4.5 Article

Healthcare Sustainability Evaluation Using a Hybrid Fuzzy Multi-Criteria Decision-Making Model

Journal

INTERNATIONAL JOURNAL OF FUZZY SYSTEMS
Volume 24, Issue 2, Pages 1182-1202

Publisher

SPRINGER HEIDELBERG
DOI: 10.1007/s40815-021-01128-4

Keywords

Healthcare systems; Sustainable development; Performance evaluation; Medical centers; Fuzzy logic

Funding

  1. Projekt DEAL

Ask authors/readers for more resources

The article suggests a new method for analyzing the sustainability indicator in healthcare systems by collecting attributes and criteria from different dimensions, which can obtain the sustainability level of healthcare systems in uncertain conditions and identify weak points while collecting fundamental data.
Developing a sustainable healthcare system directly depends on the level of maturity in environmental, social, and economic practices. Although there are huge number of researches considering environmental, social, and economic aspects, to the best of our knowledge, no approach was found which unifies these dimensions as an integrated method to assess the current status of sustainable development in healthcare organizations. In order to cope with this gap, this article suggests a method for analyzing the sustainability indicator in healthcare systems by manipulating the sustainability dimensions, criteria, and attributes. The following research has collected 62 attributes and 15 criteria for three sustainability dimensions. A new implementation method is also proposed to make this approach applicable in real-world problems. The contributions of this paper can be distinguished as the healthcare system's sustainability level in imprecise conditions is obtained, the capability of identifying the weak points in implementing sustainability aspects is presented, and a new methodology for collecting the fundamental data for measuring the sustainability level in healthcare systems is given. The findings of this paper assist the practitioners and experts to successfully evaluate the sustainability level of healthcare systems and significantly improve the performance of them.

Authors

I am an author on this paper
Click your name to claim this paper and add it to your profile.

Reviews

Primary Rating

4.5
Not enough ratings

Secondary Ratings

Novelty
-
Significance
-
Scientific rigor
-
Rate this paper

Recommended

No Data Available
No Data Available