Measuring the Impact of Healthcare Governance on Its Quality Management Using Artificial Intelligence

Yousuf Nasser Al Khamisi (), Jose Eduardo-Munive Hernandez () and Mohammed Khurshid Khan ()
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Yousuf Nasser Al Khamisi: Sultan Qaboos University, Quality Management Department
Jose Eduardo-Munive Hernandez: University of Bradford, Manufacturing Engineering Department
Mohammed Khurshid Khan: Abdul Wali Khan University Mardan

Chapter Chapter 23 in Transactions on Engineering Technologies, 2019, pp 307-315 from Springer

Abstract: Abstract Governance perspective plays a vital role in the success of Quality Management in Healthcare Environment (QMHE). In fact, QMHE has adopted and applied different quality tools and models in recent times, with some even developing their own quality-based initiatives. This paper will present an original approach of using Knowledge Based (KB) system integrated with Gauge Absence Perquisite (GAP) analysis. This approach will help to measure the effectiveness of governance body as part of the QMHE. In fact, the GAP method has been used for benchmarking the present performance with the standardized ones. The results will help healthcare practitioners to improve the governance boy’s gaps and take the correct decisions. The KB System has been validated in order to prove its ability to assess the impact of Governance on the QMHE by capturing data related to the organization’s performance. It has also shown how the rules are embedded in each module to establish relationships, and convert this data into information. The system has proven to be capable in assessing and comparing the organization’s level of performance with the QM benchmark.

Keywords: Artificial Intelligence; Benchmarking; Gauge Absence Perquisite (GAP); Healthcare Governance; Knowledge Based (KB); Quality Management in Healthcare Environment (QMHE) (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-32-9531-5_23

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DOI: 10.1007/978-981-32-9531-5_23

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