Nagwa Ibrahim Hamad , Ayman Mohamed El-Ashry , Ibrahim Mahmoud Ibrahim , Eman Arafa Hassan
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引用次数: 0
Abstract
Background
Artificial Intelligence (AI) transforms healthcare delivery, offering tools like clinical decision support and predictive analytics. The successful integration of AI in healthcare relies on the attitudes and perceptions of future healthcare providers, including nursing students.
Aim
Explore nursing students' attitudes and perceptions towards AI usability in healthcare and assess factors influencing that.
Methods
A descriptive design was utilized with 600 nursing students recruited through convenience sampling. Data were collected using the General Attitudes Towards Artificial Intelligence Scale and the Technology Acceptance Model questionnaire.
Results
Nursing students exhibited a significantly positive attitude towards using AI in health care (66.20 ± 7.38). This positive sentiment was further supported by the high mean score for perceived AI usability (46.40 ± 6.41), encompassing both usefulness (23.89 ± 4.15) and ease of use (22.52 ± 3.79).
Conclusion
Undergraduate nursing students have shown embracing attitudes and robust perceptions of AI usability. Student gender, prior AI training, and academic level were identified as significant positive predictors of attitudes and perceptions toward the usability of AI in healthcare.
期刊介绍:
Teaching and Learning in Nursing is the Official Journal of the National Organization of Associate Degree Nursing. The journal is dedicated to the advancement of Associate Degree Nursing education and practice, and promotes collaboration in charting the future of health care education and delivery. Topics include: - Managing Different Learning Styles - New Faculty Mentoring - Legal Issues - Research - Legislative Issues - Instructional Design Strategies - Leadership, Management Roles - Unique Funding for Programs and Faculty