Research on Evaluation System of Medical Imaging Equipment Dynamic Acquisition Technology Based on Multiple Criteria Decision Analysis
ObjectiveTo construct an evaluation model system for dynamic data acquisition methods of medical imaging equipment in hospitals. The analytic hierarchy process (AHP) of the multiple criteria decision analysis method is used to study the model. MethodsThrough multi-criteria decision analysis, the eva...
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Main Authors: | , , |
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Format: | Article |
Language: | zho |
Published: |
Editorial Office of Chinese Journal of Medical Instrumentation
2024-11-01
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Series: | Zhongguo yiliao qixie zazhi |
Subjects: | |
Online Access: | https://zgylqxzz.xml-journal.net/article/doi/10.12455/j.issn.1671-7104.240071 |
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Summary: | ObjectiveTo construct an evaluation model system for dynamic data acquisition methods of medical imaging equipment in hospitals. The analytic hierarchy process (AHP) of the multiple criteria decision analysis method is used to study the model. MethodsThrough multi-criteria decision analysis, the evaluation index system of dynamic data acquisition technology of medical imaging equipment is constructed from aspects such as the reliability and traceability of data acquisition, the interactivity of the acquisition mode, and the extensibility of application analysis. ResultsA hierarchical evaluation model of dynamic acquisition technology for medical imaging equipment is constructed, which includes 5 primary indexes, 14 secondary indexes, and 38 tertiary indexes. ConclusionWe have constructed a qualitative and quantitative evaluation index for the dynamic acquisition technology of medical imaging equipment. The weight of the quantitative index "reliability" is 30%, and the weights of the qualitative indexes "security", "traceability", "interactivity", and "scalability" are 25%, 20%, 15%, and 10% respectively. It can be used to study the methods and technical characteristics of three kinds of dynamic data acquisition of medical equipment and form a technical evaluation scheme for dynamic data acquisition. |
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ISSN: | 1671-7104 |