A Roadmap to Evaluate Lean Six Sigma E-Health Reference Architectures Using a Fuzzy Group Bi-Objective LINMAP

نویسندگان

  • Faramak Zandi
  • Andrew S. Borchers
چکیده

Purpose: In recent years, although several studies have focused on Lean Six Sigma project selection, none of them have applied a Lean Six Sigma approach to evaluate e-health reference architectures. Therefore, there is a significant gap of Lean Six Sigma application for e-Health architectures in e-Health care quality improvement literature. In this paper, we present a Lean Six Sigma approach to select e-health reference architectures for high-quality healthcare in modern medicine. Design/methodology/approach: At first, a novel model is presented to evaluate core e-Health modules and layers of e-Health reference architectures from a Six Sigma perspective. Then, the proposed model is used to evaluate core e-Health modules and layers of e-Health reference architectures from a Lean perspective. In order to overcome issues related to imprecise or vague judgments in, the proposed e-Health decision making model is presented in the fuzzy environment. Findings: Findings from this paper develop the Linear Programming techniques for Multidimensional Analysis of preference (LINMAP) model to a Fuzzy Group bi-objective LINMAP to integrate Lean and Six Sigma perspectives and select the best practice Lean Six Sigma e-Health reference architecture.

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تاریخ انتشار 2012