Zeng Xiaoming, Bell Paul D
Department of Health Services and Information Management, College of Allied Health Sciences at East Carolina University in Greenville, NC.
Perspect Health Inf Manag. 2011;8(Summer):1b. Epub 2011 Apr 1.
In this study, we report on a qualitative method known as the Delphi method, used in the first part of a research study for improving the accuracy and reliability of ICD-9-CM coding. A panel of independent coding experts interacted methodically to determine that the three criteria to identify a problematic ICD-9-CM subcategory for further study were cost, volume, and level of coding confusion caused. The Medicare Provider Analysis and Review (MEDPAR) 2007 fiscal year data set as well as suggestions from the experts were used to identify coding subcategories based on cost and volume data. Next, the panelists performed two rounds of independent ranking before identifying Excisional Debridement as the subcategory that causes the most confusion among coders. As a result, they recommended it for further study aimed at improving coding accuracy and variation. This framework can be adopted at different levels for similar studies in need of a schema for determining problematic subcategories of code sets.
在本研究中,我们报告了一种名为德尔菲法的定性方法,该方法用于一项研究的第一部分,以提高ICD - 9 - CM编码的准确性和可靠性。一个由独立编码专家组成的小组进行了系统的互动,以确定用于进一步研究的有问题的ICD - 9 - CM子类别的三个标准,即成本、数量和所造成的编码混淆程度。利用2007财年医疗保险提供者分析与审查(MEDPAR)数据集以及专家的建议,根据成本和数量数据确定编码子类别。接下来,小组成员进行了两轮独立排序,然后确定切除清创术是编码人员中造成最多混淆的子类别。因此,他们建议对其进行进一步研究,以提高编码准确性和减少差异。这个框架可以在不同层面被采用,用于类似的需要一个确定代码集有问题子类别的方案的研究。