Current Debates in Clinical Decision Support Systems Research in the Field of Medical Informatics: What Text Mining Tell Us?

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Norouzpour S., Şaylan Ö. F., Damar M.

2. Ulusal Temel Bilimler, Gençlik Sempozyumu ve Bilim Sanat Şenliği 2025, İzmir, Türkiye, 21 - 22 Mayıs 2025, (Özet Bildiri)

  • Yayın Türü: Bildiri / Özet Bildiri
  • Basıldığı Şehir: İzmir
  • Basıldığı Ülke: Türkiye
  • Açık Arşiv Koleksiyonu: AVESİS Açık Erişim Koleksiyonu
  • Dokuz Eylül Üniversitesi Adresli: Evet

Özet

Current Debates in Clinical Decision Support Systems Research in the Field of Medical Informatics: What Text Mining Tell Us?

Soniya Norouzpoura, Ömer Faruk ŞAYLANb, Muhammet DAMARa

 

a Dokuz Eylul University, Faculty of Science, Department of Computer Science, Tinaztepe Campus, Buca, Izmir, Turkiye

b Ege University, Faculty of Engineering, Department of Computer Engineering, Ege University Central Gate, Bornova, Izmir, Turkiye

 

email: soniya.norouzpour.1990@gmail.com

 

Abstract

Medical informatics holds significant importance in today’s healthcare systems. At its core, it aims to enhance the quality of healthcare services by ensuring the accurate, effective, and secure utilization of health data [1]. Additionally, this field is highly interdisciplinary and plays a critical role in the software industry. Given Turkey's strong position in the health sciences, fostering deeper collaboration with computer sciences could significantly strengthen its role in this domain [2,3,4,5].This study underscores the importance of medical informatics and seeks to identify prominent discussions in clinical decision support systems research using text mining methodologies. To achieve this, we analyzed research articles published between 2000 and 2024 in the Web of Science (WoS) database, collected on March 5, 2025. The study aims to highlight the key topics emerging in the field of clinical decision support systems. This project was developed as an outcome of the TÜBİTAK 2209-A research initiative. For the literature search, the keywords “clinic decision support”* and “clinical decision support”* were used to filter the relevant articles. The study employed R Bibliometrix Biblioshiny, VOSviewer, and Python programming language with libraries such as Scikit-learn, Gensim, and Wordcloud for data analysis.The findings indicate a growing interest in clinical decision support tools in the healthcare literature over the years. While only one article was published in 2000, the number increased to 170 articles in 2024, totaling 1,431 publications in this period. Turkey contributed 15 articles, ranking 23rd in the global literature.The analysis highlights that artificial intelligence and machine learning have emerged as critical tools in clinical decision support systems in recent years. Key topics identified in the field include primary care, quality improvement, pediatrics, emergency medicine, precision medicine, clinical guidelines, and computerized physician order entry systems. Furthermore, business intelligence tools proved highly useful in implementing and processing the data in this study [6,7]. Medical informatics is an area where Turkey should aim to strengthen its position significantly [1,4,5]. Similar to the advancements in the defense industry in recent years, it is imperative to extend this progress to the health sector. To achieve this, fostering stronger collaborations with fields such as materials science, fundamental sciences, electrical-electronics engineering, and computer sciences is of critical importance. Additionally, developing national scientific policies in this area is essential. Such initiatives will not only advance Turkey’s healthcare system and establish a robust domestic market, but also enhance the country’s competitiveness in the international market with proven and innovative medical technologies.

Keywords:Medical Informatics; Health Informatics; Clinical Decision Support Systems; Decision Support; Text Mining.

 

References  

[1] Damar, M., Küme, T., Yüksel, İ., Çetinkol, A. E., Pal, J. K., & Erenay, F. S. (2024). Medical Informatics as a Concept and Field-Based Medical Informatics Research: The Case of Turkey. Duzce Medical Journal, 26(1), 44-55.

[2]  Damar, M., & Özdağoğlu, G. (2021). Yazılım sektörü ve uluslararasılaşma, politika önerileri. Editör, Ömer Aydın & Çağdaş Cengiz. Teknoloji ve Uluslararası İlişkiler. Nobel Yayıncılık: Ankara.

[3]  Damar, M. (2022). Dijital Dünyanın Dünü, Bugünü Ve Yarını: Bilişim Sektörünün Gelişimi Üzerine Değerlendirme. Nevşehir Hacı Bektaş Veli Üniversitesi Sbe Dergisi, 12(Dijitalleşme), 51-76.

[4]  Damar, M., Özdağoğlu, G., & Özveri, O. (2020). Üniversitelerde Dönüşüm Süreci ve Araştırma Üniversitesi Yaklaşımı. Uluslararası Medeniyet Çalışmaları Dergisi, 5(2), 135-159.

[5]  Damar, M., Özdağoğlu, G., & Özveri, O. (2020). Bilimsel üretkenlik bağlamında dünya sıralama sistemleri ve Türkiye’deki üniversitelerin mevcut durumu. Üniversite Araştırmaları Dergisi, 3(3), 107-123.

[6] Damar, M, Özdağoğlu, G., & Saso, L. (2022). Designing a business intelligence-based monitoring platform for evaluating research collaborations within university networks: the case of UNICA - the Network of Universities from the Capitals of Europe. Information Research, 27(4), paper 945. 

[7] Celik, B., Damar, M., Bilik, O., Ozdagoglu, G., Ozdagoglu, A., & Damar, H. T. (2023). Scientometric analysis of nursing research on hip fracture: trends, topics, and profiles. Acta Paulista de Enfermagem, 36, eAPE026132.

 

 

* This study was supported by the TÜBİTAK 2209-A program.