Applying Taguchi methods to health care

Int J Health Care Qual Assur Inc Leadersh Health Serv. 2006;19(1):xxvi-xxxv. doi: 10.1108/13660750610643831.

Abstract

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.

MeSH terms

  • Decision Making, Organizational
  • Decision Theory
  • Delivery of Health Care / economics
  • Delivery of Health Care / organization & administration*
  • Delivery of Health Care / standards
  • Diagnostic Errors / economics
  • Diagnostic Errors / statistics & numerical data
  • Efficiency, Organizational
  • Health Care Costs
  • Humans
  • Industry / organization & administration
  • Models, Econometric*
  • Models, Organizational*
  • Normal Distribution
  • Operations Research
  • Outcome and Process Assessment, Health Care*
  • Technology Assessment, Biomedical / economics
  • Technology Assessment, Biomedical / statistics & numerical data
  • Total Quality Management / methods*