A simple mathematical model has been developed to identify and prioritize medical equipment in need of replacement. The model contains a total of ten attributes addressing four primary replacement issues: equipment service and support; equipment function; cost benefits; and clinical efficacy. Sensitivity to incomplete or subjective data is significantly reduced through the use of a “yes-no” (0,1) scoring scheme. Decision-making validity does not appear to be compromised with such a technique. When tested on a sample of 146 medical devices in five different categories, the model recommended that two devices be replaced within the existing fiscal year and eight in the following year, and that fifteen devices be placed in an advisory category. The model's recommendations appear to be compatible with existing subjective criteria.

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