Yapay Zekanın Hemşirelik Bakımına Entegrasyonu
Özet
Yapay zekânın (YZ) hemşirelik bakımı, eğitimi ve yönetimine entegrasyonu; tarihsel gelişimi, etik-yasal boyutları ve metaverse gibi gelişmekte olan dijital teknolojilerle ilişkisi bağlamında kapsamlı bir şekilde incelenmektedir. Günümüz sağlık hizmetlerinde YZ; klinik karar verme süreçlerini destekleme, düşme geçmişi olan hastaları belirleme, risk tespiti ve bireyselleştirilmiş kanıta dayalı bakım planlaması gibi doğrudan etkileşim gerektirmeyen alanlarda hemşirelerin iş yükünü hafifleten ve zamandan tasarruf sağlayan önemli bir araç olarak öne çıkmaktadır. Eğitim alanında ise YZ destekli simülasyon tabanlı öğrenme ve sanal materyaller, öğrencilere gerçek dünyadaki tehlikelerden uzak, esnek ve pratik uygulama kolaylıkları sunarak akademik performansı ve katılımı artırmaktadır. YZ, artırılmış gerçeklik ve sanal gerçekliğin kesişimi olan metaverse ise sağlık yönetiminde ve hemşirelik eğitiminde duraklatılamayan, sürdürülebilir yeni deneyim alanları açmaktadır. Bununla birlikte, üretilen hiçbir teknolojinin insan zekasından daha etik olamayacağı ve deneyimli sağlık profesyonellerinin yerini alamayacağı belirtilmektedir. Özellikle refakatçi robotların uzun vadeli kullanımında insan onuruna saygı, mahremiyet, zarar vermeme ilkesi ve sosyal izolasyon gibi ciddi yasal ve etik sorunlar yaşanabileceği uyarısı yapılmaktadır. Sonuç olarak, YZ'nin doğrudan hasta bakımına tamamen devredilemeyeceği, hemşireliğin temel insani ve etik değerlerini ihlal etmeyecek şekilde, pratik kılavuzlar eşliğinde entegre edilmesi gerektiği savunulmaktadır.
The integration of artificial intelligence (AI) into nursing care, education, and management is comprehensively examined within the context of its historical development, ethical-legal dimensions, and relationship with emerging digital technologies like the metaverse. In contemporary healthcare, AI stands out as an important tool that reduces the workload of nurses and saves time in areas that do not require direct interaction, such as supporting clinical decision-making processes, identifying patients with a history of falls, risk detection, and individualized evidence-based care planning. In the field of education, AI-supported simulation-based learning and virtual materials enhance academic performance and engagement by offering students flexible and practical application opportunities away from real-world dangers. The metaverse, which is the intersection of AI, augmented reality, and virtual reality, opens up non-pausable, sustainable new experiential domains in healthcare management and nursing education. Nevertheless, it is stated that no developed technology can be more ethical than human intelligence or replace experienced healthcare professionals. Warnings are issued that serious legal and ethical issues, such as respect for human dignity, privacy, the principle of non-maleficence, and social isolation, may arise, particularly in the long-term use of companion robots. In conclusion, it is argued that direct patient care cannot be fully delegated to AI, and it must be integrated with the guidance of practical handbooks in a manner that does not violate the core human and ethical values of nursing.
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