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Helwan International Journal for Nursing Research and Practice
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Elsawy, H. (2024). The Relationship between Nurse Well-being and Artificial Intelligence. Helwan International Journal for Nursing Research and Practice, 3(5), 86-105. doi: 10.21608/hijnrp.2024.264838.1116
Hend mahmoud Elsawy. "The Relationship between Nurse Well-being and Artificial Intelligence". Helwan International Journal for Nursing Research and Practice, 3, 5, 2024, 86-105. doi: 10.21608/hijnrp.2024.264838.1116
Elsawy, H. (2024). 'The Relationship between Nurse Well-being and Artificial Intelligence', Helwan International Journal for Nursing Research and Practice, 3(5), pp. 86-105. doi: 10.21608/hijnrp.2024.264838.1116
Elsawy, H. The Relationship between Nurse Well-being and Artificial Intelligence. Helwan International Journal for Nursing Research and Practice, 2024; 3(5): 86-105. doi: 10.21608/hijnrp.2024.264838.1116

The Relationship between Nurse Well-being and Artificial Intelligence

Article 22, Volume 3, Issue 5, March 2024, Page 86-105  XML PDF (1.02 MB)
Document Type: Scientific Research Periodical
DOI: 10.21608/hijnrp.2024.264838.1116
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Author
Hend mahmoud Elsawy email
nursing administration helwan university
Abstract
Abstract
Background: The paper focuses on the impact of artificial intelligence (AI) on nurse wellbeing as addressing definition and recent advancements in AI, potential benefits, barriers, and ethical considerations. It emphasizes the importance of integrating AI in increase satisfaction and decrease work distress and burnout as well as physical and psychological wellbeing in healthcare while considering the ethical implications and impact on nurses' work. Aim: This study aimed to assess nurse well-being and artificial intelligence. Design: A descriptive research design was utilized to conduct this study. Setting: The study was conducted in Dar El Shefa hospital. Subject: Consisted of a convenience sample (100) of nurses. Data collection: Two tools were used to collect data; (1) Wellbeing index questionnaire, (2) Artificial intelligence Assessment by using Unified Theory of Acceptance and Use of Technology (UTAUT) Questionnaire. Results: Showed that about half of the studied nurse have a moderate level of total wellbeing, Additionally, about three-quarters of the studied nurse have a low level of artificial intelligence. Conclusion: There was a highly statistically significant positive strong correlation between total score of wellbeing and total score of artificial intelligence among the studied nurses. Recommendations: This study recommended in Implement strategy for maintain positive psychology, attend workshop training programs for enhance their psychological wellbeing and perform awareness sessions for using AI in nursing practice.
Keywords
physical wellbeing; psychological wellbeing; Artificial intelligence
Main Subjects
Nursing Administration.
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