Dang D K, Pont J M, Portmoy M A
Symmetry Health Data Systems, Inc., Phoenix, AZ, USA.
Med Interface. 1996 Apr;9(4):122-8.
The episode treatment group (ETG) methodology is a case-mix adjustment and episode-building system that uses routinely collected claims data. The resulting 558 clinically homogeneous groups adjust for severity by the presence of complicating conditions, comorbidities, and other characteristics of a patient's condition that affect resource utilization. The groups identify both complete and incomplete episodes in addition to those episodes which, from a cost perspective, are either low or high outliers. As a grouping ¿engine,¿ the user controls the amount and format of the claims data as input, providing essentially unlimited provider profiling, demand analysis, disease management, and capitation and predictive modeling possibilities.
发作治疗组（ETG）方法是一种病例组合调整和发作构建系统，它使用常规收集的索赔数据。由此产生的558个临床同质组通过复杂病情、共病以及影响资源利用的患者病情的其他特征来调整严重程度。这些组除了识别从成本角度来看是低或高异常值的发作外，还识别完整和不完整的发作。作为一个分组“引擎”，用户可以控制作为输入的索赔数据的数量和格式，从而提供基本上不受限制的医疗服务提供者概况分析、需求分析、疾病管理以及人头费和预测建模的可能性。
