AI Article Synopsis
- The study aims to create an evaluation model for dynamic data acquisition methods in medical imaging equipment using the Analytic Hierarchy Process (AHP).
- It develops an evaluation index system that considers factors like data reliability, interactivity, and application scalability, breaking them down into 5 primary, 14 secondary, and 38 tertiary indexes.
- The resulting model provides a qualitative and quantitative assessment framework, assigning weight percentages for various criteria, with reliability receiving the highest weight at 30%, and offers a basis for evaluating dynamic data acquisition technologies in medical settings.
Article Abstract
Objective: To 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.
Methods: Through 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.
Results: A 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.
Conclusion: We 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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| http://dx.doi.org/10.12455/j.issn.1671-7104.240071 | DOI Listing |
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