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Nursing students' readiness and anxiety regarding medical artificial intelligence: A mixed-methods study

Gorde:
Argitaratua izan da:Nurse Education in Practice vol. 88 (Oct 2025), p. 104538-104547
Egile nagusia: Burucu, Rukiye
Beste egile batzuk: Türkben Polat, Hilal
Argitaratua:
Elsevier Limited
Gaiak:
Quantitative analysis
Students
Public health
Nurses
Anxiety
Curricula
Clinical trials
Consciousness
Health sciences
Artificial intelligence
Registration
Data
Focus groups
Qualitative research
Nursing education
Averages
Clinical research
Mixed methods research
Nursing
Interviews
Attitudes
Productivity
Cronbach's alpha
Data collection
Medical students
Patients
College Faculty
Likert Scales
Measurement Techniques
Participant Characteristics
Decision Making Skills
Statistical Data
Cutting Scores
Behavior Modification
Semi Structured Interviews
School Readiness
Inferences
Nursing Students
Correlation
Skill Development
Statistical Analysis
College Science
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Laburpena: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.
ISSN:1471-5953
1873-5223
DOI:10.1016/j.nepr.2025.104538
Baliabidea:Sociology Database