Araştırma Makalesi
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Attitude Analysis of Health Employees on Artificial Intelligence Applications

Yıl 2025, Cilt: 25 Sayı: 2, 93 - 122

Handan Şirin , Eda Yılmaz Alarçin

https://doi.org/10.18037/ausbd.1529145

Öz

Nowadays, significant advancements have been made in the field of healthcare in diagnosis, treatment, and care alongside technology. Artificial intelligence and robotics provide support for healthcare professionals and offer facilitative solutions. These solutions contribute to enhancing the quality of care in healthcare services. The increasing complexity and volume of data in the healthcare field indicate that artificial intelligence will be more widely used in this area. Artificial intelligence plays a significant role in medical decision-making processes in the healthcare sector. However, the attitudes of healthcare professionals towards artificial intelligence technologies can affect their effective adoption. The research aims to evaluate the attitudes of healthcare professionals in artificial intelligence applications and determine whether these attitudes vary according to demographic characteristics and the use of information technologies. A quantitative research method was applied in the study. A survey was used as the data collection method, and 386 assessable survey forms were obtained. The data collected during the research were analyzed utilizing the SPSS 21 software program. The analysis revealed significant differences between participants’ attitudes toward artificial intelligence and factors such as their gender, employment status, industry of employment, level of information technology use, duration of information technology usage, use of technological devices like computers and Kindle (e-book readers) and their use of information technology for connecting to social networks.

Anahtar Kelimeler

Deep Learning Machine Learning Healthcare Professionals Artificial Intelligence Artificial Intelligence Applications

Etik Beyan

The research included in the article was carried out with the approval of the Ethics Committee of Istanbul University Cerrahpaşa Ethics Committee (Approval Date: 27.11.2023; Approval No: 892761).

Kaynakça

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Sağlık Çalışanlarının Yapay Zekâ Uygulamalarına Yönelik Tutum Analizi

Yıl 2025, Cilt: 25 Sayı: 2, 93 - 122

Handan Şirin , Eda Yılmaz Alarçin

https://doi.org/10.18037/ausbd.1529145

Öz

Günümüzde teknolojiyle beraber sağlık alanında tanı, tedavi ve bakımda önemli ilerlemeler kaydedilmektedir. Yapay zekâ ve robot teknolojileri sağlık çalışanları için destek sağlamakta ve kolaylaştırıcı çözümler sunmaktadır. Bu çözümler sayesinde sağlık hizmetlerinde bakım kalitesinin artması sağlanmaktadır. Sağlık alanında verinin karmaşıklığının ve miktarının artması, yapay zekânın bu alanda daha yaygın bir şekilde kullanılacağını işaret etmektedir. Yapay zekâ, sağlık sektöründe tıbbi karar verme süreçlerinde önemli bir rol oynamaktadır. Ancak, sağlık çalışanlarının yapay zekâ teknolojilerine yönelik tutumları, bu teknolojilerin etkili bir şekilde benimsenmesini etkileyebilmektedir. Yapılan araştırmayla birlikte sağlık çalışanlarının yapay zekâ uygulamalarına yönelik tutumlarının değerlendirilerek, yapay zekâya ilişkin tutumlarının demografik özelliklere ve bilişim teknolojileri kullanımına göre farklılaşıp farklılaşmadığını belirlemek amaçlanmıştır. Çalışmada nicel araştırma yöntemi uygulanmıştır. Veri toplama yöntemi olarak anket kullanılmış ve 386 değerlendirilebilir anket formu elde edilmiştir. Araştırmada elde edilen veriler SPSS 21 programı aracılığıyla yapılmıştır. Yapılan analizler sonucunda; katılımcıların cinsiyetleri, çalışma durumları, çalışılan sektör, bilişim teknolojileri kullanım düzeyleri, bilişim teknolojileri kullanım süreleri, kullanılan teknolojik cihaz olarak bilgisayar ve kindle (e-kitap okuyucu) kullanımları, bilişim teknolojilerini sosyal ağlara bağlanmak amacıyla kullanımları ile yapay zekâya yönelik tutumları arasında anlamlı farklılık bulunmuştur.

Anahtar Kelimeler

Derin Öğrenme Makine Öğrenimi Sağlık Çalışanları Yapay Zekâ Yapay Zekâ Uygulamaları

Etik Beyan

Makalede yer alan araştırma, İstanbul Üniversitesi-Cerrahpaşa, Sosyal ve Beşerî Bilimler Araştırmaları Etik Kurulu’nun onayıyla gerçekleştirilmiştir (Onay Tarihi: 23.01.2024; Onay No: 892761).

Kaynakça

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  • Zheng, X. T., Yang, Z., Sutarlie, L., Thangaveloo, M., Yu, Y., Salleh, N. A., . . . Tee, B. C. (2023). Battery-Free and AI-Enabled Multiplexed Sensor Patches for Wound Monitoring. Science Advanced, 9(24), 1-14. https://doi.org/10.1126/sciadv.adg6670.
Toplam 93 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Sağlıkta Bilgi İşleme, Yapay Zeka (Diğer)
Bölüm Makaleler
Yazarlar

Handan Şirin 0000-0002-2377-0177

Eda Yılmaz Alarçin 0000-0002-6100-1272

Erken Görünüm Tarihi 28 Haziran 2025
Yayımlanma Tarihi
Gönderilme Tarihi 6 Ağustos 2024
Kabul Tarihi 3 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 25 Sayı: 2

Kaynak Göster

APA Şirin, H., & Yılmaz Alarçin, E. (2025). Sağlık Çalışanlarının Yapay Zekâ Uygulamalarına Yönelik Tutum Analizi. Anadolu Üniversitesi Sosyal Bilimler Dergisi, 25(2), 93-122. https://doi.org/10.18037/ausbd.1529145
 Kapak Resmi İndir

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