CHAPTER


DOI :10.26650/B/ET07.2023.005.01   IUP :10.26650/B/ET07.2023.005.01    Full Text (PDF)

Big Data in Health and Knowledge Management

Eda ÇevikSevinç Gülseçen

Since the first day of humanity, technology has been an important concept that separates the history of the Earth into periods and has been mentioned with energy or raw materials such as stone, metal, earth, steam, electricity. In the age of Industry 4.0, which its birth is witnessed, Big Data Technologies and data play key roles. Many technologies developed to meet the needs of disciplines such as health sciences, astronomy, computational biology and high energy physics have been the subject of research under the name of Big Data Technologies. The technologies required for storing, capturing, improving, searching, sharing, transferring, analyzing and visualizing big data with qualities such as volume, speed and diversity, called Big Data Ecosystem, have the potential to transform every field in which it is applied. These technologies are behind the birth of the field of Precision Medicine, which aims to plan personalized treatment such as gene therapy, which is the hope for the treatment of hereditary diseases and to examine the relationship of infectious diseases that threaten public health. Just as it is necessary to manage the process of obtaining products from raw materials in production enterprises, in the same way, information production must be managed in order to create a health system that focuses on information. The beginning of keeping patient records electronically, the digitalization of the outputs of imaging devices such as x-rays, developments in the field of genetics and even social media have created a data explosion and increased the need for Information Management. And it has led to the development of the applied discipline of Health Information Management, which deals with the collection, analysis and dissemination of information flowing from medical practice, medical education, medical research activities.In this study, Knowledge Management, Big Data theoretical fields and Big Health Data, Health Knowledge Management applied disciplines are tried to be explained.


DOI :10.26650/B/ET07.2023.005.01   IUP :10.26650/B/ET07.2023.005.01    Full Text (PDF)

Büyük Sağlık Verisi ve Bilgi Yönetimi

Eda ÇevikSevinç Gülseçen

Teknoloji insanlığın ilk gününden beri Dünya tarihini dönemlere ayıran önemli kavram olmuştur ve her dönem taş, metal, toprak, buhar, elektrik gibi bir enerji ya da hammadde ile birlikte anılmıştır. Doğumuna şahit olduğumuz Endüstri 4.0 çağında ise Büyük Veri Teknolojileri ve veri kilit rol oynamaktadırlar. Sağlık bilimleri, astronomi, hesaplamalı biyoloji, yüksek enerji fiziği gibi disiplinlerin ihtiyaçlarını karşılaşmak için geliştirilen birçok teknoloji Büyük Veri Teknolojileri adıyla araştırmalara konu olmuştur. Büyük Veri Ekosistemi olarak adlandırılan, hacim, hız, çeşitlilik gibi vasıflara sahip büyük verinin depolanması, yakalanması, iyileştirilmesi, aranması, paylaşılması, aktarılması, analizi ve görselleştirilmesi için gerekli teknolojiler uygulandığı her alanı dönüştürme potansiyeline sahiptir. Bu teknolojiler, kalıtsal hastalıkların tedavisine umut olan gen tedavisi gibi kişiye özel tedavi planlamayı ve halk sağlığını tehdit eden bulaşıcı hastalıkların ilişkisini incelemeyi amaçlayan Hassas Tıp alanının doğuşunun arkasındadır. Nasıl ki üretim işletmelerinde ham maddeden ürün elde etme sürecinin yönetilmesi gerekiyorsa, aynı şekilde bilgiyi merkezine alan bir sağlık sistemi oluşturmak için bilgi üretiminin de yönetilmesi gerekmektedir. Hasta kayıtlarının elektronik ortamda tutulmaya başlanması, röntgen gibi görüntüleme cihazlarının çıktılarının dijitalleşmesi, genetik alanındaki gelişmeler ve hatta sosyal medya veri patlaması yaratmış ve Bilgi Yönetimi alanına olan ihtiyacı arttırarak, tıbbi uygulama, tıp eğitimi, tıbbi araştırma faaliyetlerinden akan bilgilerin toplanması, analiz edilmesi ve yayılmasını konu edinen Sağlık Bilgi Yönetimi uygulamalı disiplininin gelişmesine sebep olmuştur. Bu çalışmada Bilgi Yönetimi, Büyük Veri teorik alanları ve Büyük Sağlık Verisi, Sağlık Bilgi Yönetimi uygulamalı disiplinleri açıklanmaya çalışılmıştır. 



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