Trends and Current Topics in Artificial Intelligence in Nursing Research: A Bibliometric Analysis and Science Mapping

Ayşe Çiçek Korkmaz

Makale detayları

Trends and Current Topics in Artificial Intelligence in Nursing Research: A Bibliometric Analysis and Science Mapping

Yazarlar:

Ayşe Çiçek Korkmaz

Yayıncı:

Balıkesir University

Ana Başlıklar:

Hemşirelik Eğitimi | Hemşirelik İşgücü | Hemşirelikte Yönetim | Hemşirelik (Diğer)

Dergi:

Balıkesir Sağlık Bilimleri Dergisi Vol.13 Issue 2, pp.324-338

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001325728

pISSN:

2146-9601

Anahtar kelimeler:

Özet:

 Objective: As AIs role in nursing grows, it is vital to understand its impact and challenges. Using bibliometric analysis, this study aimed to identify and examine the prevailing trends and current topics in artificial intelligence research within nursing. Materials and Methods: This was a retrospective bibliometric study. Study data were collected from WoSCC on August 08, 2023. Analyses were made through science mapping, Microsoft Excel, and VOSviewer. Results: The study included 316 publications dated 1984-2023. There was a rapid increase in publications and citations from 2018-2023. Related publications were made by 1148 authors. The journal CIN-Computers, Informatics, Nursing emerged as the most frequently published and cited journal. Fifty-three countries contributed to the publications, of which 45.2 were produced in the USA. The current topics were patient safety, depression, ChatGPT, and Chatbot in recent years. Conclusion: This bibliometric study shows a synergy between the general policies of countries on artificial Intelligence in recent years and the increasing number of publications in the last four years. However, this study also reveals that research on artificial intelligence in nursing is a nascent field. Managers and research nurses should lead the use of AI applications in nursing services management and nursing training and should encourage research on the topic. Key Words: Artificial Intelligence, Nursing, Bibliometric Analysis, Research Trends, VOSviewer.

 Objective: As AIs role in nursing grows, it is vital to understand its impact and challenges. Using bibliometric analysis, this study aimed to identify and examine the prevailing trends and current topics in artificial intelligence research within nursing. Materials and Methods: This was a retrospective bibliometric study. Study data were collected from WoSCC on August 08, 2023. Analyses were made through science mapping, Microsoft Excel, and VOSviewer. Results: The study included 316 publications dated 1984-2023. There was a rapid increase in publications and citations from 2018-2023. Related publications were made by 1148 authors. The journal CIN-Computers, Informatics, Nursing emerged as the most frequently published and cited journal. Fifty-three countries contributed to the publications, of which 45.2 were produced in the USA. The current topics were patient safety, depression, ChatGPT, and Chatbot in recent years. Conclusion: This bibliometric study shows a synergy between the general policies of countries on artificial Intelligence in recent years and the increasing number of publications in the last four years. However, this study also reveals that research on artificial intelligence in nursing is a nascent field. Managers and research nurses should lead the use of AI applications in nursing services management and nursing training and should encourage research on the topic. Key Words: Artificial Intelligence, Nursing, Bibliometric Analysis, Research Trends, VOSviewer.

 Objective: As AIs role in nursing grows, it is vital to understand its impact and challenges. Using bibliometric analysis, this study aimed to identify and examine the prevailing trends and current topics in artificial intelligence research within nursing. Materials and Methods: This was a retrospective bibliometric study. Study data were collected from WoSCC on August 08, 2023. Analyses were made through science mapping, Microsoft Excel, and VOSviewer. Results: The study included 316 publications dated 1984-2023. There was a rapid increase in publications and citations from 2018-2023. Related publications were made by 1148 authors. The journal CIN-Computers, Informatics, Nursing emerged as the most frequently published and cited journal. Fifty-three countries contributed to the publications, of which 45.2 were produced in the USA. The current topics were patient safety, depression, ChatGPT, and Chatbot in recent years. Conclusion: This bibliometric study shows a synergy between the general policies of countries on artificial Intelligence in recent years and the increasing number of publications in the last four years. However, this study also reveals that research on artificial intelligence in nursing is a nascent field. Managers and research nurses should lead the use of AI applications in nursing services management and nursing training and should encourage research on the topic. Key Words: Artificial Intelligence, Nursing, Bibliometric Analysis, Research Trends, VOSviewer.

 Amaç: Bu çalışmada, bibliyometrik analiz kullanarak hemşirelik alanındaki yapay zekâ araştırmalarındaki mevcut eğilimleri ve güncel konuları belirlemeyi ve incelemeyi amaçlanmıştır. Gereç ve Yöntem: Bu retrospektif bibliyometrik bir çalışmadır. Araştırmanın verileri 08 Ağustos 2023 tarihinde Web of Science Core Collection WoSCC veri tabanından toplanmıştır. Verilerin analizinde bilimsel haritalama analizi yapılmış ve Microsoft Excel ve VOSviewer programları kullanılmıştır. Bulgular: Çalışma, 1984-2023 tarihleri arasında 316 yayını kapsamaktadır. 2018-2023 yılları arasında yayın ve atıflarda hızlı bir artış görülmüştür. İlgili yayınlar 1148 yazar tarafından yapılmıştır. CIN-Computers, Informatics, Nursing dergisi, en çok yayınlanan ve alıntılanan dergi olarak öne çıkmıştır. Elli üç ülke bu yayınlara katkıda bulunmuş, bunların 45.2si ABDde üretilmiştir. Son yıllarda güncel konular son yıllarda hasta güvenliği, depresyon, ChatGPT ve Chatbot olmuştur. Sonuç: Bu bibliyometrik çalışma, son yıllarda ülkelerin yapay zekâ konusunda belirledikleri genel politikalar ile son dört yılda artan yayın sayısı arasında bir sinerji oluştuğunu göstermektedir. Bununla birlikte, yapay zekâ çalışmalarının hemşirelik alanında yeni ve henüz kuluçka döneminde bir alan olduğunu ortaya koymaktadır. Yönetici ve araştırmacı hemşireler yapay zekâ uygulamalarının hemşirelik hizmetleri yönetiminde ve hemşirelik eğitiminde kullanımına yönelik önderlik etmeli ve konuyla ilgili araştırmaların yapılmasını teşvik etmelidir Anahtar Kelimeler: Yapay Zekâ, Hemşirelik, Bibliyometrik Analiz, Araştırma Trendleri, VOSviewer.

Makale detayları

Trends and Current Topics in Artificial Intelligence in Nursing Research: A Bibliometric Analysis and Science Mapping

Yazarlar:

Ayşe Çiçek Korkmaz

Yayıncı:

Balıkesir University

Ana Başlıklar:

Hemşirelik Eğitimi | Hemşirelik İşgücü | Hemşirelikte Yönetim | Hemşirelik (Diğer)

Dergi:

Balıkesir Sağlık Bilimleri Dergisi Vol.13 Issue 2, pp.324-338

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001325728

pISSN:

2146-9601

Artificial Intelligence

Nursing

Bibliometric Analysis

Research Trends

VOSviewerYapay Zekâ

Hemşirelik

Bibliyometrik Analiz

Araştırma Trendleri

VOSviewer

Sayı

Makale detayları

Yazarlar: Ayşe Çiçek Korkmaz

Yayıncı: Balıkesir University

Ana Başlıklar: Hemşirelik Eğitimi | Hemşirelik İşgücü | Hemşirelikte Yönetim | Hemşirelik (Diğer)

Dergi: Balıkesir Sağlık Bilimleri Dergisi Vol.13 Issue 2, pp.324-338

Belge Tipi: Makale

Yayın Tarihi: 8/2024

Belge Dili: İngilizce

Document ID (Org No.): 2001325728

pISSN: 2146-9601

Sayı

Yazarlar:

Ayşe Çiçek Korkmaz

Yayıncı:

Balıkesir University

Ana Başlıklar:

Hemşirelik Eğitimi | Hemşirelik İşgücü | Hemşirelikte Yönetim | Hemşirelik (Diğer)

Dergi:

Balıkesir Sağlık Bilimleri Dergisi Vol.13 Issue 2, pp.324-338

Belge Tipi:

Makale

Yayın Tarihi:

8/2024

Belge Dili:

İngilizce

Document ID (Org No.):

2001325728

pISSN:

2146-9601