Abstract
Given the need to acquire magnetic resonance imaging equipment through public tender, and to objectify the decision-making process, which takes into account multiple variables, a mathematical model has been developed based on the use of the analytic hierarchy process multicriteria analysis method, the linear weighting method, and the use of indicators to compare offers. For this purpose, a hierarchy of evaluating criteria to aid in selection processes has been defined and compared by a multidisciplinary team consisting of engineers, medical imaging specialists, lawyers, and economists who collaboratively developed and obtained a criteria prioritization scheme. Within this scheme, suppliers' offers were evaluated through indicators and then weighted accordingly to obtain a numerical ranking. The method has turned out to be applicable in evaluating and selecting highly complex biomedical technology and provides a hierarchical ranking of offers based on a numerical priority that considers multiple criteria. In the fast-growing market of medical technology, this method improves evaluative processes that depend on multiple criteria and helps institutions reduce risk when making decisions.
Published Version
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