Ethical boundaries and data-sharing practices in AI-enhanced nursing: An Arab perspective

IF 3.8 3区医学 Q1 NURSING

International Nursing Review Pub Date : 2025-03-12 DOI:10.1111/inr.70013

Walaa Badawy , Mohamed M. I. Helal , Amal Hashim , Haithm Zinhom PhD, Mostafa Shaban PhD

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引用次数: 0

Abstract

Aim

This study explored the ethical boundaries and data-sharing practices in artificial intelligence (AI)-enhanced nursing from the perspective of Arab nurses.

Background

Although AI offers advancements in clinical decision-making and operational efficiency, it also presents challenges such as ethical dilemmas, data privacy concerns, and technical issues. These challenges are being addressed through continuous education, the development of robust ethical guidelines, and the implementation of transparent data-sharing practices

Methods

A qualitative approach was employed, adhering to the Standards for Reporting Qualitative Research (SRQR) guidelines. Fourteen registered nurses from healthcare facilities in Abha City, Saudi Arabia, were selected through purposive sampling. Data were collected through semistructured interviews, observational data and document analysis. Thematic analysis was used to analyze the data.

Results

Nurses reported that AI technologies enhance clinical decision-making and efficiency by automating routine tasks. However, they also highlighted ethical challenges, including conflicts between AI recommendations and patient preferences, the need for continuous training, and resource constraints. The importance of maintaining human interaction and empathy in nursing practice was emphasized.

Discussion

The findings align with existing literature on the benefits and challenges of AI in nursing. Ethical dilemmas, particularly related to data privacy and informed consent, require careful management. Continuous education and adequate resources are essential for successful AI integration.

Conclusion

AI in nursing not only offers significant benefits but also presents ethical and practical challenges. Clear ethical guidelines, continuous education, and adequate resources are crucial for optimizing AI integration.

Implications for nursing

AI can enhance clinical decision-making and efficiency, allowing nurses to focus on patient interaction and critical thinking.

Implications for health policy

Develop robust ethical frameworks and data protection regulations. Implement continuous professional development programs and ensure adequate resources for AI integration in healthcare.

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目的本研究从阿拉伯护士的角度探讨了人工智能（AI）增强护理的伦理界限和数据共享实践。背景虽然人工智能在临床决策和操作效率方面取得了进步，但它也带来了挑战，如伦理困境、数据隐私问题和技术问题。目前正在通过持续教育、制定健全的伦理准则以及实施透明的数据共享实践来应对这些挑战方法采用定性方法，遵守定性研究报告标准（SRQR）准则。通过有目的的抽样，从沙特阿拉伯阿巴市的医疗机构中选出了 14 名注册护士。通过半结构式访谈、观察数据和文件分析收集数据。数据分析采用主题分析法。结果护士们报告说，人工智能技术通过将常规任务自动化，提高了临床决策和效率。但是，她们也强调了伦理方面的挑战，包括人工智能建议与患者偏好之间的冲突、持续培训的必要性以及资源限制。他们强调了在护理实践中保持人际互动和同理心的重要性。讨论研究结果与现有文献中关于人工智能在护理工作中的益处和挑战的论述一致。伦理困境，尤其是与数据隐私和知情同意相关的伦理困境，需要谨慎处理。持续的教育和充足的资源对于成功整合人工智能至关重要。结论人工智能在护理领域的应用不仅能带来巨大的益处，也会带来伦理和实际挑战。明确的伦理准则、持续的教育和充足的资源对于优化人工智能整合至关重要。对护理工作的启示人工智能可以提高临床决策和效率，让护士专注于与患者的互动和批判性思维。对卫生政策的影响制定健全的伦理框架和数据保护法规。实施持续的职业发展计划，确保为人工智能融入医疗保健提供充足的资源。

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.