Author:
Ghafari Someh Niloufar,Pishvaee Mir Saman,Sadjadi Seyed Jafar,Soltani Roya
Abstract
Purpose
Assessing the performance of medical laboratories plays an important role in the quality of health services. However, because of imprecise data, reliable results from laboratory performance cannot be obtained easily. The purpose of this paper is to illustrate the use of interval network data envelopment analysis (INDEA) based on sustainable development indicators under uncertainty.
Design/methodology/approach
In this study, each medical diagnostic laboratory is considered as a decision-making unit (DMU) and an INDEA model is used for calculating the efficiency of each medical diagnostic laboratory under imprecise inputs and outputs. The proposed model helps provide managers with effective performance scores for deficiencies and business improvements. The proposed model with realistic efficiency scores can help administrators manage their deficiencies and ultimately improve their business.
Findings
The results indicate that uncertainty can lead to changes in performance scores, rankings and performance classifications. Therefore, the use of DEA models under certainty can be potentially misleading.
Originality/value
The contribution of this study provides useful insights into the use of INDEA as a modeling tool to aid managerial decision-making in assessing efficiency of medical diagnostic laboratories based on sustainable development indicators under uncertainty.
Subject
Management Science and Operations Research,Strategy and Management,General Decision Sciences
Reference81 articles.
1. A dataset of healthcare systems for cross-efficiency evaluation in the presence of flexible measure;Data in Brief,2019
2. The impact of new public management on efficiency: an analysis of Madrid’s hospitals;Health Policy,2014
3. Applying simulation and DEA to improve performance of emergency department in a Jordanian hospital;Simulation Modelling Practice and Theory,2014
4. DEA window analysis for assessing efficiency of blistering process in a pharmaceutical industry;Neural Computing and Applications,2018
5. Development of intuitionistic fuzzy super-efficiency slack based measure with an application to health sector;Computers and Industrial Engineering,2018
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献