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Assessing the Healthcare Providers’ Perception and Attitude toward the Integration of Artificial Intelligence Technology in Healthcare Settings

Submitted:

13 February 2026

Posted:

25 February 2026

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Abstract
Nowadays, the way that health organizations operate has changed dramatically because of technology. The recent rapid adoption of technology in healthcare has increased the need for healthcare providers and patients to use computer technology. So, the aim of the study is to assess healthcare providers’ perception and attitude toward using artificial intelligence technology in healthcare settings at Ministry of health hospitals in Jeddah. Design: The quantitative, descriptive, cross-sectional and correlational design was implemented. The non-probability Convenience sampling technique was used to recruit the studied sample from the healthcare providers working in the two general hospitals. The sample size was equal to 366. Two electronic self-administered questionnaires were utilized to collect data about the perception of artificial intelligence and attitudes questionnaires of healthcare providers. Results: The findings demonstrated that most participants perceived AI as a valuable tool for improving healthcare efficiency, decision-making accuracy, and patient safety. High agreement was reported for AI’s role in accelerating care processes, enhancing workflow efficiency, and supporting clinical judgment. Although perceptions were generally positive, most nurses demonstrated neutral attitudes toward AI applications. Conclusion: This finding concluded that the positive correlation between perception and attitude suggests that enhancing nurses’ knowledge and practical engagement with AI may gradually shift attitudes from neutrality toward informed acceptance. This finding recommended that nurse leaders and educators should play a central role in shaping AI implementation strategies to ensure alignment with patient safety, ethical practice, and professional autonomy. Establishing clear policies and involving nurses in AI design and evaluation may further enhance trust and adoption.
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Copyright: This open access article is published under a Creative Commons CC BY 4.0 license, which permit the free download, distribution, and reuse, provided that the author and preprint are cited in any reuse.
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