
• Why nursing cannot be replaced with artificial intelligence
  Hae-Kyung Jo
  Women's Health Nursing.2024; 30(4): 340.     CrossRef