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Applying Taguchi methods to health care
1Institute of Biomedical Engineering, Bogazici University, Istanbul, Turkey. totaner@hotmail.com
Purpose:
The aim of this article is to show how Taguchi methods can be applied to health care.
Design/Methodology/Approach:
The quadratic loss function is at the heart of Taguchi methods. It is a powerful motivator for a quality strategy and can be used to adequately model the loss to society in health care. It also establishes a relationship between cost and variability. Therefore, it can be integrated with the performance and parameters of the design of medical applications. Signal-to-noise ratios give a sense of how close is the performance to the ideal. By maximizing the signal-to-noise ratio, quality-engineering activities can be aimed at identifying near-optimum levels of factors and making quality equal to zero.
Findings:
This article shows that, when the patients' requirements are consistently met, lower losses can provide an impetus to improve patient satisfaction.
Originality/Value:
The article outlines areas in health care where Taguchi methods can easily be applied.
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