Global Trends on the Use of Artificial Intelligence in Nursing: A Descriptive and Evaluative Bibliometric Analysis Study

Yıl 2024, , 149 - 156, 03.08.2024

Fatma Azizoğlu , Banu Terzi

https://doi.org/10.48071/sbuhemsirelik.1467622

Öz

Introduction: There is a need to examine the use of artificial intelligence in the branch of nursing and to investigate the
characteristics of the research conducted in this field.
Aim: The aimed was to examine the characteristics of the current knowledge structure and development process in the
field of the use of artificial intelligence in nursing.
Method: In the descriptive and evaluative bibliometric analysis study, data were obtained from Web of Science database.
All relevant studies conducted between 2004 and 2023 were included in the study. Data analysis was performed using
R Biblioshniy software. Two hundred seventy-three studies were included in the study.
Results: The most publications (n = 86, 31.50%) were made in this field in 2022. The most productive author in the field of nursing and artificial intelligence was Topaz, Maxim. The prominent topics in the studies were "virtual reality, artificial intelligence, nursing, machine learning, simulation, nursing education, education, pain, nursing students, natural language processing, nurses, robotics, deep learning and mental health".
Conclusion: There has been a significant increase in the number of studies on the use of artificial intelligence in nursing
and this area offers an active field of study for nursing researchers

Anahtar Kelimeler

Artificial intelligence, bibliometric analysis, deep learning, nursing, virtual reality

Hemşirelikte Yapay Zekanın Kullanımına İlişkin Küresel Eğilimler: Tanımlayıcı ve Değerlendirici Bir Bibliyometrik Analiz Çalışması

Öz

Giriş: Yapay zekânın hemşirelik alanında kullanımı hakkında fikir sahibi olabilmek ve bu alandaki uygulama ve araştırmalardaki gelişmeleri tespit edebilmek için ilgili yayınların özelliklerinin araştırılması gerekmektedir.
Amaç: Hemşirelikte yapay zekâ kullanımı alanında mevcut bilgi yapısı ve gelişim sürecinin özelliklerinin incelenmesi
amaçlandı.
Yöntem: Tanımlayıcı ve değerlendirici bibliyometrik analiz çalışmasında veriler “Web of Science” veri tabanından elde
edilmiştir. Çalışmaya 2004-2023 yılları arasında yapılmış ilgili tüm çalışmalar dahil edilmiştir. Veri analizi R Biblioshniy
yazılımı kullanılarak gerçekleştirilmiştir. Çalışmaya iki yüz yetmiş üç çalışma dahil edilmiştir.
Bulgular: Bu alanda en fazla yayın (n = 86, %31,50) 2022 yılında yapılmıştır. Hemşirelik ve yapay zekâ alanında en
üretken yazar Topaz, Maxim’dir. Çalışmalarda "sanal gerçeklik, yapay zekâ, hemşirelik, makine öğrenmesi, simülasyon,
hemşirelik eğitimi, eğitim, ağrı, hemşirelik öğrencileri, doğal dil işleme, hemşireler, robotik, derin öğrenme ve ruh
sağlığı" konuları öne çıkmıştır.
Sonuç: Hemşirelikte yapay zekâ kullanımına ilişkin çalışmaların sayısında önemli bir artış olmuştur ve bu alan hemşirelik
araştırmacıları için aktif bir çalışma alanı sunmaktadır.

Anahtar Kelimeler

Bibliyometrik analiz, derin öğrenme, hemşirelik, sanal gerçeklik, yapay zeka

Kaynakça

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