Content area

Abstract

Aim

The aim of this study is to examine the preparedness levels of nursing students for Medical Artificial Intelligence and Artificial Intelligence Anxiety.

Design

This is a descriptive mixed-method study.

Methods

The medical artificial intelligence readiness scale, artificial intelligence anxiety scale and semi-structured interview form were applied to the nursing department students of two separate faculties (n:358). The focus group interview was conducted with 19 participants. Quantitative and qualitative data were analyzed separately and combined.

Results

The average artificial intelligence awareness score of all the participants participating in the study was 75.05 ± 11,805, and the average artificial intelligence anxiety score was 49.59 ± 11,263. The average artificial intelligence awareness score of the participants in the qualitative part of the study was 72.89 ± 10.519 and the average artificial intelligence anxiety score was 70.68 ± 5.165. 145 opinions were identified regarding the concerns of individuals with artificial intelligence anxiety. These opinions are grouped under four sub-themes; Two sub-themes were evaluated as "complementary" and the other two as "convergent" with quantitative data. Sequential explanatory design was used in the study. After the quantitative data were evaluated, qualitative data were collected, evaluated and the results were integrated.

Conclusion

It was determined that the students were ready for artificial intelligence; they believed that artificial intelligence increases productivity and acts as a facilitator; but they also had various concerns about artificial intelligence. Qualitative and quantitative data supported each other.

Patient or public contribution

Increasing the awareness of nursing students and nurses on artificial intelligence can contribute to public health.

Clinical trial registration

NCT06623448.

Details

Title
Nursing students' readiness and anxiety regarding medical artificial intelligence: A mixed-methods study
Author
Burucu, Rukiye 1   VIAFID ORCID Logo  ; Türkben Polat, Hilal 2   VIAFID ORCID Logo 

 Necmettin Erbakan University, Seydişehir Kamil Akkanat Faculty of Health Sciences, Medical Diseases Nursing Division, Konya, Turkey 
 Necmettin Erbakan University, Seydişehir Kamil Akkanat Faculty of Health Sciences, Department of Fundamentals of Nursing, Konya, Turkey 
First page
104538
End page
104538
Publication year
2025
Publication date
Oct 2025
Publisher
Elsevier Limited
ISSN
14715953
e-ISSN
18735223
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
3270292437
Copyright
© 2025 Elsevier Ltd