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

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 ethic...

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Vydáno v:International nursing review Ročník 72; číslo 1; s. e70013 - n/a
Hlavní autoři: Badawy, Walaa, Helal, Mohamed M. I., Hashim, Amal, Zinhom, Haithm, Shaban, Mostafa
Médium: Journal Article
Jazyk:angličtina
Vydáno: England 01.03.2025
Témata:
academic subject
Adult
advanced practice
Arabs - psychology
Artificial Intelligence - ethics
clinical decision‐making
ethics
Ethics, Nursing
Female
health policy
Humans
Information Dissemination - ethics
information technology
Male
Middle Aged
nursing
policy
qualitative descriptive
Qualitative Research
Saudi Arabia
Saudi Arabia
academic subject
qualitative descriptive
health policy
information technology
clinical decision‐making
nursing
advanced practice
ethics
research
policy
ISSN:0020-8132, 1466-7657, 1466-7657
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Shrnutí: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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ISSN:0020-8132
1466-7657
1466-7657
DOI:10.1111/inr.70013