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Performance evaluation of the hospital services - a fuzzy analytic hierarchy process model

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  • K.R. Sinimole

Abstract

Healthcare sector is a complex area unique in all its characteristics. Due to its multi dimensional nature it is very difficult to approach the measurement of the performance of healthcare by using any one method. Healthcare sector is evaluated by three categories of measurement namely, structure, process and outcome. The structure of a healthcare unit is assessed by the human and material resources available. But, process of healthcare units is difficult to measure by specific metrics, even though it is considered as the primary aspect of assessment among the measures of quality. Fuzzy analytic hierarchy process (AHP) can be used to evolve such a model. The conventional AHP method is incapable of handling the uncertainty and vagueness involved in the mapping of one's preference to an exact number or ratio. In recent years it has been observed that due to confusion in the decision makers mind, probable deviations should be integrated to the decision making process. The fuzzy model can deal with this incapability by allowing metrics that can assess intangible factors. This paper has tried to develop a fuzzy AHP model to evaluate the healthcare sector.

Suggested Citation

  • K.R. Sinimole, 2012. "Performance evaluation of the hospital services - a fuzzy analytic hierarchy process model," International Journal of Productivity and Quality Management, Inderscience Enterprises Ltd, vol. 10(1), pages 112-130.
    • Handle: RePEc:ids:ijpqma:v:10:y:2012:i:1:p:112-130
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    Citations

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    Cited by:

    1. Concetta Manuela La Fata & Toni Lupo & Tommaso Piazza, 2019. "Service quality benchmarking via a novel approach based on fuzzy ELECTRE III and IPA: an empirical case involving the Italian public healthcare context," Health Care Management Science, Springer, vol. 22(1), pages 106-120, March.
    2. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    3. Sun-Weng Huang & James J. H. Liou & Hai-Hua Chuang & Gwo-Hshiung Tzeng, 2021. "Using a Modified VIKOR Technique for Evaluating and Improving the National Healthcare System Quality," Mathematics, MDPI, vol. 9(12), pages 1-21, June.
    4. Jagdish Bhadu & Pramod Kumar & Jaiprakash Bhamu & Dharmendra Singh, 2022. "Lean production performance indicators for medium and small manufacturing enterprises: modelling through analytical hierarchy process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(2), pages 978-997, April.

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