The content analysis used in nursing research and the possibility of including artificial intelligence support: A methodological review

IF 2.7 4区 医学 Q1 NURSING Applied Nursing Research Pub Date : 2025-02-04 DOI:10.1016/j.apnr.2025.151919
Agnieszka Maj , Marta Makowska , Katarzyna Sacharczuk
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引用次数: 0

Abstract

Background

This article explores how AI supports nurses by employing content analysis for scientific nursing research.

Methods

A narrative literature review was conducted.

Results

The article summarizes the knowledge known about content analysis and outlines qualitative and quantitative content analysis concepts and simplifies the issues related to the coding process. It explains how to identify and assess quality during content analysis and gives examples of topics that can be investigated using it, especially in the field of nursing.

Conclusions

Knowledge of AI capabilities is needed to make positive use of it. These capabilities change very quickly and require constant knowledge updates. Legal and ethical regulations concerning the use of technology are still lacking, so AI outputs still require human verification of them.
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来源期刊
Applied Nursing Research
Applied Nursing Research 医学-护理
CiteScore
4.50
自引率
0.00%
发文量
65
审稿时长
70 days
期刊介绍: Applied Nursing Research presents original, peer-reviewed research findings clearly and directly for clinical applications in all nursing specialties. Regular features include "Ask the Experts," research briefs, clinical methods, book reviews, news and announcements, and an editorial section. Applied Nursing Research covers such areas as pain management, patient education, discharge planning, nursing diagnosis, job stress in nursing, nursing influence on length of hospital stay, and nurse/physician collaboration.
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