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

Purpose
This study aimed to develop a discharge nursing service model (DNSM), including one that accounts for the role of discharge nurses and the discharge nursing process for heart failure patients (HFP) with a high readmission rate, and to verify its clinical feasibility.
Methods
As a methodological study, DNSM was established through a literature review and benchmarking, and the clinical feasibility of the expert group was confirmed through the Delphi technique.
Results
Through a literature review and the benchmarking, the DNSM for HFP was formulated. The nine core competencies are professional nursing practice, education, counseling, advice, ethical decision-making, research, collaboration, evidence-based practice, and leadership. In addition, fifteen criteria and 42 indicators were added as detailed items. The discharge process comprised five stages and 25 processes identified by analyzing and integrating the content of discharge nursing intervention required for HFP by period-from hospitalization to 30 days after discharge. Content validity was verified by the twofold application of the Delphi technique, and the average CVI was over 0.92.
Conclusion
In terms of quality management, developing an efficient system or service is necessary to prevent readmission, and developed DNSM should be continuously revisioned and reinforced through follow-up studies.

PURPOSE
This study was to construct a useful nursing language system on military nursing field.
METHOD
Military hospital nursing records were analyzed using NANDA(North American Nursing Diagnosis Association), NIC(Nursing Interventions Classification), and NOC(Nursing Outcomes Classification) systems. All kinds of nursing statements from 80 sets of orthopedics inpatient's records were deduced. All nursing statements were mapped to 167 NANDA diagnoses, 433 NIC interventions, and 260 NOC outcomes.
RESULT
14,744 nursing statements were extracted. Among the extracted nursing statements, 11.75% were linked with NANDA diagnosis, 83.62% were connected with NIC intervention, and 0.96% was tied to NOC outcome. 3.66% of nursing statements were not linked with NANDA-NIC-NOC system. In the nursing statements, 18 diagnoses of NANDA, 63 interventions of NIC, 8 outcomes of NOC were used.
CONCLUSIONS
The majority of those nursing statements focused on nursing intervention of the nursing process; few nursing plans or goals were found in nursing records. Therefore, it's difficult to make the nursing process network with the nursing statements. Documenting nursing records using a nursing process will contribute to strengthen nursing practice in patient care and to develop nursing as science. Continuous further researches related to nursing records are needed to provide basic data for developing nursing language system and nursing record system.

Citations

• Implementation of an Electronic Nursing Record for Nursing Documentation and Communication of Patient Care Information in a Tertiary Teaching Hospital
  Myeong-Seon Lee, Seonah Lee
  CIN: Computers, Informatics, Nursing.2021; 39(3): 136.     CrossRef
• Identification of Nursing Diagnosis–Outcome–Intervention Linkages for Inpatients in the Obstetrics Department Nursing Unit in South Korea
  Min Ji Yang, Hye Young Kim, Eun Ko, Hyun Kyung Kim
  International Journal of Nursing Knowledge.2019; 30(1): 12.     CrossRef
• Identification of Nursing Diagnosis-Outcome-Intervention Linkages for Inpatients in Gynecology Department Nursing Units
  Min Ji Yang, Hye Young Kim
  Korean Journal of Women Health Nursing.2016; 22(3): 170.     CrossRef
• Modeling job effectiveness in the context of coming out as a sexual minority: a socio-cognitive model
  Yuan-Hui Tsai, Sheng-Wuu Joe, Wei-Te Liu, Chieh-Peng Lin, Chou-Kang Chiu, Chiao-Chih Tang
  Review of Managerial Science.2015; 9(1): 197.     CrossRef
• Construction and Application of Nursing Information System Using NANDA-NOC-NIC Linkage in Medical-Surgical Nursing Units
  Eun Ko, Hyang-Sook So
  Korean Journal of Adult Nursing.2013; 25(4): 365.     CrossRef
• Factors Influencing the Drinking Behavior in Female University Students
  Hyun-Sook Ryu, Min-Ja Baek
  Journal of Korean Academy of Community Health Nursing.2012; 23(3): 307.     CrossRef
• Korean and United States: Comparison of Costs of Nursing Interventions
  Sung-Jung Hong, Eun-Joo Lee
  Korean Journal of Adult Nursing.2012; 24(4): 358.     CrossRef
• Analysis of Nursing Interventions Performed by Gynecological Nursing Unit Nurses Using the Nursing Interventions Classification
  Sung-Jung Hong, Sung Hee Lee, Hwa Sun Kim
  Korean Journal of Women Health Nursing.2011; 17(3): 275.     CrossRef