Selecting an MRI System: A Multi Criteria Decision Making Model for MRI Technicians


Creative Commons License

Hançerlioğulları G., Çalışır C., Durucu M., Çalışır F.

International Journal of Business Analytics, cilt.5, ss.22-32, 2018 (ESCI) identifier identifier

  • Yayın Türü: Makale / Tam Makale
  • Cilt numarası: 5
  • Basım Tarihi: 2018
  • Doi Numarası: 10.4018/ijban.2018070102
  • Dergi Adı: International Journal of Business Analytics
  • Derginin Tarandığı İndeksler: Emerging Sources Citation Index (ESCI), Scopus
  • Sayfa Sayıları: ss.22-32
  • Anahtar Kelimeler: Analytic Hierarchy Process, Magnetic Resonance Imaging, Medical Decision Making, Multi-Criteria Decision Making, System Selection, ANALYTIC HIERARCHY PROCESS, PRIORITIES, IMAGE
  • İstanbul Teknik Üniversitesi Adresli: Evet

Özet

This article describes how magnetic resonance imaging (MRI)systems play a crucial role in radiology, specifically in the diagnosis of diseases and management of patient treatment. The objective of this article is to present MRI technicians’ perspective on the relative importance of the required factors when selecting and purchasing an MRIsystem. Analytic Hierarchy Process(AHP) methodology was used to determine the relative prioritiesfor different criteria along with the consistency of responses. A set of criteria for MRIsystem were identified based on the literature and interviews with experts(i.e., MRI technicians), and organized into a rational hierarchical framework consisting of the five main criteria and nineteen sub-criteria. An online survey including demographic questions was conducted to identify the relative weights of these criteria. Survey responses from 87 technicians indicate that brand is found to be the most important criteria, followed by patient comfort, usability, technical issues, and performance. Among the sub-criteria, the highest weights are assessed for country of origin, user-friendly independent workstation, reputation,software support. The findings demonstrate the factors that can be critical discriminators between different MRI systems.