It is evident that DEA is a non-parametric method which is based solely on the observed input-output combinations of the units in the sample without any assumptions concerning the form of the production function. The term Data Envelopment Analysis (DEA) was introduced by Charnes et al.  in their paper in 1978 which was based on the previous relevant research of Farell (1957) . The method has been used in numerous sectors, including healthcare in which its first applications date back to the1980s [26–27]. An advantage of the method is its ability to handle multiple inputs as well as multiple outputs, without the requirement of a common denominator of reference.