Özet
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Bu inceleme, dünyada yan dal uzmanlaşmasının güncel durumu, gelişim dinamikleri, yarattığı sorunları incelemek ve olası çözüm yollarını tartışmak amacını taşımaktadır. Çalışma, tıpta yan dal uzmanlaşmasının tarihsel gelişimi ve güncel yapılanmasına ilişkin narratif bir derleme olarak tasarlanmıştır. Literatür taramasında PubMed, Scopus ve Google Akademik veri kaynaklarından yararlanılmıştır. Ek olarak, Dünya Sağlık Örgütü (DSÖ), Ekonomik İşbirliği ve Kalkınma Örgütü (OECD), Avrupa Tıp Uzmanları Birliği (UEMS), Accreditation Council for Graduate Medical Education (ACGME), American Board of Medical Specialties (ABMS) tarafından yayımlanan veya erişime açılan kurumsal belgeler, raporlar ve güncel listeler incelenmiştir. Dünya'daki yan dal uzmanlaşması ile ilgili değerlendirme ülkeler bazında değil DSÖ ülkeler sınıflandırmasına göre yapılmıştır. Yan dal uzmanlaşması dünyanın tüm bölgelerinde artmaktadır. Ancak bu süreç ülkelerin ekonomik, teknolojik olanakları, sağlık sistemi organizasyonu gibi faktörlere bağlı olarak farklı örüntüler göstermektedir. Çalışmada küresel ölçekte üç temel model tanımlanmıştır: 1. Yüksek gelirli ülkelerde görülen aşırı uzmanlaşmış sistemler, 2. Daha dengeli ve düzenli Avrupa tipi sistemler ve 3. Düşük/orta gelirli ülkelerde görülen sınırlı yan dal yapılanmaları. Yan dal uzmanlaşması yalnızca bilimsel bilgi artışı ile değil; teknolojik, ekonomik, akademik, demografik ve yapay zekâya bağlı etkenler dolayısıyla da gelişmektedir. Yeni alanlar, klasik ağaç tipi uzmanlık modelinden ağsal ve fraktal-benzeri yapılara geçişi göstermektedir. Yan dal uzmanlaşması çeşitli alanlarda mortalite ve morbiditeyi azaltan önemli katkılar sağlamıştır. Ancak hasta bakımında parçalanma, genelci hekimliğin zayıflaması, maliyet artışı, coğrafi eşitsizlikler ve bilişsel daralma gibi sorunlara yol açmaktadır. Çözüm olarak entegre bakım modelleri, güçlü birinci basamak sistemi, multidisipliner ekipler, yetkinlik temelli eğitim, modüler uzmanlık yapıları ve yapay zekâ destekli entegrasyon sistemleri önerilmektedir.
Summary
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This review aims to examine the current state of subspecialization worldwide, its development dynamics, the problems it creates, and to discuss possible solutions. This study is designed as a narrative review of the historical development and current structure of subspecialty training in medicine. PubMed, Scopus, and Google Scholar were used as data sources in the literature search. In addition, institutional documents, reports, and current lists published or made accessible by the World Health Organization (WHO), the Organization for Economic Cooperation and Development (OECD), the European Union of Medical Specialists (UEMS), the Accreditation Council for Graduate Medical Education (ACGME), the American Board of Medical Specialties (ABMS) The evaluation of subspecialty training in countries was conducted according to the WHO country classification, not on a country-by-country basis. Subspecialty training is increasing in all regions of the world. However, this process shows different patterns depending on factors such as the economic and technological capabilities of in the world and the organization of their healthcare systems. In the study, three basic models were identified on a global scale: overspecialized systems seen in high-income countries, more balanced and regulated European-type systems, and limited subspecialty structures seen in low/middle-income countries. Subspecialty development is developing not only due to the increase in scientific knowledge but also due to technological, economic, academic, demographic, and artificial intelligence-related factors. New fields show a shift from the classic tree-type specialty model to network-like and fractal-like structures. Subspecialty development has made significant contributions to reducing mortality and morbidity in various fields. However, it leads to problems such as fragmentation in patient care, weakening of general medicine, increased costs, geographical inequalities, and cognitive limitations. As a solution, integrated care models, a strong primary care system, multidisciplinary teams, competency-based training, modular specialty structures, and artificial intelligence-supported integration systems are proposed.
Anahtar Sözcükler / Keywords
Kaynaklar / References
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Geliş Tarihi / Received Date
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10.05.2026
Kabul Tarihi / Accepted Date
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12.06.2026
