TIBBİ GÖRÜNTÜLEME ARAÇLARI İÇİN BULUT BİLİŞİM TABANLI ÖNGÖRÜCÜ BAKIM UYGULAMA ÇATISI

Year 2017, Volume: 3 Issue: 2, 76 - 90, 20.12.2017

Selin Çoban Mert Onuralp Gökalp Ebru Gökalp P. Erhan Eren

Abstract

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. 

Keywords

Öngörücü Bakım, Bulut Bilişim, Nesnelerin İnterneti, Tıbbi Görüntüleme Cihazları

CLOUD COMPUTING BASED PREDICTIVE MAINTENANCE FRAMEWORK FOR MEDICAL IMAGING DEVICES

Abstract

Recent technological
advancements in Internet of Things (IoT) and Cloud Computing domains, enable
improving quality of health services in hospitals. The widespread use of smart
sensor and actuator technologies in hospitals allow us to improve healthcare
services by collecting data from various medical devices. Therefore, hospitals
grasp noteworthy potential to convert these collected data into valuable
information for predictive maintenance of biomedical devices. However, in order
to obtain maximum benefit from the predictive maintenance system to reduce
maintenance costs and improve healthcare services, a well-integrated solution
is needed to combine cloud computing and IoT technologies with medical imaging
devices. Despite some promising efforts in this area to solve this problem,
they are not sufficient to be used in the information era. Thus, in this study,
we primarily focus on the problem of how to define a predictive maintenance
framework for medical imaging devices based on cloud computing and IoT
technologies. Then, we identify
the benefits and challenges of the proposed predictive maintenance framework.

Keywords

Predictive Maintenance, Cloud Computing, Internet of Things, Medical Imaging Devices

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