Version 1
: Received: 10 April 2024 / Approved: 10 April 2024 / Online: 10 April 2024 (09:57:29 CEST)
How to cite:
Wang, W.; Huang, M.; Ou, Y. An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing. Preprints2024, 2024040716. https://doi.org/10.20944/preprints202404.0716.v1
Wang, W.; Huang, M.; Ou, Y. An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing. Preprints 2024, 2024040716. https://doi.org/10.20944/preprints202404.0716.v1
Wang, W.; Huang, M.; Ou, Y. An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing. Preprints2024, 2024040716. https://doi.org/10.20944/preprints202404.0716.v1
APA Style
Wang, W., Huang, M., & Ou, Y. (2024). An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing. Preprints. https://doi.org/10.20944/preprints202404.0716.v1
Chicago/Turabian Style
Wang, W., Mei-Ling Huang and Yen-Chuan Ou. 2024 "An Approach to Evaluate Healthcare Service Quality by Incorporating Linguistic Assessment and Computing" Preprints. https://doi.org/10.20944/preprints202404.0716.v1
Abstract
The quality of healthcare services is a very important indicator of social welfare in developed and emerging countries. Good quality levels are critical to ensuring patient safety, improving health outcomes, increasing patient satisfaction, optimizing resource utilization, and meeting regulatory requirements. The stable and sustainable operation of medical institutions urgently requires the establishment of a reliable and effective medical quality performance evaluation platform. However, the complexity of the evaluation process, involving numerous evaluators and the consideration of different subjective and objective criteria, poses significant challenges and essentially constitutes a group multi-criteria decision-making problem. This article uses the overall medical environment of the institution, medical service attitude, medical security, administrative service measures, etc. as measurement standards to deal with this challenge. It proposes a medical service quality measurement model suitable for both qualitative and quantitative analysis. In view of the heterogeneity of information, the two-tuple fuzzy language calculation method is introduced to enable evaluators to skillfully manage diverse information and effectively avoid potential information omission problems in the subjective evaluation integration process. The effectiveness and feasibility of the model were demonstrated by applying it to the operational framework of a medical institution in central Taiwan.
Keywords
Healthcare service quality; 2-tuple representation; heterogeneity; fuzzy linguistic computing; group multi-criteria decision-making
Subject
Engineering, Industrial and Manufacturing Engineering
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
