Kavramsal Olarak Tıbbi Bilişim ve Alan Bazlı Tıp Bilişimi Araştırmaları: Türkiye Örneği

Year 2024, Volume: 26 Issue: 1, 44 - 55, 30.04.2024

Muhammet Damar , Tuncay Küme , İbrahim Yüksel , Ali Emre Çetinkol , Jiban K. Pal , Fatih Safa Erenay

https://doi.org/10.18678/dtfd.1410276

Abstract

Amaç: Bu çalışmada, Tıp Bilişimi araştırmalarını bibliyometrik yöntemler ile analiz ederek Türkiye'nin Tıp Bilişimi alanındaki konumunu ve araştırma genel yapısını değerlendirmeyi amaçlanmıştır.
Gereç ve Yöntemler: Bu çalışmada, R bibliyometrix ve VosViewer aracılığı ile Web of Science bibliyometrik veri kaynağından 1980 ile 2023 yılları arasında üretilen araştırma ve derleme türündeki makaleler bibliyometrik yöntemler ile analiz edilmiştir.
Bulgular: Türkiye tıp bilişimi araştırma alanında, 1980 ile 2023 yılları arasında yapılan bibliyometrik analize göre, 905 makale, 15610 atıf ve ilgili makalelere verilen 17,25 atıf ortalaması, 51 gibi yüksek bir etki değeri ile 27. sırada yer almaktadır. İlgili alanda öne çıkan kurumlar arasında, Ortadoğu Teknik Üniversitesi, Hacettepe Üniversitesi ve Selçuk Üniversitesi bulunmaktadır. Öne çıkan araştırma konuları arasında yoğun araştırma alanlarını yansıtan "sinir ağları, makine öğrenimi, destek vektörü, sağlık hizmetleri, karar desteği, derin öğrenme, EEG sinyalleri, sınıflandırma doğruluğu" yer almaktadır.
Sonuç: Türkiye’de tıp bilişimi uzmanlık alanı temel mühendislik bilimlerine veya tıp bilimlerine göre biraz daha geride kalmıştır. Alanın bilgisayar bilimleri, yazılım mühendisliği, endüstri mühendisliği, yapay zekâ mühendisliği ve elektronik mühendisliği gibi pek çok farklı mühendislik alanı ile kesişen multidisipliner bir dokusu mevcuttur. Bu alanda daha etkin üretkenlik için alanın diğer araştırma alanları ile daha fazla ilişkiye geçilebilir. Ayrıca tıp bilişimi veya sağlık bilişimine ilişkin ivedi olarak dört yıllık lisans programlarının üniversitelerde kurulması önerilmektedir.

Keywords

Türkiye, Tıp Bilişimi, Bilimsel Üretkenlik, Bibliyometri, Atıf Analizi

Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey

Abstract

Aim: This study aimed to evaluate the position of Turkey in the field of Medical Informatics and assess the general structure of research by analyzing Medical Informatics research with bibliometric methods.
Material and Methods: In this study, we conducted a bibliometric analysis of research and review articles generated between 1980 and 2023 from the Web of Science bibliometric data source, utilizing bibliometric methods through the R bibliometrix tool and VosViewer.
Results: In the field of medical informatics research in Turkey, the country holds the 27th position with 905 articles, 15,610 citations, and an impressive impact factor of 51, along with an average citation rate of 17.25 per article, based on bibliometric analysis conducted between 1980 and 2023. Notable institutions in this field include Middle East Technical University, Hacettepe University, and Selçuk University. The prominent research topics encompass "neural network(s), machine learning, support vector, health care, decision support, deep learning, EEG signals, classification accuracy," reflecting the areas of intensive investigation.
Conclusion: In Turkey, the field of medical informatics has lagged slightly behind basic engineering sciences or medical sciences. The domain exhibits a multidisciplinary structure intersecting with various engineering fields such as computer science, software engineering, industrial engineering, artificial intelligence engineering, and electronic engineering. To enhance productivity in this field, greater collaboration with other research areas can be pursued. Additionally, it is recommended to urgently establish four-year undergraduate programs specifically dedicated to medical informatics or health informatics at universities.

Keywords

Turkey, Medical informatics, Scientific productivity, Bibliometrics, Citation analysis

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