This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
In this paper, the efficiency of Tehran hospital emergency departments is measured using Data Envelopment Analysis (DEA) when undesirable input and output factors are present. As traditional DEA models cannot directly handle undesirable factors, this research has overcome this limitation through a redefined framework. The proposed approach first determines the production possibility set under the given problem assumptions. Then it develops a new DEA model to evaluate Decision Making Unit (DMU) efficiency, taking into account the impact of undesirable factors on the efficiency frontier. The utilization of the model with real data from Tehran Hospital's emergency departments confirms the need to account for undesirable factors when measuring efficiency and developing improvement plans. This research helps measure emergency department efficiency and manage unwanted factors.
Null