Araştırma Makalesi
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IS ARTIFICIAL INTELLIGENCE A MENACE OR AN ASSISTANCE IN NURSING? NURSES' PERSPECTIVES AND EXPERIENCES: A QUALITATIVE STUDY

Yıl 2026, Cilt: 7 Sayı: 1 , 21 - 28 , 28.04.2026
https://doi.org/10.52831/kjhs.1799511
https://izlik.org/JA88SL43TK

Öz

Objective: This study aimed to explore nurses’ perspectives and experiences regarding the use of artificial intelligence (AI) in clinical settings, with particular attention to its relevance in technology-intensive areas such as surgical nursing.
Method: This qualitative study was conducted using a phenomenological design. Data were collected between November 2024 and March 2025 through semi-structured interviews with 13 nurses working in Healthcare Information and Management Systems Society (HIMSS) Level 6 and 7 hospitals in Türkiye. Most participants were employed in surgical units, including operating rooms and intensive care settings. Interviews were audio-recorded, transcribed verbatim, and analyzed using thematic analysis. Descriptive statistics were used to summarize participant characteristics. The study was reported in accordance with the COREQ checklist.
Results: Four main themes emerged: use of AI, benefits of AI, challenges of AI, and recommendations. Nurses reported using AI in clinical practice, academic work, and daily life, particularly for literature review, translation, clinical decision support, and patient monitoring. In surgical and high-risk clinical environments, AI-supported systems such as real-time monitoring, early warning mechanisms, and digital documentation were perceived to enhance patient safety and support timely interventions. AI applications were also found to reduce workload and improve time management. However, participants reported important challenges, including concerns about data privacy and security, ethical issues, and the potential negative impact on critical thinking and the human aspect of care.
Conclusion: The findings reveal that the experiences and perspectives of nurses working in HIMSS Level 6 and 7 hospitals regarding artificial intelligence are multidimensional. These results point to the need to support nurses in digital literacy, ethical reasoning, and system integration. The conscious, safe, and humane use of artificial intelligence is particularly critical in surgical and advanced technology-intensive clinical settings. Nevertheless, ethical concerns and structural limitations remain. Strengthening education and infrastructure is essential to ensure the safe and effective use of AI in nursing.

Etik Beyan

Ethics committee approval was obtained from Gazi University Ethics Committee for conducting the study under the approval number E-77082166-604.01-1077704 (dated 28.10.2024).

Destekleyen Kurum

Gazi University

Kaynakça

  • McCarthy J, Minsky ML, Rochester N, Shannon CE. A proposal for the dartmouth summer research project on artificial ıntelligence, August 31, 1955. AI Mag. 2006;27(4):12-14.
  • World Health Organization. Ethics and governance of artificial intelligence for health: guidance on large multi-modal models. World Health Organization. 2024. Available from: https://www.who.int/publications/i/item/9789240084759
  • Kandemir F, Azizoğlu F. Examining nurses’ general attitudes towards artificial ıntelligence. J Intensive Care Nurs. 2024;28(2):113-125.
  • Ergin E, Karaarslan D, Şahan S, Çınar Yücel Ş. Artificial intelligence and robot nurses: from nurse managers' perspective: a descriptive cross‐sectional study. J Nurs Manag. 2022;30(8):3853-3862.
  • Kandemir F, Azizoğlu F, Terzi B. Use of artificial intelligence and robotic technologies in nursing. J Intensive Care Nurs. 2023;27(2):118-127.
  • Robert N. How artificial intelligence is changing nursing. Nurs Manag (Harrow). 2019;50(9):30-39.
  • Rony MKK, Kayesh I, Bala SD, Akter F, Parvin MR. Artificial intelligence in future nursing care: exploring perspectives of nursing professionals-a descriptive qualitative study. Heliyon. 2024;10(4):e25718.
  • Subaşı ÖD, Akça Sümengen A, Semerci R, Şimşek E, Çakır GN, Temizsoy E. Paediatric nurses' perspectives on artificial intelligence applications: a cross‐sectional study of concerns, literacy levels and attitudes. J Adv Nurs. 2024;81(3):1353-1363.
  • Jowsey T, Deng C, Weller J. General-purpose thematic analysis: a useful qualitative method for anaesthesia research. BJA Educ. 2021;21(12):472-478.
  • Dong A, Guo J, Cao Y. Medical information mining‐based visual artificial intelligence emergency nursing management system. J Healthc Eng. 2021;2021:4253606.
  • Horowitz MC, Kahn L. What influences attitudes about artificial intelligence adoption: evidence from US local officials. PLoS One. 2021;16(10):e0257732.
  • Pepito JA, Locsin R. Can nurses remain relevant in a technologically advanced future? Int J Nurs Sci. 2019;6(1):106-110.
  • Gökalp MG, Üzer MA. Nursing care in the age of artificial intelligence. UHSJN. 2024;6(1):89-94.
  • Elgin CY, Elgin C. Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals' perspectives. BMC Med Ethics. 2024;25:148.
  • Gallagher A. Artificial intelligence and nursing: the good, the bad and the cautionary. Nurs Ethics. 2024;31(6):995-998.
  • Ibuki T, Ibuki A, Nakazawa E. Possibilities and ethical issues of entrusting nursing tasks to robots and artificial intelligence. Nurs Ethics. 2024;31(6):1010-1020.
  • Benfatah M. Exploring the barriers to artificial intelligence integration in nursing practice: a survey of nurses. J Radiol Nurs. 2025;44(2):190-194.
  • Park Y, Chang SJ, Kim E. Artificial intelligence in critical care nursing: a scoping review. Aust Crit Care. 2025;38(4):101225.
  • Naureen M, Siddiqui S, Nasir S, Khan A. Awareness of the role of artificial intelligence in health care among undergraduate nursing students: a descriptive cross-sectional study. Nurse Educ Today. 2025;149:106673.
  • Sumengen AA, Subasi DO, Cakir GN. Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study. Teach Learn Nurs. 2025;20(1):e250-e257.
  • Yılmaz Y, Yılmaz DU, Yıldırım D, Korhan EA, Kaya DÖ. Artificial intelligence and the use of artificial intelligence in health: Opinions of Health Sciences Students. Suleyman Demirel Univ J Health Sci. 2021;12(3):297-308.
  • Almagharbeh WT, Alfanash HA, Alnawafleh KA, et al. Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses’ perspectives. BMC Nurs. 2025;24(1):92.
  • Alkan SA, Kirmaci ND, Koç Z. Is artificial intelligence an opportunity or a threat in nursing care?: An in-depth phenomenological study. Arch Psychiatr Nurs. 2025;54:54-62.
  • Nashwan AJ, Cabrega JcA, Othman MI, et al. The evolving role of nursing informatics in the era of artificial intelligence. Int Nurs Rev. 2025;72(1):e13084.
  • Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319-340.
  • Rogers EM, Singhal A, Quinlan MM. Diffusion of innovations. In: Stacks DW, Salwen MB, Eichhorn KC, eds. An integrated approach to communication theory and research. 3rd ed. Routledge; 2019: 415-434.
  • Tavakol M., Sandars J. Twelve tips for using phenomenology as a qualitative research approach in health professions education. Medical Teacher. 2025;47(9):1441-1446.
  • Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357.
  • Ministry of Health. Dijital hospital level 6 [Internet]. 2023 [cited 2025 Apr 16]. Available from: https://dijitalhastane.saglik.gov.tr/TR-4866/6-seviye.html
  • Ministry of Health. Digital hospital level 7 [Internet]. 2023 [cited 2025 Apr 16]. Available from: https://dijitalhastane.saglik.gov.tr/TR-4867/7-seviye.html
  • Tisdell EJ, Merriam SB, Stuckey-Peyrot HL. Qualitative research: A guide to design and implementation. John Wiley & Sons. 2025.
  • Jallad ST, Alsaqer K, Albadareen BI, Al-Maghaireh D. Artificial intelligence tools utilized in nursing education: incidence and associated factors. Nurse Educ Today. 2024;142:106355.
  • Maj A, Makowska M, Sacharczuk K. The content analysis used in nursing research and the possibility of including artificial intelligence support: a methodological review. Appl Nurs Res. 2025;82:151919.
  • Smith JA, Osborn M. Interpretative phenomenological analysis. In: Smith JA, ed. Qualitative psychology: A practical guide to research methods. Sage Publications; 2003: 51-80.
  • Morse JM. Critical analysis of strategies for determining rigor in qualitative inquiry. Qual Health Res. 2015;25(9):1212-1222.
  • Tseng LP, Huang LP, Chen WR. Exploring artificial intelligence literacy and the use of ChatGPT and Copilot in instruction on nursing academic report writing. Nurse Educ Today. 2025;147:106570.
  • Wang X, Fei F, Wei J, et al. Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study. Front Public Health. 2024;12:1433252.
  • Zhou T, Luo Y, Li J, et al. Application of artificial intelligence in oncology nursing: a scoping review. Cancer Nurs. 2024;47(6):436-450.
  • Tarsuslu S, Agaoglu FO, Bas M. Can digital leadership transform AI anxiety and attitude in nurses? J Nurs Scholarsh. 2025;57(1):28-38.
  • Qaladi O, Alshammari M, Almalki AA. Artificial intelligence (AI) in nursing administration: challenges and opportunities. PLoS One. 2025;20(4):e0319588.

YAPAY ZEKÂ HEMŞİRELİKTE BİR TEHDİT Mİ YOKSA YARDIMCI MI? HEMŞİRELERİN BAKIŞ AÇILARI VE DENEYİMLERİ: NİTEL BİR ÇALIŞMA

Yıl 2026, Cilt: 7 Sayı: 1 , 21 - 28 , 28.04.2026
https://doi.org/10.52831/kjhs.1799511
https://izlik.org/JA88SL43TK

Öz

Amaç: Bu çalışmanın amacı, hemşirelerin yapay zekânın (YZ) klinik ortamlarda kullanımına ilişkin bakış açılarını ve deneyimlerini incelemek ve özellikle cerrahi hemşireliği gibi teknoloji yoğun alanlardaki önemini ortaya koymaktır.
Yöntem: Bu çalışma fenomenolojik desen kullanılarak yürütülen nitel bir araştırmadır. Veriler, Kasım 2024-Mart 2025 tarihleri arasında Türkiye’de Sağlık Bilgi ve Yönetim Sistemleri Derneği (HIMSS) Seviye 6 ve 7 hastanelerinde çalışan 13 hemşire ile yarı yapılandırılmış görüşmeler yoluyla toplandı. Katılımcıların büyük çoğunluğu ameliyathane ve yoğun bakım gibi cerrahi birimlerde görev yapmaktadır. Görüşmeler ses kaydı alınarak yazıya döküldü ve veriler tematik analiz yöntemiyle incelendi. Katılımcı özellikleri tanımlayıcı istatistiklerle özetlendi. Çalışma COREQ kontrol listesine uygun olarak raporlandı.
Bulgular: Analiz sonucunda dört ana tema belirlendi: YZ’nin kullanımı, YZ’nin faydaları, YZ’nin zorlukları ve öneriler. Hemşireler YZ’yi klinik uygulamalarda, akademik çalışmalarda ve günlük yaşamda; özellikle literatür tarama, çeviri, klinik karar desteği ve hasta izlem süreçlerinde kullandıklarını ifade etti. Özellikle cerrahi ve yüksek riskli klinik ortamlarda YZ destekli gerçek zamanlı izlem, erken uyarı sistemleri ve dijital kayıt uygulamalarının hasta güvenliğini artırdığı ve zamanında müdahaleyi desteklediği belirtildi. YZ uygulamalarının iş yükünü azalttığı ve zaman yönetimini iyileştirdiği de vurgulandı. Bununla birlikte veri gizliliği ve güvenliği, etik sorunlar ve bakımın insani boyutuna olası etkiler önemli zorluklar olarak dile getirildi.
Sonuç: Bulgular, SBYST Seviye 6 ve 7 hastanelerinde çalışan hemşirelerin YZ’ye ilişkin deneyim ve bakış açılarının çok boyutlu olduğunu ortaya koydu. Bu sonuçlar, hemşirelerin dijital okuryazarlık, etik akıl yürütme ve sistem entegrasyonu konularında desteklenmesinin gerekliliğine işaret etmektedir. Özellikle cerrahi ve ileri teknoloji gerektiren klinik alanlarda yapay zekânın bilinçli, güvenli ve insancıl biçimde kullanımı kritik önem taşımaktadır. Ancak etik ve yapısal sorunlar devam etmektedir. YZ’nin güvenli ve etkili kullanımı için eğitim ve altyapının güçlendirilmesi gereklidir.

Etik Beyan

Çalışmanın yürütülmesi için Gazi Üniversitesi Etik Kurulu'ndan E-77082166-604.01-1077704 numaralı onay (28.10.2024 tarihli) alınmıştır.

Destekleyen Kurum

Gazi Üniversitesi

Kaynakça

  • McCarthy J, Minsky ML, Rochester N, Shannon CE. A proposal for the dartmouth summer research project on artificial ıntelligence, August 31, 1955. AI Mag. 2006;27(4):12-14.
  • World Health Organization. Ethics and governance of artificial intelligence for health: guidance on large multi-modal models. World Health Organization. 2024. Available from: https://www.who.int/publications/i/item/9789240084759
  • Kandemir F, Azizoğlu F. Examining nurses’ general attitudes towards artificial ıntelligence. J Intensive Care Nurs. 2024;28(2):113-125.
  • Ergin E, Karaarslan D, Şahan S, Çınar Yücel Ş. Artificial intelligence and robot nurses: from nurse managers' perspective: a descriptive cross‐sectional study. J Nurs Manag. 2022;30(8):3853-3862.
  • Kandemir F, Azizoğlu F, Terzi B. Use of artificial intelligence and robotic technologies in nursing. J Intensive Care Nurs. 2023;27(2):118-127.
  • Robert N. How artificial intelligence is changing nursing. Nurs Manag (Harrow). 2019;50(9):30-39.
  • Rony MKK, Kayesh I, Bala SD, Akter F, Parvin MR. Artificial intelligence in future nursing care: exploring perspectives of nursing professionals-a descriptive qualitative study. Heliyon. 2024;10(4):e25718.
  • Subaşı ÖD, Akça Sümengen A, Semerci R, Şimşek E, Çakır GN, Temizsoy E. Paediatric nurses' perspectives on artificial intelligence applications: a cross‐sectional study of concerns, literacy levels and attitudes. J Adv Nurs. 2024;81(3):1353-1363.
  • Jowsey T, Deng C, Weller J. General-purpose thematic analysis: a useful qualitative method for anaesthesia research. BJA Educ. 2021;21(12):472-478.
  • Dong A, Guo J, Cao Y. Medical information mining‐based visual artificial intelligence emergency nursing management system. J Healthc Eng. 2021;2021:4253606.
  • Horowitz MC, Kahn L. What influences attitudes about artificial intelligence adoption: evidence from US local officials. PLoS One. 2021;16(10):e0257732.
  • Pepito JA, Locsin R. Can nurses remain relevant in a technologically advanced future? Int J Nurs Sci. 2019;6(1):106-110.
  • Gökalp MG, Üzer MA. Nursing care in the age of artificial intelligence. UHSJN. 2024;6(1):89-94.
  • Elgin CY, Elgin C. Ethical implications of AI-driven clinical decision support systems on healthcare resource allocation: a qualitative study of healthcare professionals' perspectives. BMC Med Ethics. 2024;25:148.
  • Gallagher A. Artificial intelligence and nursing: the good, the bad and the cautionary. Nurs Ethics. 2024;31(6):995-998.
  • Ibuki T, Ibuki A, Nakazawa E. Possibilities and ethical issues of entrusting nursing tasks to robots and artificial intelligence. Nurs Ethics. 2024;31(6):1010-1020.
  • Benfatah M. Exploring the barriers to artificial intelligence integration in nursing practice: a survey of nurses. J Radiol Nurs. 2025;44(2):190-194.
  • Park Y, Chang SJ, Kim E. Artificial intelligence in critical care nursing: a scoping review. Aust Crit Care. 2025;38(4):101225.
  • Naureen M, Siddiqui S, Nasir S, Khan A. Awareness of the role of artificial intelligence in health care among undergraduate nursing students: a descriptive cross-sectional study. Nurse Educ Today. 2025;149:106673.
  • Sumengen AA, Subasi DO, Cakir GN. Nursing students' attitudes and literacy toward artificial intelligence: a cross-sectional study. Teach Learn Nurs. 2025;20(1):e250-e257.
  • Yılmaz Y, Yılmaz DU, Yıldırım D, Korhan EA, Kaya DÖ. Artificial intelligence and the use of artificial intelligence in health: Opinions of Health Sciences Students. Suleyman Demirel Univ J Health Sci. 2021;12(3):297-308.
  • Almagharbeh WT, Alfanash HA, Alnawafleh KA, et al. Application of artificial intelligence in nursing practice: a qualitative study of Jordanian nurses’ perspectives. BMC Nurs. 2025;24(1):92.
  • Alkan SA, Kirmaci ND, Koç Z. Is artificial intelligence an opportunity or a threat in nursing care?: An in-depth phenomenological study. Arch Psychiatr Nurs. 2025;54:54-62.
  • Nashwan AJ, Cabrega JcA, Othman MI, et al. The evolving role of nursing informatics in the era of artificial intelligence. Int Nurs Rev. 2025;72(1):e13084.
  • Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS Quarterly. 1989;13(3):319-340.
  • Rogers EM, Singhal A, Quinlan MM. Diffusion of innovations. In: Stacks DW, Salwen MB, Eichhorn KC, eds. An integrated approach to communication theory and research. 3rd ed. Routledge; 2019: 415-434.
  • Tavakol M., Sandars J. Twelve tips for using phenomenology as a qualitative research approach in health professions education. Medical Teacher. 2025;47(9):1441-1446.
  • Tong A, Sainsbury P, Craig J. Consolidated criteria for reporting qualitative research (COREQ): a 32-item checklist for interviews and focus groups. Int J Qual Health Care. 2007;19(6):349-357.
  • Ministry of Health. Dijital hospital level 6 [Internet]. 2023 [cited 2025 Apr 16]. Available from: https://dijitalhastane.saglik.gov.tr/TR-4866/6-seviye.html
  • Ministry of Health. Digital hospital level 7 [Internet]. 2023 [cited 2025 Apr 16]. Available from: https://dijitalhastane.saglik.gov.tr/TR-4867/7-seviye.html
  • Tisdell EJ, Merriam SB, Stuckey-Peyrot HL. Qualitative research: A guide to design and implementation. John Wiley & Sons. 2025.
  • Jallad ST, Alsaqer K, Albadareen BI, Al-Maghaireh D. Artificial intelligence tools utilized in nursing education: incidence and associated factors. Nurse Educ Today. 2024;142:106355.
  • Maj A, Makowska M, Sacharczuk K. The content analysis used in nursing research and the possibility of including artificial intelligence support: a methodological review. Appl Nurs Res. 2025;82:151919.
  • Smith JA, Osborn M. Interpretative phenomenological analysis. In: Smith JA, ed. Qualitative psychology: A practical guide to research methods. Sage Publications; 2003: 51-80.
  • Morse JM. Critical analysis of strategies for determining rigor in qualitative inquiry. Qual Health Res. 2015;25(9):1212-1222.
  • Tseng LP, Huang LP, Chen WR. Exploring artificial intelligence literacy and the use of ChatGPT and Copilot in instruction on nursing academic report writing. Nurse Educ Today. 2025;147:106570.
  • Wang X, Fei F, Wei J, et al. Knowledge and attitudes toward artificial intelligence in nursing among various categories of professionals in China: a cross-sectional study. Front Public Health. 2024;12:1433252.
  • Zhou T, Luo Y, Li J, et al. Application of artificial intelligence in oncology nursing: a scoping review. Cancer Nurs. 2024;47(6):436-450.
  • Tarsuslu S, Agaoglu FO, Bas M. Can digital leadership transform AI anxiety and attitude in nurses? J Nurs Scholarsh. 2025;57(1):28-38.
  • Qaladi O, Alshammari M, Almalki AA. Artificial intelligence (AI) in nursing administration: challenges and opportunities. PLoS One. 2025;20(4):e0319588.
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular Cerrahi Hastalıklar Hemşireliği
Bölüm Araştırma Makalesi
Yazarlar

İnci Mercan Annak 0000-0002-1327-8875

Hafize Savaş 0000-0002-0256-2475

Mevlüde Karadağ 0000-0003-3258-6459

Gönderilme Tarihi 8 Ekim 2025
Kabul Tarihi 3 Şubat 2026
Yayımlanma Tarihi 28 Nisan 2026
DOI https://doi.org/10.52831/kjhs.1799511
IZ https://izlik.org/JA88SL43TK
Yayımlandığı Sayı Yıl 2026 Cilt: 7 Sayı: 1

Kaynak Göster

Vancouver 1.İnci Mercan Annak, Hafize Savaş, Mevlüde Karadağ. IS ARTIFICIAL INTELLIGENCE A MENACE OR AN ASSISTANCE IN NURSING? NURSES’ PERSPECTIVES AND EXPERIENCES: A QUALITATIVE STUDY. Karya J Health Sci. 01 Nisan 2026;7(1):21-8. doi:10.52831/kjhs.1799511