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- W2049454003 abstract "Because of the trade-off between e-Health Lean and Six Sigma, their independent implementation does not ensure the optimality of patient-centric service deliver in e-Health architectures. There is a significant gap in the current research literature to utilize the optimal Lean and Six Sigma alignment in e-Health architectures. Therefore, this paper develops a fuzzy group bi-objective medical informatics decision support framework to optimize Lean and Six Sigma alignment in the identification of e-health reference architecture. As The e-Health architecture is made up of the best-practice e-Health modules and layers, a fuzzy group bi-objective Linear Programming technique for Multidimensional Analysis of Preference (LINMAP) is presented: (1) to demonstrate conformity of core modules and layers of e-Health architectures with Lean criteria and Six Sigma criteria; and (2) to optimize the strategic Lean and Six Sigma alignment and identify e-Health reference architecture." @default.
- W2049454003 created "2016-06-24" @default.
- W2049454003 creator A5017322252 @default.
- W2049454003 date "2013-08-01" @default.
- W2049454003 modified "2023-09-28" @default.
- W2049454003 title "Identification of e-Health reference architecture using a bi-objective medical informatics decision support framework: the optimal lean and six sigma alignment" @default.
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- W2049454003 doi "https://doi.org/10.1080/12460125.2013.797329" @default.
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