Hemşirelikte Yapay Zeka Uygulamaları: Bir Bibliyometrik Analiz

Year 2025, Volume: 8 Issue: 3, 188 - 195, 29.09.2025

Nurdan Yalçın Atar , Öznur Tuğba Çelebi Dursun

https://doi.org/10.62425/esbder.1624800

Abstract

Amaç: Bu bibliyometrik analiz, gelecekteki araştırmalara ışık tutmayı ve hemşirelikte yapay zekanın kullanımını daha geniş bir perspektiften inceleyerek yeni bir bakış açısı sunmayı amaçlamıştır.
Yöntemler: İlgili çalışmaları belirlemek için Web of Science veri tabanı kullanılmıştır. Yapay zeka, makine öğrenimi ve hemşirelik anahtar kelimelerini içeren çalışmalar (n: 32) dahil edilmiştir. Tarama sırasında İngilizce ve Türkçe dilleri filtrelenmiş ve yalnızca 2000 ile 2023 yılları arasında yayınlanan çalışmalar değerlendirilmiştir.
Bulgular: Yıllara göre 2019'da 5, 2020'de 7, 2021'de 6, 2022'de 6 ve 2023'te 5 çalışma yürütülmüştür. Çalışmanın konuları yönetim bilgi sistemleri, yoğun bakım ve onkolojidir. En üretken yazar Roschelle Fritz olarak belirlenmiştir. Journal of Management Nursing en fazla yayına sahip dergidir. Yapay zeka araştırmalarının çoğu Amerika Birleşik Devletleri'nde yürütülmüştür.
Sonuç: Son yıllardaki artışa rağmen, hemşirelikte yapay zeka uygulamalarına yönelik çalışmaların sınırlı olduğu görülmektedir. Sağlık hizmetlerindeki zorlukların üstesinden gelmek için kurumlar, yapay zekâ araştırmalarını desteklemeli ve hemşirelik eğitimine entegre etmelidir.

Keywords

Bibliyometrik analiz , hemşirelik , hemşirelik bakımı , makine öğrenmesi , yapay zeka.

Artificial Intelligence Applications in Nursing: A Bibliometric Analysis

Abstract

Objective: This bibliometric analysis aimed to shed light on future research and offer a new perspective by examining the use of artificial intelligence in nursing from a broader perspective.
Methods: The Web of Science database was used to identify the relevant studies. Studies containing the keywords "artificial intelligence", "machine learning" and "nursing" (n=32) were included. While scanning, only studies in English and Turkish were considered, and only studies published between 2000 and 2023 were evaluated.
Results: According to the publication years, 5 studies were conducted in 2019, 7 in 2020, 6 in 2021, 6 in 2022 and 5 in 2023. The main topics of the studies were management information systems, critical care, and oncology. Roschelle Fritz was identified as the most prolific author. The Journal of Nursing Management had the highest number of publications. Most artificial intelligence research in nursing has been conducted in the United States.
Conclusion: Despite the recent growth, studies on artificial intelligence applications in nursing remain limited. To address healthcare challenges, organizations should support artificial intelligence research and integrate it into nursing education to enhance innovation and improve patient care.

Keywords

Artificial intelligence , bibliometric analysis , machine learning , nursing , nursing care

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