The effect of artificial intelligence-assisted applications on the perception of nursing values and the mediating role of resilience


ÜZEN CURA Ş., ATAY S., Cimen Isik M., Isik E.

BMC NURSING, cilt.25, sa.1, 2026 (SCI-Expanded, SSCI, Scopus)

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 25 Sayı: 1
  • Basım Tarihi: 2026
  • Doi Numarası: 10.1186/s12912-026-04763-0
  • Dergi Adı: BMC NURSING
  • Derginin Tarandığı İndeksler: Science Citation Index Expanded (SCI-EXPANDED), Social Sciences Citation Index (SSCI), Scopus, CINAHL, Directory of Open Access Journals, Academic Search Ultimate (EBSCO), Health Research Premium Collection (ProQuest)
  • Çanakkale Onsekiz Mart Üniversitesi Adresli: Evet

Özet

Background Artificial & Idot;ntelligence (AI)-assisted applications are becoming widespread in nursing practice and are creating a significant transformation in care processes. While this transformation may influence nurses' perceptions of professional values, psychological resources such as resilience may shape how nurses adapt to this technological change. However, the role of resilience in this change remains unclear. Aim This study examined the relationship between nurses' attitudes toward artificial intelligence-assisted applications and their perceptions of professional values, and tested whether resilience mediates this relationship. Method This cross-sectional study employed a correlational design with regression-based mediation analysis and was conducted with 301 nurses working in a university hospital. Data were collected between June and September 2025 using the Attitude Scale Towards the Use of Artificial Intelligence Technologies in Nursing, the Nurses' Professional Values Scale-Revised, and the Brief Resilience Scale. Data analysis was performed using the Jamovi 2.6.22 statistical software package. Results A positive and significant relationship was found between AI attitude and professional value perception (beta = 0.693, p < 0.01). A positive AI attitude was determined to have a direct and significant effect on the perception of professional values (beta = 0.835, p < 0.01). The indirect effect of resilience was not statistically significant (beta = - 0.005, p = 0.741), indicating that resilience did not mediate the relationship between AI attitude and professional values. Conclusion Nurses' positive attitudes toward artificial intelligence were positively associated with their perception of professional values. Resilience does not assume a mediating role in this relationship. Clinical trial number Not applicable.