Comparing the efficiency of hospitals encourages transparency, and better policymaking and helps to raise the standard of healthcare provided. In our study, we measure the efficiency of Italian hospitals using the data envelop analysis (DEA) method and the classification and regression tree (CART) to discover the most critical parameters affecting efficiency. Hospitals with more disciplines are more efficient than those with fewer, and large hospitals are typically more efficient. Furthermore, we examine the efficiency of different Italian provinces. We concluded that most Italian provinces have comparable efficiency scores, so the Italian healthcare system is more balanced at the upper level.

Amlashi, S.T., Gitto, S. (2023). The Efficiency of Italian Hospitals Using Data Envelopment Analysis (DEA) and Classification Tree. In Towards a Smart, Resilient and Sustainable Industry Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 (pp.286-295). Cham : Springer [10.1007/978-3-031-38274-1_24].

The Efficiency of Italian Hospitals Using Data Envelopment Analysis (DEA) and Classification Tree

Gitto S.
2023-01-01

Abstract

Comparing the efficiency of hospitals encourages transparency, and better policymaking and helps to raise the standard of healthcare provided. In our study, we measure the efficiency of Italian hospitals using the data envelop analysis (DEA) method and the classification and regression tree (CART) to discover the most critical parameters affecting efficiency. Hospitals with more disciplines are more efficient than those with fewer, and large hospitals are typically more efficient. Furthermore, we examine the efficiency of different Italian provinces. We concluded that most Italian provinces have comparable efficiency scores, so the Italian healthcare system is more balanced at the upper level.
2023
9783031382734
9783031382741
Amlashi, S.T., Gitto, S. (2023). The Efficiency of Italian Hospitals Using Data Envelopment Analysis (DEA) and Classification Tree. In Towards a Smart, Resilient and Sustainable Industry Proceedings of the 2nd International Symposium on Industrial Engineering and Automation ISIEA 2023 (pp.286-295). Cham : Springer [10.1007/978-3-031-38274-1_24].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11365/1274694