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dc.contributor.authorAl Khamisi, Y.N.
dc.contributor.authorKhan, M. Khurshid
dc.contributor.authorMunive-Hernandez, J. Eduardo
dc.date.accessioned2020-11-25T15:46:00Z
dc.date.accessioned2020-12-07T08:24:33Z
dc.date.available2020-11-25T15:46:00Z
dc.date.available2020-12-07T08:24:33Z
dc.date.issued2019-10-16
dc.identifier.citationAl Khamisi YN, Khan MK and Munive-Hernandez JE (2019) The design of a knowledge-based system for quality management in healthcare: Case study. International Journal of Advanced Operations Management. 11(4): 257-274.en_US
dc.identifier.urihttp://hdl.handle.net/10454/18201
dc.descriptionYesen_US
dc.description.abstractThe current healthcare systems have numerous gaps that need to be filled to reach the best practice. This paper presents a novel approach to design and validate a hybrid knowledge-based system (KBS) to evaluate QM of healthcare environment (QMHE) using a hybrid system that has not been used before. It will be combined with gauge absence perquisite (GAP) method to sustain a successful operation of the large number of key performance indicators (KPIs) that involved in QMHE and to detect the gap between each KPI and the anticipated point. Out of 354 KB rules answered, the system has categorised 225 as GPs and the remaining 128 as BPs. The 128 bad points are categorised into different problem categories (20 PC-1, 34 PC-2, 34 PC-3, 40 PC-4, and 0 PC-5) where they represent the actions that need to be enhanced to reach the desired level of quality management.en_US
dc.language.isoenen_US
dc.rights(c) 2019 Inderscience Publishers. This is an Open Access article distributed under the Creative Commons CC-BY-ND license (https://creativecommons.org/licenses/by-nd/4.0/)en_US
dc.subjectGAPen_US
dc.subjectKnowledge-based systemen_US
dc.subjectKBSen_US
dc.subjectQuality management in healthcare environmenten_US
dc.subjectQMHEen_US
dc.subjectGauging absence pre-requisitesen_US
dc.subjectOmanen_US
dc.titleThe design of a knowledge-based system for quality management in healthcare: Case studyen_US
dc.status.refereedYesen_US
dc.typeArticleen_US
dc.type.versionAccepted manuscripten_US
dc.identifier.doihttps://doi.org/10.1504/IJAOM.2019.103144
dc.date.updated2020-11-25T15:46:01Z
refterms.dateFOA2020-12-07T08:25:24Z
dc.date.accepted2018-10-11


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