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RESEARCH PRODUCT

A fuzzy framework to evaluate service quality in the healthcare industry: An empirical case of public hospital service evaluation in Sicily

Toni Lupo

subject

Knowledge managementpatient satisfactionAHPComputer sciencemedia_common.quotation_subjecthealthcare service qualityAnalytic hierarchy process02 engineering and technologyFuzzy logicSERVQUALPatient satisfaction0502 economics and businessHealth care0202 electrical engineering electronic engineering information engineeringFuzzy numberQuality (business)ServQualSettore ING-IND/16 - Tecnologie E Sistemi Di Lavorazionestakeholders’ uncertaintymedia_commonService (business)Service qualitybusiness.industryService design05 social sciences020201 artificial intelligence & image processingfuzzy sets theorybusiness050203 business & managementSoftware

description

A novel fuzzy framework is considered to analyze healthcare service quality.The fundamental quality structure of healthcare service delivered in Sicily is described.The public healthcare in Sicily (Italy) is strategically analyzed.Strategic stakeholders' oriented implications for healthcare improvements are given. A novel fuzzy evaluation framework is applied in this study to evaluate service quality in the public healthcare sector. In particular, the proposed framework is based on the ServQual disconfirmation paradigm and incorporates the Analytic Hierarchy Process (AHP) method to elicit reliable estimations of service quality expectations. Moreover, degrees of uncertainty, subjectivity and vagueness on the part of stakeholders are addressed via linguistic evaluation scales parameterized by triangular fuzzy numbers. With reference to nine relevant public hospitals in the Sicilian Region (Italy), a detailed case study evaluating four core service criteria and 15 fundamental service items is conducted so as to discern dissatisfying aspects regarding the public healthcare service in the Region. Dissatisfaction reasons with the provided service are identified in the analysis as well, further demonstrating the effectiveness of the proposed approach.

https://doi.org/10.1016/j.asoc.2015.12.010