Artificial Intelligence in Nursing Research: A Systematic Review of Applications, Benefits, and Challenges

IF 3.7 3区医学 Q1 NURSING

International Nursing Review Pub Date : 2025-07-26 DOI:10.1111/inr.70080

Suebsarn Ruksakulpiwat, Lalipat Phianhasin, Chitchanok Benjasirisan, Tingyu Su, Chontira Riangkam, Sutthinee Thorngthip, Heba M. Aldossary, Bootan Ahmed, Kewalin Pongsuwun, Nopasit Angkaew

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引用次数: 0

Abstract

Background

Artificial intelligence (AI) is reshaping healthcare, yet its role in nursing research remains underexplored. Clarifying its applications, benefits, and challenges is essential to advancing nursing science in the digital era.

Objective

To synthesize published evidence, including empirical studies and expert perspectives on the applications, benefits, and challenges of AI in nursing research.

Methods

This systematic review followed PRISMA guidelines. A comprehensive search was conducted across five databases, including PubMed, Medline, Scopus, ScienceDirect, and ProQuest, for studies published between January 2015 and May 2025. Eligible articles included empirical studies that examined AI use in nursing research or were conducted by nurses. Methodological quality was assessed using the Joanna Briggs Institute (JBI) critical appraisal tools. Data were synthesized using JBI's convergent integrated approach.

Results

Fifteen studies were included in the review. Three overarching themes emerged: (1) applications of AI in nursing research; (2) challenges of AI implementation, ethical risks, and bias; and (3) benefits of AI. The AI techniques reported were diverse and included natural language processing and classical machine learning methods. Overall, methodological quality of the studies was high.

Conclusion

AI offers transformative opportunities for nursing research. However, ethical implementation requires methodological rigor, active nurse involvement, and attention to sociotechnical risks.

Implications for Nursing Policy

Policies should promote nurse engagement in AI development, support AI literacy in education, and ensure ethical, equitable integration of AI into nursing research.

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人工智能在护理研究中的应用、益处和挑战的系统回顾

人工智能（AI）正在重塑医疗保健，但其在护理研究中的作用仍未得到充分探索。阐明其应用、益处和挑战对于在数字时代推进护理科学至关重要。目的综合人工智能在护理研究中的应用、益处和挑战的实证研究和专家观点。方法本系统综述遵循PRISMA指南。我们对PubMed、Medline、Scopus、ScienceDirect和ProQuest等5个数据库进行了全面的检索，检索了2015年1月至2025年5月间发表的研究。符合条件的文章包括检验人工智能在护理研究中的应用或由护士进行的实证研究。使用乔安娜布里格斯研究所（JBI）关键评估工具评估方法学质量。采用JBI的收敛集成方法对数据进行综合。结果共纳入15项研究。出现了三个主要主题：(1)人工智能在护理研究中的应用；(2)人工智能实施的挑战、伦理风险和偏见；(3)人工智能的好处。报告的人工智能技术多种多样，包括自然语言处理和经典机器学习方法。总的来说，这些研究的方法学质量很高。结论人工智能为护理研究提供了变革机遇。然而，伦理的实施需要严谨的方法、护士的积极参与和对社会技术风险的关注。政策应促进护士参与人工智能开发，支持教育中的人工智能素养，并确保将人工智能道德、公平地纳入护理研究。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

International Nursing Review 医学-护理

CiteScore

7.90

自引率

7.30%

发文量

审稿时长

6-12 weeks

期刊介绍： International Nursing Review is a key resource for nurses world-wide. Articles are encouraged that reflect the ICN"s five key values: flexibility, inclusiveness, partnership, achievement and visionary leadership. Authors are encouraged to identify the relevance of local issues for the global community and to describe their work and to document their experience.