Incorporating ICD-9 and ICD-10 data in a warehouse

Johann Eder, Christian Koncilia
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引用次数: 3

Abstract

The shift from version 9 to version 10 of the "International Statistical Classification of Diseases and Related Health Problems", or ICD (International Classification of Diseases) for short, causes enormous problems for the exploitation of medical data warehouses, since conventional data warehouses do not support the change of the structure of dimensions, i.e. the content and relationships of master data like the diagnostic codes, or other key values. This shortcoming results in a reduction of possible analysis, and unfortunately is the cause of many wrong statistics and analysis results. In this paper, we analyze the problem and show how to superimpose conventional multi-dimensional data warehouses with temporal master data to allow queries spanning multiple periods to return correct answers.
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将ICD-9和ICD-10数据整合到一个仓库中
《国际疾病和相关健康问题统计分类》(简称《国际疾病分类》)从第9版转变为第10版,给利用医疗数据仓库带来了巨大的问题,因为传统的数据仓库不支持维度结构的变化,即诊断代码等主数据的内容和关系或其他关键值的变化。这个缺点导致可能的分析减少,不幸的是,它是许多错误统计和分析结果的原因。在本文中,我们分析了这个问题,并展示了如何将传统的多维数据仓库与时间主数据叠加在一起,以允许跨越多个时间段的查询返回正确的答案。
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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