Sürdürülebilir Kalkınma Amaçları
Yazarlar
Yayınlar
- MakaleAçık Erişim2026Scopus SJRQ1Health sciences students’ attitudes toward artificial intelligence: predictors of ethical awareness, clinical decision-making, and public health perceptions-a cross-sectional study
Unal, Cihan; Şahin, Selim
This study investigates health sciences students’ attitudes toward artificial intelligence (AI) and the implications for ethical awareness, clinical decision-making, and public health. A cross-sectional survey was conducted between April 27 and May 15 2025, with 668 students from five departments at Gümüşhane University, employing the validated Artificial Intelligence Attitude Scale, which measures benefits, risks, and use, alongside 12 binary-response items assessing ethical, clinical, and public health judgments. Descriptive statistics, t-tests, ANOVA, and logistic regression analyses were applied. Findings indicate that students perceive AI as highly beneficial (M = 4.05) but also associate it with notable risks (M = 2.52; where lower scores indicate a higher level of perceived risk due to reverse coding). Logistic regression analyses revealed that risk perception (reverse-coded; higher scores indicating lower perceived risk) was the most consistent predictor across all dimensions. Specifically, students with lower perceived risk were significantly more likely to reject concerns regarding patient privacy (OR = 2.55, 95% CI [2.03–3.21], p < 0.001), dismiss the idea that relying on AI instead of human expertise is problematic (OR = 1.57, 95% CI [1.25–1.96], p < 0.001), and reject the notion that AI systems may harm public health (OR = 2.52, 95% CI [1.98–3.20], p < 0.001). While participants endorsed AI’s potential in enhancing patient safety, chronic disease management, and preventive care, they expressed significant concerns about privacy, legal responsibility, and a potential weakening of patient–clinician communication. Gender, academic discipline, and prior AI use further differentiated attitudes. The results highlight a dual perception of AI as both an opportunity and a threat, emphasizing that successful integration in healthcare requires not only technical competence but also ethical, legal, and communicative safeguards.
AtıfScopus1WoS1OpenAlex2
İncele - MakaleYalnız künye2024Scopus SJRQ2The Impact of Video-Based Simulation Training on Perioperative Process in Nursing Students: A Randomized Controlled Study
Kulakaç, Nurşen; Koçan, Sema; Aktuğ, Cemile
This study was conducted to explore the effect of video-based simulation training on postoperative patient care, clinical decision-making, and the competency levels of nursing students. The study was conducted as a randomized controlled trial. The sample of the study consisted of students (n=87) attending the nursing department of the health sciences faculty of a state university located in the Eastern Black Sea Region of Turkey. The data were collected with the “Student Information Form”, the “Postoperative Patient Care Knowledge Test”, the “Clinical Decision-Making in Nursing Scale (CDMNS)”, and the “Competency Inventory of Nursing Students (CINS)”. The postoperative patient care knowledge test scores of the experimental group students were statistically significantly higher than those of the control group (p<0.001). The CDMNS scores of the experimental group students were statistically significantly higher than those of the control group (p=0.024). There was no statistically significant difference between the CINS scores of the experimental and control groups. The results showed that the use of video simulation contributed positively to students' postoperative patient care and clinical decision-making.
AtıfScopus6WoS6OpenAlex7İncele