SAĞLIK HİZMETLERİ ALANINDA YAPAY ZEKÂ KULLANIMININ EKONOMİK BOYUTU: BİLİMSEL YAYINLARIN BİBLİYOMETRİK HARİTALANDIRILMASI

Öz

Bu araştırmada, sağlık hizmetleri alanında yapay zekâ kullanımının ekonomik boyutuna ilişkin bilimsel yayınların bibliyometrik haritalandırılması yoluyla literatürdeki gelişim eğilimlerini analiz etmek ve alanın mevcut yapısını nicel göstergeler temelinde bütüncül bir bakış açısıyla ortaya koymak amaçlanmıştır. Bu araştırmada, 15.02.2026 tarihinde Web of Science veri tabanında belirlenen anahtar kelimelerle yapılan tarama sonucunda elde edilen 1.326 çalışma, VOSviewer programı kullanılarak bibliyometrik analiz kapsamında incelenmiştir. Bulgular, yayınların 2025 yılında yoğunlaştığını, ABD'nin en üretken ülke olduğunu ve yapay zekâ, makine öğrenimi ile derin öğrenmenin en öne çıkan araştırma konuları olduğunu göstermiştir. Ayrıca, Olga Golubnitschaja, Wang Wei ve Carl Erb konu alanında öne çıkan araştırmacılar olarak belirlenmiştir. Ayrıca, söz konusu alanın güçlü bir disiplinlerarası yapıya sahip olduğu ve araştırma üretiminin ağırlıklı olarak teknoloji odaklı olduğu ve IEEE Access, Sensors ve Nature Communications gibi yüksek etki faktörlü dergilerde yoğunlaştığı, en etkili kurumlar Stanford Üniversitesi, Singapur Ulusal Üniversitesi ve Harvard Tıp Fakültesi olmuştur; en çok atıf alan ülkeler ise ABD, Hindistan ve Çin’dir. Ayrıca, atıf performansı açısından ABD, Hindistan ve Çin’in öne çıkmıştır. Sonuçta, sağlık hizmetlerinde AI’ın ekonomik etkileri üzerine yapılan araştırmaların gelecekte de önemini koruyacağı değerlendirilmektedir.

Anahtar Kelimeler

• Yapay Zekâ
• Sağlık Hizmetleri
• Sağlık Ekonomisi
• Bibliyometrik Analiz
• VOSviewer

Destekleyen Kurum

Bu araştırmada herhangi bir kurum tarafından destek alınmamıştır.

Etik Beyan

Bu araştırmada, Web of Science veri tabanında yer alan kamuya açık, açık erişimli ve yayımlanmış çalışmaların bibliyografik verileri kullanıldığından etik kurul onayı gerekmemektedir.

Teşekkür

Yazarlar, bu makalenin değerlendirilmesine ayırdıkları değerli zaman ve katkıları için Sağlık ve Sosyal Refah Araştırmaları Dergisi editörü ve dergi ekibine teşekkür eder.

THE ECONOMIC DIMENSION OF ARTIFICIAL INTELLIGENCE USE IN HEALTHCARE: BIBLIOMETRIC MAPPING OF SCIENTIFIC PUBLICATIONS

Öz

The aim of this study is to analyze trends in the literature regarding the economic aspects of artificial intelligence use in the healthcare sector through bibliometric mapping of scientific publications and to present a comprehensive overview of the field’s current structure based on quantitative indicators. In this study, 1,326 studies obtained from a search conducted on February 15, 2026, in the Web of Science database using specified keywords were examined within the scope of bibliometric analysis using the VOSviewer program. The findings indicate that publications peaked in 2025, that the United States is the most productive country, and that artificial intelligence, machine learning, and deep learning are the most prominent research topics. Additionally, Olga Golubnitschaja, Wang Wei, and Carl Erb were identified as leading researchers in the field. Furthermore, the field was found to have a strong interdisciplinary structure, with research output being predominantly technology-focused and concentrated in high-impact-factor journals such as IEEE Access, Sensors, and Nature Communications; the most influential institutions were Stanford University, the National University of Singapore, and Harvard Medical School; and the most cited countries were the United States, India, and China. Furthermore, the United States, India, and China have stood out in terms of citation performance. Consequently, it is assessed that research on the economic impacts of AI in healthcare will continue to be important in the future.

Anahtar Kelimeler

• Artificial Intelligence
• Healthcare Services
• Health Economics
• Bibliometric Analysis
• VOSviewer

Destekleyen Kurum

This study did not receive any financial support or funding from any institution or organization.

Etik Beyan

Since this study used bibliographic data from publicly available, open-access, and published studies indexed in the Web of Science database, ethical committee approval was not required.

Teşekkür

The authors would like to thank the Editor and the Editorial Team of the Journal of Health and Social Welfare Research for their valuable time and consideration of this manuscript.

Kaynakça

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