A Data Mining Approach to Characterizing Medical Code Usage Patterns
A Data Mining Approach to Characterizing Medical Code Usage Patterns
复制标题
表征医疗代码使用模式的数据挖掘方法
DOI：
10.1023/a:1015014402846
复制
发表时间：
2002
影响因子：
5.3
通讯作者：
Luis G. Vargas
中科院分区：
文献类型：
--
作者：
William E. Spangler;J. May;D. Strum;Luis G. Vargas
本研究描述了一种综合数据挖掘方法，以确定诊断（ICD-9）和程序（CPT）代码的使用模式，在两个美国医院，以确定当前的编码分类系统的充分性和有效性的目标。我们将联合收割机的相对频率测量与从产业经济学中借来的产业集中度测量相结合，以（1）确定医生在多大程度上利用现有的代码对患者进行分类，（2）发现影响代码使用的因素。我们的研究结果划分域的编码系统表现良好的领域和那些领域的系统表现相对较差。我们的目标是使用这种方法来了解编码系统是如何使用的，并强调有针对性地改进当前编码系统的领域。
This research describes a synthetic data mining approach to identifying diagnostic (ICD-9) and procedure (CPT) code usage patterns in two U.S. hospitals, with the goal of determining the adequacy and effectiveness of the current coding classification systems. We combine relative frequency measurements with measures of industry concentration borrowed from industrial economics in order to (1) ascertain the extent to which physicians utilize the available codes in classifying patients and (2) discover the factors that impinge on code usage. Our results partition the domain into areas for which the coding systems perform well and those areas for which the systems perform relatively poorly. The goal is to use this approach to understand how coding systems are used and to highlight areas for targeted improvement of the current coding systems.