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

In: Transactions on Engineering Technologies

Author

Listed:
  • 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)

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.

Suggested Citation

  • Yousuf Nasser Al Khamisi & Jose Eduardo-Munive Hernandez & Mohammed Khurshid Khan, 2019. "Measuring the Impact of Healthcare Governance on Its Quality Management Using Artificial Intelligence," Springer Books, in: Sio-Iong Ao & Len Gelman & Haeng Kon Kim (ed.), Transactions on Engineering Technologies, chapter 0, pages 307-315, Springer.
    • Handle: RePEc:spr:sprchp:978-981-32-9531-5_23
    DOI: 10.1007/978-981-32-9531-5_23
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