AI Summary & Key Takeaways
AI InsightAs a result of the analysis, the most in the "Health Sciences" category, the least in the "Computer and Artificial Intelligence" category; at most in “2021”, at least in “2011”; at most “Research Papers”, at least “Review” type; studies are financed mostly by the “European Commission” and at least by the “Netherlands Organization For Health Research And Development” funding agency; most studies were conducted in the “United States” and the least in “Spain”; It was concluded that the most cited study was “What is e-health?” and the least cited study was “External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges”.
📌 3 Key Takeaways
Abstract
This study was conducted to determine the trend of research in the field of e-health. In the study, studies on e-health published between 05-12-1999 and 05-12-2022 in the Web of Science database were examined. 2854 “e-health” (e-health) studies in the database were evaluated with bibliometric analysis. As a result of the analysis, the most in the "Health Sciences" category, the least in the "Computer and Artificial Intelligence" category; at most in “2021”, at least in “2011”; at most “Research Papers”, at least “Review” type; studies are financed mostly by the “European Commission” and at least by the “Netherlands Organization For Health Research And Development” funding agency; most studies were conducted in the “United States” and the least in “Spain”; It was concluded that the most cited study was “What is e-health?” and the least cited study was “External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges”. The findings serve as a guide for future research in the field of e-health.
Özet
Bu çalışma e-sağlık alanında yapılan araştırmaların eğilimini belirlemek amacıyla yapılmıştır. Araştırmada Web of Science veri tabanında 05-12-1999 ile 05-12-2022 tarihleri arasında yayımlanan e-sağlık (e-health) ile ilgili çalışmalar incelenmiştir. Veri tabanında yer alan 2854 “e-health” (e-sağlık) başlıklı çalışma bibliyometrik analiz ile değerlendirilmiştir. Analiz sonucunda en fazla “Sağlık Bilimleri” kategorisinde, en az “Bilgisayar ve Yapay Zeka” kategorisinde; en fazla “2021” yılında, en az “2011” yılında; en fazla “Araştırma Makalesi”, en az “Derleme” türünde; çalışmaların en fazla “European Commission”, en az “Netherlands Organization For Health Research And Development” finansman ajansı tarafından finanse edildiği; en fazla çalışmanın “Amerika Birleşik Devletleri”, en az çalışmanın “İspanya” da yapıldığı; en fazla atıf alan çalışmanın “What is e-health?”, en az atıf alan çalışmanın “External validation of clinical prediction models using big datasets from e-health records or IPD meta-analysis: opportunities and challenges” adlı çalışma olduğu sonuçlarına ulaşılmıştır. Bulgular e-sağlık alanında yapılacak gelecek araştırmalara rehber niteliği taşımaktadır.