Ranking and Evaluating CT Departments by Quality Function Deployment | Zendy

Mohammed Shrief | Zendy; Walid AlAtabany | Zendy; Mohamed T. El-Wakad | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Ranking and Evaluating CT Departments by Quality Function Deployment

Author(s) -

Mohammed Shrief,

Walid AlAtabany,

Mohamed T. El-Wakad

Publication year - 2015

Publication title -

international journal of computer applications

Language(s) - English

Resource type - Journals

ISSN - 0975-8887

DOI - 10.5120/ijca2015907353

Subject(s) - computer science , ranking (information retrieval) , software deployment , function (biology) , quality (philosophy) , quality function deployment , information retrieval , medical physics , software engineering , operations management , medicine , philosophy , value engineering , epistemology , evolutionary biology , economics , biology

Rankings have a great value in providing necessary information to take the appropriate decision in various fields. In the healthcare sector, ranking systems have a vital and important role in the development of each hospital. The aim of this paper is to design mathematical ranking model based on quantitative parameters and sub parameters using quality function deployment to rank the computed tomography (CT) departments in hospitals. The proposed model is based on parameters extracted from both the hospitals and the CT scan devices. The output of the system from 30 different hospitals has been compared with experts’ opinions showing an average error of 2.04 % ±1.9%.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research