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Accepted for/Published in: JMIR Nursing

Date Submitted: Jan 23, 2025
Date Accepted: May 22, 2025

The final, peer-reviewed published version of this preprint can be found here:

Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

AL-Oliamat K, salameh b, Abdulhalim Alqadi R, Alruwaili A, Hakami M, Alanazi H, Ali Maharem T, Abdelkader Reshia FAAR

Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

JMIR Nursing 2025;8:e71653

DOI: 10.2196/71653

PMID: 40737490

PMCID: 12309859

Readiness and Acceptance of Nursing Students Regarding Artificial Intelligence -based healthcare technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

  • Kamlah AL-Oliamat; 
  • basma salameh; 
  • Rasha Abdulhalim Alqadi; 
  • Abeer Alruwaili; 
  • Manal Hakami; 
  • Hanay Alanazi; 
  • Tahani Ali Maharem; 
  • Fadia Ahmed Abdelkader Reshia Abdelkader Reshia

ABSTRACT

Background:

The rapid advancements in artificial intelligence (AI) technologies across various sectors, including healthcare, necessitate a comprehensive understanding of their applications. Specifically, the acceptance and readiness of nursing students’ future healthcare professionals to adopt AI-based healthcare technologies, as well as the factors influencing these attitudes, are critical for facilitating the integration of AI in healthcare settings

Objective:

to assess the readiness and acceptance of nursing students regarding the use of Artificial Intelligence -based healthcare technology in the training of nursing skills in Saudi Arabia.

Methods:

A descriptive cross-sectional research design was conducted for the study, using a convenience sampling technique applied to 322 participants. Data was collected from June to September 2023 using a self-administered questionnaire, which included the Technology Readiness Index and the Technology Acceptance scale.

Results:

Approximately 92.2 % and 74.8% of the participant exhibited positive thinking and Innovativeness and have a positive perception towards utilizing AI. However, more than half of the participants (59 % and 59.3 %) reported feelings of distress and showed a negative perception towards AI. Additionally, 69.6%) of the participants demonstrated direct techno-readiness (TRI), while 30.4% exhibited higher TRI. On other hand, the majority of students (99.4%) reported overall acceptance of using technology, with only 06% reporting no acceptance.

Conclusions:

The evaluations of the nursing students revealed positive readiness and acceptance regarding the use of Artificial Intelligence -based healthcare technology in education and training. Intervention programs and related initiatives need to be created to offer education and information to reduce anxiety and promote a positive mindset toward AI-driven health technologies.


 Citation

Please cite as:

AL-Oliamat K, salameh b, Abdulhalim Alqadi R, Alruwaili A, Hakami M, Alanazi H, Ali Maharem T, Abdelkader Reshia FAAR

Readiness and Acceptance of Nursing Students Regarding AI-Based Health Care Technology on the Training of Nursing Skills in Saudi Arabia: Cross-Sectional Study

JMIR Nursing 2025;8:e71653

DOI: 10.2196/71653

PMID: 40737490

PMCID: 12309859

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© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.