Employing post-dea method in budget management of health care sectors

An increasing attention has been paid to efficiency analysis in the health care area. Among the existing efficiency assessment techniques, data envelopment analysis (DEA) plays an important role in a wide range of applications as for measuring the relative efficiency of different health care sectors. This paper focuses on a second stage of the analysis, which is operated after efficiency evaluation and called as post-DEA stage, and mainly cope with the budget management problems such as budget allocation and budget prediction. In the post-DEA stage, a comprehensive DEA based techniques are adopted to make the budget prediction and allocation based on the outcome of the first stage. A framework of budget management from macro aspect is built, together with corresponding resource allocation and prediction models proposed from micro aspect. The effect of the post-DEA method is illustrated by a numerical example with considering 10 hospitals, and with considering elasticity in post-DEA method, the outcome leads to an efficiency incentive effect in budget management.