Ameliyathane Hemşireliğinde Yapay Zekâ Uygulamaları: Mevcut Durum ve Gelecek Perspektifleri

Abstract

Bu derleme, ameliyathane hemşireliğinde yapay zekâ teknolojilerinin mevcut kullanım alanlarını incelemeyi, bu teknolojilerin mesleki uygulamalara olan etkilerini değerlendirmeyi ve gelecekteki potansiyel gelişmeleri tartışmayı amaçlamaktadır. Yapay zekâ uygulamalarının etkisi; ameliyat öncesi hazırlık ve hasta değerlendirme, intraoperatif destek ve komplikasyon öngörüsü ile ameliyat sonrası bakım ve hasta izlemi olmak üzere üç temel başlık altında incelenmiştir. Yapay zeka teknolojileri, ameliyat öncesi hazırlıkların kişiselleştirilmesi, cerrahi süreçlerin gerçek zamanlı takibi ve ameliyat sonrası bakım kalitesinin artırılması konularında önemli katkılar sağlamaktadır. Makine öğrenimi algoritmaları sayesinde potansiyel komplikasyonlar erken tespit edilebilmekte; robotik sistemler ve artırılmış gerçeklik teknolojileri ise hemşirelerin cerrahlara daha etkin destek vermesine olanak tanımaktadır. Ancak, bu teknolojilerin entegrasyonu şeffaflık eksikliği, algoritmik önyargılar ve veri güvenliği gibi etik ve teknik sorunları da beraberinde getirmektedir. Ameliyathane hemşireliğinde Yapay zekanın etkili kullanımı için etik, eğitsel ve sistemsel düzenlemelerin yapılması gereklidir. Hemşirelik eğitiminin Yapay zeka okuryazarlığı ile güçlendirilmesi ve hemşirelerin Yapay zeka sistemlerinin geliştirme süreçlerine aktif katılımı, bu teknolojilerin güvenli ve etkin kullanımını sağlayacaktır.

Keywords

• Yapay zekâ
• ameliyathane hemşireliği
• makine öğrenimi
• hasta güvenliği
• etik

Supporting Institution

Bu araştırma herhangi bir finansman kuruluşundan/sektörden destek almamıştır.

Ethical Statement

Bu çalışma derleme makalesi olduğu için Etik kurul alınmamıştır.

Thanks

Yoktur.

Artificial Intelligence Applications in Operating Room Nursing: Current Practices and Future Perspectives

Abstract

Düz Bağlayıcı 20, ŞekilThis review aims to examine the current applications of artificial intelligence (AI) in operating room nursing, evaluate its impact on professional practices, and discuss potential future developments. The effects are analyzed in three main areas: preoperative preparation and patient assessment, intraoperative support and complication prediction, and postoperative care and patient monitoring. AI technologies significantly contribute to the personalization of preoperative preparations, real-time monitoring of surgical processes, and improvement of postoperative care quality. Machine learning algorithms facilitate early detection of potential complications, while robotic systems and augmented reality technologies enable nurses to better support surgeons. However, AI integration also raises ethical and technical challenges such as lack of transparency, algorithmic bias, and data security. Effective use of AI in operating room nursing requires ethical, educational, and systemic frameworks. Strengthening nursing education with AI literacy and involving nurses in AI development processes are crucial for the safe and effective use of these technologies.

Keywords

• Artificial intelligence
• Operating room nursing
• Machine learning
• Patient safety
• Ethics.

Supporting Institution

This research did not receive support from any funding agency/industry.

Ethical Statement

This study is a review article, so no ethics committee approval was required.

Thanks

None.

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