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논문검색

Bio and medical Information Technology (BIT)

Analysis of Artificial Intelligence Research Trends in Nursing

초록

영어

The purpose of this study was to analyze the trends of papers applying artificial intelligence to domestic nursing over the past 10 years to provide future nursing-related artificial intelligence program development and research direction. A literature review was conducted on 46 papers published in domestic journals from 2014 to June 2024. The analysis focused on research concept keywords and dependent variables. In order to examine the research concept keyword and distribution of dependent variables, frequency and percentage were used using an Excel program. The main research concept keyword was nursing education (19, 41.3%), and the main dependent variables were learning service satisfaction (6, 13.0%) and prediction accuracy (6, 13.0%) predicting the risk of falls and bedsores. Follow-up studies on the activation of case-based VR education in nursing education and the ethical issues of artificial intelligence are needed, and repeated followup studies are needed to increase the prediction accuracy of falls and bedsores in clinical practice.

목차

Abstract
1. Introduction
2. Research Method
2.1. Research Design
2.2. Research Subjects
2.3. Data Collection and Analysis Procedure
3. Research Results
3.1 General Characteristics of the Literature
3.2 Concept of Literature and Characteristics of Dependent Variables
4. Conclusions
References

저자정보

  • Jung Mi Hyun Master course student, College of Nursing, Konyang University
  • Kim Mi Ran Associate professor, College of Nursing, Konyang University

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