Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study
- PMID: 40677516
- PMCID: PMC12268143
- DOI: 10.1177/20552076251360924
Perceptions, barriers, and risk of artificial intelligence Among healthcare professionals: A cross-sectional study
Abstract
Purpose: This study found that healthcare professionals expressed diverse opinions regarding the integration of AI in the Jordanian healthcare sector. This study aimed to explore healthcare professionals' perceptions of artificial intelligence (AI) and how these perceptions relate to perceived barriers and potential risks associated with AI integration in clinical practice in Jordan.
Materials and methods: A cross-sectional survey of 605 healthcare professionals who were conveniently selected from four types of hospitals, namely private, teaching-affiliated, Royal Medical Service, and public in Amman city and the northern regions of Jordan.
Results: About half of the respondents were female (50.7%), holding a bachelor's degree (60.5%) and having 1-5 years of experience (33.1%), working in the Ministry of Health (47.4%). This study found that healthcare professionals hold optimistic perceptions of AI integration in the Jordanian healthcare sector. There is a moderate level of perceived barriers and a perceived level of risks associated with AI incorporation into the healthcare sector.
Conclusion: This study highlights the need for more transparent policies, better communication, and more robust frameworks for AI implementation in healthcare.
Keywords: AI; Jordan; barriers; healthcare professional; perceptions; risks.
© The Author(s) 2025.
Conflict of interest statement
The authors declared no potential conflicts of interest with respect to the research, authorship, and/or publication of this article.
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