Sağlık İletişimi ve Yapay Zekâ Kesişimindeki Yayınların Bibliyometrik İncelemesi

Year 2024, , 66 - 90, 28.04.2024

Mesut Ersin Sönmez

https://doi.org/10.31123/akil.1428134

Abstract

Pandemi küresel anlamda her alanı etkilemiş ve insanlık için acı tecrübeler yaşatmıştır. Pandemi dönemi ve sonrasını kapsayan 2019-2023 yılları arasında, yapay zekâ (AI) teknolojilerinin sağlık iletişimine olan etkilerinin belirlenmesi doğru bilgilendirme ve sağlık hizmetlerinin iyileştirilmesi açısından kritik önem taşımaktadır. AI teknolojilerinin sağlık iletişiminde nasıl kullanıldığı ve bu kullanımın sağlık hizmetleri, hastalık gözetimi, salgın izleme ve hasta eğitim materyalleri gibi alanlarda yarattığı dönüşümler incelenmiştir. Bu çalışmada, AI tekniklerinin sağlık verilerinin analizi, tıbbi görüntüleme ve sağlık bilgisinin yayılmasında nasıl etkili olduğunu tartışılmıştır. Yapılan bibliyometrik analiz, sağlık iletişimi ve yapay zekâ konularında yapılan çalışmaları derinlemesine incelenerek, bu alanların karakteristiklerini ve gelişim süreçlerini aydınlatılmaya çalışılmıştır. Literatürdeki yayınların niceliksel dağılımı ve etki düzeyleri değerlendirilerek, araştırma alanının tarihsel ve güncel eğilimleri ortaya konulmuştur. Sonuç bölümünde, Yapay zekânın sağlık iletişimi alanında önemli bir evrim geçirdiği ve bu teknolojilerin devam eden gelişiminin sağlık alanında yenilik ve ilerlemeye yol açacağı belirtilmiştir. Bu teknolojik ilerlemelerin sağlık hizmetlerinin kalitesini artırma, halka sağlık bilgisi sunma ve sağlıklı karar alma süreçlerini destekleme potansiyeline sahip olduğu vurgulanmıştır.

Keywords

Sağlık İletişimi, Yapay Zekâ, Makine Öğrenmesi, Web of Science, Bibliyometrik Analiz

Bibliometric Analysis of Publications at the Intersection of Health Communication and Artificial Intelligence

Abstract

The pandemic has globally affected every aspect and has brought painful experiences to humanity. During and after the pandemic period, covering the years 2019-2023, determining the impacts of artificial intelligence (AI) technologies on health communication is of critical importance for accurate information dissemination and improvement of health services. This study has examined how AI technologies are utilized in health communication and the transformations they have brought in areas such as health services, disease surveillance, epidemic monitoring, and patient education materials. It discusses how AI techniques are effective in analyzing health data, medical imaging, and the dissemination of health information. The bibliometric analysis conducted deeply investigates the works done in health communication and artificial intelligence, aiming to illuminate the characteristics and development processes of these fields. The quantitative distribution and impact levels of publications in the literature have been evaluated, highlighting the historical and current trends of the research area. In the conclusion, it is noted that AI has undergone significant evolution in the field of health communication, and the ongoing development of these technologies will lead to innovation and progress in health. These technological advancements are emphasized for their potential to enhance the quality of health services, provide health information to the public, and support healthy decision-making processes

Keywords

Health Communication, Artificial Intelligence, Machine Learning, Web of Science, Bibliometric Analysis

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