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Tıbbi görüntüleme araçları için bulut bilişim tabanlı öngörücü bakım uygulama çatısı
Date
2017-12-01
Author
Gökalp, Selin
Gökalp, Mert Onuralp
Eren, Pekin Erhan
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Nesnelerin İnterneti ve Bulut Bilişim alanlarındaki son teknolojik gelişmeler, hastanelerde sunulan sağlık hizmetlerinin kalitesinin iyileştirilmesine olanak sağlamaktadır. Bu teknolojilerden biri olan, akıllı sensör ve aktüatör teknolojilerinin hastanelerde yaygın kullanımı ile çeşitli tıbbi cihazlardan toplanan veriler sayesinde, sunulan sağlık hizmetlerinin iyileştirilmesi sağlanmaktadır. Örneğin, cihazlarda oluşacak hataları önceden görerek, bu hataların düzeltilmesini kapsayan öngörücü bakım sistemleri için biyomedikal cihazlardan toplanan veriler önemli bir potansiyele sahiptirler. Ancak, öngörücü bakım sistemlerinden azami fayda elde etmek, bakım maliyetlerini düşürmek ve sağlık hizmetlerini iyileştirilmek için Bulut Bilişim ve Nesnelerin İnterneti teknolojilerinin tıbbi görüntüleme cihazları ile entegrasyonun etkin bir şekilde gerçekleştiği bir çözüme ihtiyaç duyulmaktadır. Literatürde bu sorunu çözmek için umut verici bazı çalışmalar olmasına rağmen, günümüz bilgi çağında kullanılması için henüz yeterli olgunlukta değillerdir. Bu nedenle, bu çalışma kapsamında, temel olarak, tıbbi görüntüleme cihazları için Bulut Bilişim ve Nesnelerin İnterneti teknolojilerine dayanan bir öngörücü bakım uygulama çatısı tanımlanmıştır. Ardından, önerilen bu uygulama çatısının faydaları ve zararları tartışılmıştır.
Subject Keywords
Predictive maintenance
,
Cloud computing
,
Internet of things
,
Medical imaging devices
,
Öngörücü bakım
,
Bulut bilişim
,
Nesnelerin interneti
,
Tıbbi görüntüleme cihazları
URI
https://hdl.handle.net/11511/77615
https://dergipark.org.tr/tr/download/article-file/386988
Journal
Yönetim Bilişim Sistemleri Dergisi
Collections
Graduate School of Informatics, Article
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S. Gökalp, M. O. Gökalp, and P. E. Eren, “Tıbbi görüntüleme araçları için bulut bilişim tabanlı öngörücü bakım uygulama çatısı,”
Yönetim Bilişim Sistemleri Dergisi
, pp. 76–90, 2017, Accessed: 00, 2021. [Online]. Available: https://hdl.handle.net/11511/77615.