An integrated evaluation for the performance of clinical engineering department / Ahmed Mohammed Yousry ; Supervised Ayman Mohamed Eldeib , Bassem Kamal Ouda
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TextLanguage: English Publication details: Cairo : Ahmed Mohammed Yousry , 2015Description: 197 P. ; 30cmOther title: - تقييم متكامل لأداء الإدارة الهندسية الاكلينية [Added title page title]
- Issued also as CD
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قاعة الرسائل الجامعية - الدور الاول | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2015.Ah.I (Browse shelf(Opens below)) | Not for loan | 01010110066959000 | ||
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مخـــزن الرســائل الجـــامعية - البدروم | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.13.03.M.Sc.2015.Ah.I (Browse shelf(Opens below)) | 66959.CD | Not for loan | 01020110066959000 |
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| Cai01.13.03.M.Sc.2015.Ah.A Automatic detection of retinal fundus images features for detection of diabetic retinopathy / | Cai01.13.03.M.Sc.2015.Ah.A Automatic detection of retinal fundus images features for detection of diabetic retinopathy / | Cai01.13.03.M.Sc.2015.Ah.I An integrated evaluation for the performance of clinical engineering department / | Cai01.13.03.M.Sc.2015.Ah.I An integrated evaluation for the performance of clinical engineering department / | Cai01.13.03.M.Sc.2015.Al.D Dynamic model for evaluation of medical devices maintenance in developing countries / | Cai01.13.03.M.Sc.2015.Al.D Dynamic model for evaluation of medical devices maintenance in developing countries / | Cai01.13.03.M.Sc.2015.Ay.D Decoding finger movement from ECoG signal using switching linear regression models / |
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Systems and Biomedical Engineering
Performance benchmarking has become a very important component in all successful organizations nowadays that must be used by clinical engineering department (CED) in hospitals. Many researchers identified essential mainstream performance indicators needed to improve the CED's performance. These studies revealed mainstream performance indicators that use the database of a CED to evaluate its performance [1 - 3]. In this work, we believe that those indicators are insufficient for hospitals. Additional important indicators should be involved to improve the evaluation accuracy. Therefore, we added new indicators: technical/maintenance indicators, economic indicators, intrinsic criticality indicators, basic hospital indicators, equipment acquisition, and safety indicators. Data is collected from 10 hospitals that cover different types of healthcare organizations. We developed a software tool that analyses collected data to provide a score for each CED under evaluation. Our results indicate that there is an average gap of 67% between the CEDs{u2019} performance and the ideal target. The reasons for the noncompliance are discussed in order to improve performance of CED under evaluation
Issued also as CD
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