Exploring the Applicability of Artificial Intelligence for the Improvement of Nursing Practice in Korea.
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, res...
| Publicado en: | Journal of Korean Academy of Nursing Administration Vol. 29; no. 5; pp. 564 - 577 |
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| Autores principales: | , , , , |
| Formato: | review tables/charts Journal Article |
| Publicado: |
Korean Academy of Nursing Administration
Dec2023
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=174444942&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 174444942 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 12259330 DAEH jtl: Journal of Korean Academy of Nursing Administration issn: 12259330 maglogo: N pubinfo: dt: Dec2023 vid: 29 iid: 5 pid: 72190 pub: Korean Academy of Nursing Administration artinfo: ui: 174444942 174444942 174444942 10.11111/jkana.2023.29.5.564 174444942 ppf: 564 ppct: 13 formats: fmt: @attributes: type: P tig: atl: Exploring the Applicability of Artificial Intelligence for the Improvement of Nursing Practice in Korea. aug: au: Lee Hanbit Moon Woojong Kim Sla Lee Jinhee Zhang Yuzhu affil: Graduate Student, College of Nursing, Hanyang University sug: subj: Nursing Practice South Korea Quality Improvement Artificial Intelligence Utilization South Korea Pain Diagnosis Accidental Falls Risk Factors Risk Assessment Movement Monitoring, Physiologic Decision Support Systems, Clinical Emergency Patients Triage Prediction Models Nursing Models, Theoretical Medication Errors Risk Factors Forecasting Documentation Nursing Process ab: 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. pubtype: Academic Journal doctype: review tables/charts Journal Article ougenre: Article language: Korean refInfo: holdings: @attributes: islocal: N |
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