Content area
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
Data Collection;
Nursing Education;
College Faculty;
Likert Scales;
Measurement Techniques;
Interviews;
Participant Characteristics;
Mixed Methods Research;
Artificial Intelligence;
Decision Making Skills;
Statistical Data;
Health Sciences;
Focus Groups;
Cutting Scores;
Behavior Modification;
Semi Structured Interviews;
School Readiness;
Inferences;
Nursing Students;
Correlation;
Qualitative Research;
Skill Development;
Statistical Analysis;
College Science
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
; Türkben Polat, Hilal 2
1 Necmettin Erbakan University, Seydişehir Kamil Akkanat Faculty of Health Sciences, Medical Diseases Nursing Division, Konya, Turkey
2 Necmettin Erbakan University, Seydişehir Kamil Akkanat Faculty of Health Sciences, Department of Fundamentals of Nursing, Konya, Turkey