Title: EFFICIENCY ANALYSIS OF HEALTH CARE CENTERS USING DATA ENVELOPMENT ANALYSIS

Issue Number: Vol. 4, No. 1
Year of Publication: May - 2018
Page Numbers: 34-38
Authors: Hassan Najadat, Qutaibah Althebyan, Abedallah Khamaiseh, Mohammad Al-Saad and Ahmad Al Rawashdeh
Journal Name: The International Journal of E-Learning and Educational Technologies in the Digital Media (IJEETDM)
- Hong Kong
DOI:  http://dx.doi.org/10.17781/P002426

Abstract:


Efforts to produce more accountable health care organizations are an emerging global health trend. High performing organizations hold health care providers accountable for both efficiency and the quality of care provided. Increasing demands for greater accountability will require managers who focus more time and attention on ”best practices” performance measurement. For starters, managers need an approach to measure and assess, as well as benchmark their organizations’ performance against that of similar organizations. The main key idea of this paper is to propose an approach to evaluate the technical efficiency of health care centers located in Jordan. The proposed approach is based on two techniques: Data Envelopment Analysis (DEA) and Data Mining Techniques. The results showed that out of 21 Jordanian regions, 13 were efficient and 8 were not efficient. Several classifiers (J48, SMO, Nave Bayes) were used in the evaluation of the results. The obtained results showed that the J48 classifier, which represents a decision tree classifier, produced the highest accuracy in almost all experiments studied.