Identification of e-Health reference architecture using a bi-objective medical informatics decision support framework: the optimal lean and six sigma alignment

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 alignmen...

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Vydané v:Journal of decision systems Ročník 22; číslo 3; s. 202 - 223
Hlavný autor: Zandi, Faramak
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: Paris Routledge 01.01.2013
Lavoisier
Taylor & Francis Ltd
Predmet:
Applied sciences
Biological and medical sciences
Computer architecture
Computerized medical documentation
Computerized, statistical medical data processing and models in biomedicine
Decision support systems
Decision theory. Utility theory
e-Health reference architecture
Electronic health records
Exact sciences and technology
Firm modelling
Fuzzy Group Bi-Objective LINMAP Model
Health informatics
Lean manufacturing
Linear programming
Medical Informatics Decision Support Framework
Medical sciences
Operational research and scientific management
Operational research. Management science
optimal Lean and Six Sigma alignment
Six Sigma
System architecture
Lean production
Decision support system
Decision making
Web service
Linear group
Linear programming
Conformity
Modeling
Fuzzy Group Bi-Objective LINMAP Model
e-Health reference architecture
Fuzzy logic
Alignment
Quality assurance
Multidimensional analysis
Telemedicine
Preference
optimal Lean and Six Sigma alignment
Medical Informatics Decision Support Framework
Medical application
Public health
ISSN:1246-0125, 2116-7052
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Shrnutí: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.
Bibliografia:SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 14
ISSN:1246-0125
2116-7052
DOI:10.1080/12460125.2013.797329