Huang Y G
Department of Health Policy and Management, College of Public Health, University of South Florida, Tampa 33612.
J Med Syst. 1989 Jun;13(3):155-62. doi: 10.1007/BF00995886.
Unlike conventional methods for evaluating program efficiency, a recently developed mathematical programming technique, Data Envelopment Analysis (DEA), is able to handle multiple inputs and outputs simultaneously without assigning arbitrary weights and does not require the use of homogeneous measurement units nor a prespecified functional relationship between inputs and outputs. Despite of its unfamiliarity to health care researchers and administrators, this technique is becoming increasingly popular as a means of evaluating relative performance in not-for-profit entities.
与评估项目效率的传统方法不同，一种最近开发的数学规划技术——数据包络分析（DEA），能够同时处理多个输入和输出，而无需分配任意权重，也不需要使用同类测量单位，也不需要输入和输出之间有预先指定的函数关系。尽管医疗保健研究人员和管理人员对这种技术并不熟悉，但作为一种评估非营利性实体相对绩效的方法，这种技术正变得越来越受欢迎。
