The Role of Artificial Intelligence in Home Care Services: A Bibliometric Analysis

Hakan Işık; Selda Palabıyık

Makale detayları

The Role of Artificial Intelligence in Home Care Services: A Bibliometric Analysis

Yazarlar:

Hakan Işık | Selda Palabıyık

Yayıncı:

Giresun University

Ana Başlıklar:

Evde Bakım Hizmetleri

Dergi:

Doğu Karadeniz Sağlık Bilimleri Dergisi Vol.4 Issue 2, pp.123-138

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001355477

pISSN:

2822-6445

Anahtar kelimeler:

Özet:

 Aim: This study aims to examine the role of artificial intelligence technologies in home care services and the development of academic literature in this field through a bibliometric analysis method. Methods: The data of the study were selected from the Web of Science WoS database on 1 April 2025 among the publications between January 2014 and March 2025. Within the scope of bibliometric analysis, 735 publications were identified as a result of searches with the keywords home care and artificial intelligence. These publications were evaluated using performance analysis and scientific mapping techniques through VOSviewer software. Results: Research results show that there has been a major increase in the focus on AI-based solutions, especially in the post-COVID-19 period. As a result, the integration of AI and ML in home care services; concepts such as artificial intelligence, machine learning and telemedicine according to keyword studies are not only the subject of study, but also key elements in the digital transformation of home care services. Conclusion: This study makes an important contribution to understanding the transformative potential of AI in home care services and the future directions of research in this field. It is recommended that future research should address the literature more comprehensively by combining different databases and integrating methods such as meta-analysis.

 Aim: This study aims to examine the role of artificial intelligence technologies in home care services and the development of academic literature in this field through a bibliometric analysis method. Methods: The data of the study were selected from the Web of Science WoS database on 1 April 2025 among the publications between January 2014 and March 2025. Within the scope of bibliometric analysis, 735 publications were identified as a result of searches with the keywords home care and artificial intelligence. These publications were evaluated using performance analysis and scientific mapping techniques through VOSviewer software. Results: Research results show that there has been a major increase in the focus on AI-based solutions, especially in the post-COVID-19 period. As a result, the integration of AI and ML in home care services; concepts such as artificial intelligence, machine learning and telemedicine according to keyword studies are not only the subject of study, but also key elements in the digital transformation of home care services. Conclusion: This study makes an important contribution to understanding the transformative potential of AI in home care services and the future directions of research in this field. It is recommended that future research should address the literature more comprehensively by combining different databases and integrating methods such as meta-analysis.

 Aim: This study aims to examine the role of artificial intelligence technologies in home care services and the development of academic literature in this field through a bibliometric analysis method. Methods: The data of the study were selected from the Web of Science WoS database on 1 April 2025 among the publications between January 2014 and March 2025. Within the scope of bibliometric analysis, 735 publications were identified as a result of searches with the keywords home care and artificial intelligence. These publications were evaluated using performance analysis and scientific mapping techniques through VOSviewer software. Results: Research results show that there has been a major increase in the focus on AI-based solutions, especially in the post-COVID-19 period. As a result, the integration of AI and ML in home care services; concepts such as artificial intelligence, machine learning and telemedicine according to keyword studies are not only the subject of study, but also key elements in the digital transformation of home care services. Conclusion: This study makes an important contribution to understanding the transformative potential of AI in home care services and the future directions of research in this field. It is recommended that future research should address the literature more comprehensively by combining different databases and integrating methods such as meta-analysis.

 Amaç: Bu çalışma, yapay zekâ teknolojilerinin evde bakım hizmetlerindeki rolünü ve bu alandaki akademik literatürün gelişimini bibliyometrik bir analiz yöntemiyle incelenmesi amacıyla yapılmıştır. Yöntem: Araştırmanın verileri, 1 Nisan 2025 tarihinde Web of Science WoS veri tabanından Ocak 2014  Mart 2025 yılları arasındaki yayınlar arasından seçilmiştir. Bibliyometrik analiz kapsamında, home care ve artificial intelligence anahtar sözcükleriyle yapılan aramalar sonucunda 735 yayın tespit edilmiştir. Bu yayınlar, VOSviewer yazılımı aracılığıyla performans analizi ve bilimsel haritalama teknikleri kullanılarak değerlendirilmiştir. Bulgular: Araştırma sonuçları, özellikle COVID-19 sonrası dönemde YZ tabanlı çözümlere odaklanmada büyük bir artış olduğunu göstermektedir. Bu eğilim, yayın sayısında ve işbirlikçi yapıların büyümesinde görülmektedir.Sonuç olarak, YZnın ve MLnin evde bakım hizmetlerinde entegrasyonu; anahtar kelime çalışmalarına göre yapay zeka, makine öğrenimi ve teletıp gibi kavramlar yalnızca çalışma konusu olmakla kalmayıp, aynı zamanda evde bakım hizmetlerinin dijital dönüşümünde de temel unsurlardır. Sonuç: Bu çalışma, yapay zekânın evde bakım hizmetlerindeki dönüştürücü potansiyelini ve bu alandaki araştırmaların gelecekteki yönelimlerini anlamaya yönelik önemli bir katkı sunmaktadır. Gelecekteki araştırmaların farklı veritabanlarını birleştirerek ve meta-analiz gibi yöntemleri entegre ederek literatürü daha kapsamlı bir şekilde ele alması önerilir.

Makale detayları

The Role of Artificial Intelligence in Home Care Services: A Bibliometric Analysis

Yazarlar:

Hakan Işık | Selda Palabıyık

Yayıncı:

Giresun University

Ana Başlıklar:

Evde Bakım Hizmetleri

Dergi:

Doğu Karadeniz Sağlık Bilimleri Dergisi Vol.4 Issue 2, pp.123-138

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001355477

pISSN:

2822-6445

Artificial Intelligence

Home Care

Machine Learning

Bibliometric AnalysisYapay Zeka

Evde Bakım

Makine Öğrenimi

Bibliyometrik Analiz

Sayı

Makale detayları

Yazarlar: Hakan Işık | Selda Palabıyık

Yayıncı: Giresun University

Ana Başlıklar: Evde Bakım Hizmetleri

Dergi: Doğu Karadeniz Sağlık Bilimleri Dergisi Vol.4 Issue 2, pp.123-138

Belge Tipi: Makale

Yayın Tarihi: 7/2025

Belge Dili: Türkçe

Document ID (Org No.): 2001355477

pISSN: 2822-6445

Sayı

Yazarlar:

Hakan Işık | Selda Palabıyık

Yayıncı:

Giresun University

Ana Başlıklar:

Evde Bakım Hizmetleri

Dergi:

Doğu Karadeniz Sağlık Bilimleri Dergisi Vol.4 Issue 2, pp.123-138

Belge Tipi:

Makale

Yayın Tarihi:

7/2025

Belge Dili:

Türkçe

Document ID (Org No.):

2001355477

pISSN:

2822-6445