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dc.contributor.advisorKhan, M. Khurshid
dc.contributor.advisorMunive-Hernandez, J. Eduardo
dc.contributor.authorAl Khamisi, Yousuf N.K.
dc.date.accessioned2019-11-14T14:37:44Z
dc.date.available2019-11-14T14:37:44Z
dc.identifier.urihttp://hdl.handle.net/10454/17451
dc.description.abstractTo improve their services and maintain patients’ satisfaction, healthcare organisations have adopted and applied different quality tools and models in recent times, with some even developing their own quality-based initiatives. For example, the approach of Lean Six Sigma (L6σ) has recently been gradually and slowly implemented in healthcare institutions. However, the nature and complexity of healthcare environment which directly impact on humans require leaders to carefully apply appropriate Quality Management (QM) systems suitable for this critical environment. The aim of this research project is to develop a Knowledge Based System (KBS) to assist healthcare managers and practitioners during decision-making process in the context of achieving excellent benchmark and action plans prioritisation. The system will be built based on a conceptual framework for Quality Management in Healthcare Environment (QMHE) which will be modified into a model. The KBS will be developed from this model with the integration of Gauging Absence of Pre-requisite (GAP) method for benchmarking and Analytical Hierarchy Process (AHP) method for prioritisation. The contribution of this research is the use of KBS with GAP and AHP to develop an integrated Knowledge-Based Lean Six Sigma (KB-L6σ) in QMHE. This will accomplish the necessities of investigating quality problems and recommend suitable solutions according to international best practices. It will use a systematic approach that can be applied multiple times, follow defined steps to secure consistency in the approach and integrate different healthcare management levels to maintain strategic decision-making alignment. It consists of 964 KB rules that have been produced via a knowledge acquisition process from the literature and interviewing experts in the field of QM and L6σ in healthcare environment. Feedback from conferences and system testing were used for the verification of the model, whilst validation was carried out through three case studies implementation at three tertiary hospitals in Oman. The analysis of using the KB system in these hospitals has shown clearly that the developed system is a consistent and reliable methodology for assisting decision-makers in designing, planning, and implementing L6σ for QMHE.en_US
dc.language.isoenen_US
dc.publisherUniversity of Bradforden_US
dc.rights<a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/"><img alt="Creative Commons License" style="border-width:0" src="http://i.creativecommons.org/l/by-nc-nd/3.0/88x31.png" /></a><br />The University of Bradford theses are licenced under a <a rel="license" href="http://creativecommons.org/licenses/by-nc-nd/3.0/">Creative Commons Licence</a>.eng
dc.subjectQuality Management in Healthcare Environmenten_US
dc.subjectQMHEen_US
dc.subjectKnowledge based systemsen_US
dc.subjectLean Six Sigmaen_US
dc.subjectL6σen_US
dc.subjectGauge absence pre-requisitesen_US
dc.subjectAnalytical hierarchy processen_US
dc.titleThe Development of a Hybrid Knowledge-Based System for Lean Six Sigma Implementation in Healthcare Environment: The Development of a Hybrid Knowledge-Based (KB)/Gauging Absence of Pre-Requisites (GAP)/Analytical Hierarchy Process (AHP) Model for Implementing Lean Six Sigma System in Healthcare Environmenten_US
dc.type.qualificationleveldoctoralen_US
dc.publisher.institutionUniversity of Bradfordeng
dc.publisher.departmentFaculty of Engineering and Informaticsen_US
dc.typeThesiseng
dc.type.qualificationnamePhDen_US
dc.date.awarded2018
refterms.dateFOA2019-11-14T14:37:44Z


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