An Output Oriented Window Analysis Using Two-stage DEA in Heart Hospitals

Between all lethal disease, heart attacks illnesses are reflected as the most prevalent. Data envelopment analysis (DEA) delivers a relative efficiency measure for peer decision-making units (DMUs) with multiple inputs and outputs. Evaluating of hospitals is one of the major applications in DEA. In this study, the output oriented is used. The window analysis model was presented as a model that is utilized to guess the Technical Efficiency (TE), pure technical efficiency (PTE), and Scale Efficiency (SE). A new-two stage DEA model is considered for efficiency evaluation of DMUs. The data covers a six-year span from 2011 to 2016 for 12 local heart hospitals. Three inputs (which is two inputs for the first stage and one for the intermediate element of a two-stage model) and two outputs are chosen and these factors reflect the main function of hospitals. Finally, actual, target and potential improvement of the smallest and largest TE, PTE, and SE average of the first hospital are compared. The system was implemented in Banxia Frontier Analyst software.