Journal of Korean Academy of Nursing

Research trends in generative artificial intelligence in nursing: a scoping review: Myung Jin Choi, Myoung Hee Seo, Jihun Kim, Sunmi Kim, Seok Hee Jeong; J Korean Acad Nurs 2025;55(3):468-487. Published online August 5, 2025; DOI: https://doi.org/10.4040/jkan.25006

Purpose
Generative artificial intelligence (AI) has yet to be comprehensively analyzed in the nursing literature. This study aimed to identify research trends in generative AI within the nursing field through a scoping review and propose strategies for its effective utilization in nursing.
Methods
A scoping review was conducted following Arksey and O’Malley’s six-stage framework. The inclusion criteria included: (1) studies conducted in nursing; (2) research related to generative AI; and (3) original research articles, theses, communications, editorials, letters, or commentaries published in academic journals. Database used PubMed, Embase, CENTRAL, CINAHL, KMbase, KoreaMed, KISS, ScienceON, RISS, DBpia, and 27 nursing-specific journals.
Results
In total, 403 studies were initially identified, and 58 were included in the final analysis. In the care domain, strengths included rapid information retrieval and improved nurse-patient communication, while limitations included the irreplaceable human element and low reliability. The administration domain had no relevant studies. In the research domain, generative AI exhibited strengths such as enhanced efficiency in the paper writing process and improved dissemination speed, but its weaknesses included lack of ethical and legal accountability and a risk of inaccurate or biased information. In the education domain, generative AI was effective in saving time in educational design and implementation, as well as supporting content creation, but challenges included algorithmic bias and risks of plagiarism.
Conclusion
This study identified potential benefits and limitations of generative AI across nursing domains. For effective application, it is essential to develop comprehensive guidelines and policies, provide user education and support, and create opportunities for nurses, educators, and students to learn about strengths and risks of generative AI.

Citations

Citations to this article as recorded by

Nursing Students' Perspectives on the Use of Artificial Intelligence in Psychiatric Nursing Education: A Qualitative Meta-Synthesis
Sukyung Son, Eunyoung Park
Journal of Korean Academy of psychiatric and Mental Health Nursing.2025; 34(Special Is): 9. CrossRef

6,929 View
506 Download
1 Crossref

Factors Related to Emotional Leadership in Nurses Manager: Systematic Review and Meta-Analysis: Se Young Jang, Chan Mi Park, Eun Hee Yang; J Korean Acad Nurs 2024;54(2):119-138. Published online May 31, 2024; DOI: https://doi.org/10.4040/jkan.24026

Abstract PDF

Purpose
This study aimed to identify research trends related to emotional leadership among nurse managers by conducting a systematic literature review and meta-analysis. This study sought to derive insights that could contribute to improving emotional leadership in nursing practice.
Methods
A systematic review and meta-analysis were conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analysis (PRISMA) and Meta-Analysis Of Observational Studies in Epidemiology (MOOSE) guidelines. Databases including PubMed, Cumulative Index to Nursing and Allied Health Literature, Scopus, Web of Science, Research Information Sharing Service, Koreanstudies Information Service System, Korean Medical Database, KoreaMed, ScienceON, and DBpia were searched to obtain papers published in English and Korean. Literature searches and screenings were conducted for the period December 1, 2023 to December 17, 2023. The effect size correlation (ESr) was calculated for each variable and the meta-analysis was performed using the statistical software SPSS 29.0, R 4.3.1.
Results
Twenty-five (four personal, six job, and fifteen organizational) relevant variables were identified through the systematic review. The results of the meta-analysis showed that the total overall effect size was ESr = .33. Job satisfaction (ESr = .40) and leader-member exchange (ESr = .75) had the largest effect size among the job and organizational-related factors.
Conclusion
Emotional leadership helps promote positive changes within organizations, improves organizational effectiveness, and increases member engagement and satisfaction. Therefore, it is considered an important strategic factor in improving organizational performance.

Citations

Citations to this article as recorded by

Emotional leadership in health care: A dire need illuminated by pivotal resource cuts
Jacqueline Hoare
South African Journal of Science.2025;[Epub] CrossRef

3,723 View
193 Download
1 Web of Science
1 Crossref

Descriptive Review of Patents in Healthcare and Nursing: Based on Network Analysis: Misun Jeon, Nayung Youn, Sanghee Kim; J Korean Acad Nurs 2024;54(1):1-17. Published online February 29, 2024; DOI: https://doi.org/10.4040/jkan.23064

Abstract PDF: Purpose
The significance of the healthcare industry has grown exponentially in recent years due to the impact of the fourth industrial revolution and the ongoing pandemic. Accordingly, this study aimed to examine domestic healthcare-related patents comprehensively. Big data analysis was used to present the trend and status of patents filed in nursing.
Methods
The descriptive review was conducted based on Grant and Booth’s descriptive review framework. Patents related to nursing was searched in the Korea Intellectual Property Rights Information Service between January 2016 to December 2020. Data analysis included descriptive statistics, phi-coefficient for correlations, and network analysis using the R program (version 4.2.2).
Results
Among 37,824 patents initially searched, 1,574 were selected based on the inclusion criteria. Nursing-related patents did not specify subjects, and many patents (41.4%) were related to treatment in the healthcare delivery phase. Furthermore, most patents (56.1%) were designed to increase effectiveness. The words frequently used in the titles of nursing-related patents were, in order, “artificial intelligence,” “health management,” and “medical information,” and the main terms with high connection centrality were “artificial intelligence” and “therapeutic system.” Conclusion: The industrialization of nursing is the best solution for developing the healthcare industry and national health promotion. Collaborations in education, research, and policy will help the nursing industry become a healthcare industry of the future. This will prime the enhancement of the national economy and public health.

2,331 View
83 Download

Analysis of Research Topics and Trends in the Journal of Korean Academy of Nursing to Improve Its International Influence: Soyoung Yu, Jeung-Im Kim, Jin-Hee Park, Sun Joo Jang, Eunyoung E. Suh, Ju-Eun Song, YeoJin Im; J Korean Acad Nurs 2020;50(4):501-512. Published online August 31, 2020; DOI: https://doi.org/10.4040/jkan.20167

Abstract PDF

Purpose
The purpose of this study was to analyze articles published in the Journal of the Korean Academy of Nursing (JKAN) between 2010 and 2019, along with those published in three international nursing journals, to improve JKAN’s international reputation.
Methods
The overall characteristics of JKAN’s published papers and keywords, study participants, types of nursing interventions and dependent variables, citations, and cited journals were analyzed. Additionally, the keywords and study designs, publication-related characteristics, journal impact factors (JIF), and Eigenfactor scores of International Journal of Nursing Studies (IJNS), International Nursing Review (INR), Nursing & Health Sciences (NHS), and JKAN were analyzed and compared.
Results
Among the four journals, JKAN’s score was the lowest in both the journal impact factor and Eigenfactor score. In particular, while the JIF of INR and NHS has been continuously increasing; JKAN’s JIF has remained static for almost 10 years. The journals which had cited JKAN and those which JKAN had cited were mainly published in Korean.
Conclusion
JKAN still has a low IF and a low ranking among Social Citation Index (E) journals during the past 10 years, as compared to that of four international journals. To enhance JKAN’s status as an international journal, it is necessary to consider publishing it in English and to continuously improve the conditions of other publications.

Citations

Citations to this article as recorded by

Ten-year trends in research designs and keywords: a bibliometric comparison of the Journal of Korean Academy of Nursing and leading international nursing journals
Jin-Hee Park, Hyun Kyoung Kim, Gaeun Kim, Sun Hyoung Bae
Journal of Korean Academy of Nursing.2025; 55(4): 557. CrossRef
Commemorating the 50th Anniversary of Korean Society of Nursing Science and Contemplating Direction to Move Forward
Kyung-Sook Cho
Journal of Korean Academy of Nursing.2020; 50(5): 641. CrossRef

2,420 View
28 Download
2 Web of Science
2 Crossref

Search