Loading...
Knowledge-Based Lean Six Sigma System for Enhancing Quality Management Performance in Healthcare Environment
Al Khamisi, Yousuf N. ; Khan, M. Khurshid ; Munive-Hernandez, J. Eduardo
Al Khamisi, Yousuf N.
Khan, M. Khurshid
Munive-Hernandez, J. Eduardo
Publication Date
2018
End of Embargo
Supervisor
Rights
(c) 2018 Emerald Publishing Group. Full-text reproduced in accordance with the publisher's self-archiving policy.
Peer-Reviewed
Yes
Open Access status
Accepted for publication
2018-04-05
Institution
Department
Awarded
Embargo end date
Additional title
Abstract
This paper presents the development of a Knowledge-Based System (KBS) to support the implementation of Lean Six Sigma (L6σ) principles applied to enhance Quality Management (QM) performance within a Healthcare Environment.
The process of KBS building has been started by acquiring knowledge from experts in field of L6σ and QM in healthcare. The acquired knowledge has been represented in a rule-based approach for capturing L6σ practices. These rules are produced in IF….THEN way where IF is the premise and THEN is the action. The produced rules have been integrated with Gauging Absence of Pre-requisites (GAP) technique to facilitate benchmarking of best practice in a healthcare environment. A comprehensive review of the structure of the system is given, detailing a typical output of the KBS.
Implementation of L6σ principles to enhance QM performance in a Healthcare Environment requires a pre-assessment of the organisation’s competences. The KBS provides an enhanced strategic and operational decision making hierarchy for achieving a performance benchmark.
This research presents a novel application of a hybrid KBS with GAP methodology to support the implementation of L6σ principles to enhance QM performance in a healthcare environment.
Version
Accepted Manuscript
Citation
Al Khamisi Y, Khan MK and Munive-Hernandez JE (2018) Knowledge-Based Lean Six Sigma System for Enhancing Quality Management Performance in Healthcare Environment. International Journal of Lean Six Sigma. Accepted for publication.
Link to publisher’s version
Link to published version
Link to Version of Record
Type
Article