Medical Resource Allocation Based on Undesirable Outputs DEA Model

W. Li, Yingxiong Fu, Yi-gong Sun, Weiguo Chen
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Abstract

Since the reform and opening up, with the rapid development of the economy, China's medical undertakings have made great progress. However, various problems such as the insufficient overall investment of medical resources, unreasonable structure, and imbalanced distribution have gradually emerged. Therefore, how to use limited health resources to solve the problems of fairness and efficiency in the allocation process is an important subject in medical and health care research. Because of the above deficiencies, this paper uses the DEA model to analyze and redistribute the medical data of 31 provinces in China.
基于不良产出DEA模型的医疗资源配置
改革开放以来,随着经济的快速发展,中国的医疗事业取得了长足的进步。但是,医疗资源整体投入不足、结构不合理、分布不均衡等问题也逐渐显现出来。因此,如何利用有限的卫生资源解决分配过程中的公平和效率问题是医疗卫生研究的重要课题。鉴于上述不足,本文采用DEA模型对中国31个省份的医疗数据进行分析和再分配。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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