Ethical and Practical Considerations of Physicians and Nurses on Integrating Artificial Intelligence in Clinical Practices in Saudi Arabia: A Cross-Sectional Study
Year: 2025
Type: article
Study design: Observational Study
Abstract: Background/Objectives: The emergence of artificial intelligence (AI) has revolutionized the healthcare industry. However, its integration into clinical practices raises ethical and practical concerns. This study aims to explore ethical and practical considerations perceived by physicians and nurses in Saudi Arabia. Methods: It employed a cross-sectional design with 400 physicians and nurses using a pre-established online questionnaire. Descriptive data were analyzed through means and standard deviations, while inferential statistics were done using the independent samples t-test. Results: The majority of participants were male (57%) and physicians (73.8%), with most employed in governmental organizations (87%). Key findings revealed significant concerns: participants perceived a lack of skills to effectively utilize AI in clinical practice (mean = 4.04) and security risks such as AI manipulation or hacking (mean = 3.83). The most pressing ethical challenges included AI’s potential incompatibility with all populations and cultural norms (mean = 3.90) and uncertainty regarding responsibility for AI-related errors (mean = 3.84). Conclusion: These findings highlight substantial barriers that hinder the effective integration of AI in clinical practices in Saudi Arabia. Addressing these challenges requires leadership support, specific training initiatives, and developing practical strategies tailored to the local context. Future research should include other healthcare professionals and qualitatively explore further underlying factors influencing AI adoption.
Source: Nursing Reports
Authors: Abdulaziz Rashed Rashed Alsaedi, Maisam Elfaki Haddad, Roaa M. Khinkar, Sumayyah Mohammed Alsharif, Anhar Abdelwahab Elbashir, Ahlam Ali Alghamdi
Language: English
Subfield: Health Informatics
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $2,172
OpenAlex ID: W4413535603
