Data Envelopment Analysis (DEA) for the evaluation of Public Healthcare Structures.

As stated in the Economist Intelligence Unit report (2011), the failure to
develop a coherent plan of action in health care systems is linked to deeprooted problems related to the organization of health care structures. These problems form the starting point of this work: the aim of the present study is to develop the potential of a Data Envelopment Analysis (DEA) Model creating a non-parametric pattern for evaluating the eciency of healthcare structures in a south-eastern region of Italy. A non-parametric pattern allows for weighting dierent variables even in the presence of a particularly complex structure, such as that of healthcare systems. The results will provide some indications for health decision and policy makers, in order to improve accountability in the eld of Social Responsibility, of particular relevance in this moment.

根据经济学人智库（Economist Intelligence Unit）2011年的报告，医疗保健系统未能制定连贯的行动计划，这与医疗保健结构组织层面的根深蒂固问题密切相关。此类问题构成本研究的出发点：本研究旨在挖掘数据包络分析（Data Envelopment Analysis，DEA）模型的应用潜力，构建非参数分析范式，用以评估意大利东南部地区医疗保健结构的运行效率。非参数范式即便面对医疗保健系统这类高度复杂的结构场景，也可实现对不同变量的加权赋值。本研究结果将为医疗决策与政策制定者提供决策参考，以提升社会责任领域的问责性，而这在当前阶段尤为关键。