在护理中使用人工智能和机器学习的伦理和监管考虑:系统回顾

IF 3.7 3区 医学 Q1 NURSING
Sobhia Ahmed Abdel Qader Mohammed  , Yasmine Mahmoud Moussa Osman PhD, Ateya Megahed Ibrahim PhD, Mostafa Shaban PhD
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引用次数: 0

摘要

本研究系统地探讨了人工智能(AI)和机器学习(ML)在护理实践中的整合所涉及的伦理和监管问题,重点是患者自主、数据隐私、算法偏见和问责制。人工智能和机器学习正在通过提高临床决策和操作效率来改变护理实践。然而,这些技术在确保患者自主权、保护数据隐私、减轻算法偏见和确保决策过程的透明度方面提出了重大的伦理挑战。目前的框架没有充分适应护理的具体情况。方法按照PRISMA指南进行系统评价。2000年至2024年间发表的研究在六个主要数据库中进行了检索。17项研究符合纳入标准,并被纳入最终分析。结果:回顾中出现了五个关键主题:加强临床决策,促进伦理意识,支持常规护理任务,算法偏见的挑战,以及公众参与监管框架的重要性。审查确定了护理特定伦理准则和人工智能整合实践的监管监督方面的关键差距。人工智能技术为护理提供了实质性的好处,特别是在决策和任务效率方面。然而,这些优势必须与伦理问题相平衡,包括保护患者权利、算法透明度和减少偏见。目前的监管框架需要调整,以满足护理的道德需求。结论及其对护理和卫生政策的影响研究结果强调,需要制定针对护理的道德准则和强有力的监管框架,以确保将人工智能技术负责任地纳入护理实践。人工智能整合必须坚持道德原则,同时提高护理质量。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Ethical and regulatory considerations in the use of AI and machine learning in nursing: A systematic review

Aim

This study systematically explores the ethical and regulatory considerations surrounding the integration of artificial intelligence (AI) and machine learning (ML) in nursing practice, with a focus on patient autonomy, data privacy, algorithmic bias, and accountability.

Background

AI and ML are transforming nursing practice by enhancing clinical decision-making and operational efficiency. However, these technologies present significant ethical challenges related to ensuring patient autonomy, safeguarding data privacy, mitigating algorithmic bias, and ensuring transparency in decision-making processes. Current frameworks are not sufficiently tailored to nursing-specific contexts.

Methods

A systematic review was conducted, adhering to PRISMA guidelines. Six major databases were searched for studies published between 2000 and 2024. Seventeen studies met the inclusion criteria and were included in the final analysis.

Results

Five key themes emerged from the review: enhancement of clinical decision-making, promotion of ethical awareness, support for routine nursing tasks, challenges in algorithmic bias, and the importance of public engagement in regulatory frameworks. The review identified critical gaps in nursing-specific ethical guidelines and regulatory oversight for AI integration in practice.

Discussion

AI technologies offer substantial benefits for nursing, particularly in decision-making and task efficiency. However, these advantages must be balanced against ethical concerns, including the protection of patient rights, algorithmic transparency, and bias mitigation. Current regulatory frameworks require adaptation to meet the ethical needs of nursing.

Conclusion and implications for nursing and health policy

The findings emphasize the need for the development of nursing-specific ethical guidelines and robust regulatory frameworks to ensure the responsible integration of AI technologies into nursing practice. AI integration must uphold ethical principles while enhancing the quality of care.

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来源期刊
CiteScore
7.90
自引率
7.30%
发文量
72
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.
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