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引用次数: 91

摘要

医学信息学已经成为计算和数据库技术应用的一个重要领域至少有四十年了。这一领域可能受益于数据仓库提供的功能。然而,临床应用的特殊性对数据仓库技术提出了不同于传统数据仓库应用的新要求。本文介绍了临床应用带来的一些令人兴奋的新研究挑战,这些挑战将由数据库研究社区来应对。这些需求包括对复杂数据建模特性、高级时态支持、高级分类结构、连续值数据、维度降低的数据以及非常复杂数据的集成的需求。此外,对临床治疗方案和医学研究的支持是值得研究的有趣领域。
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Research issues in clinical data warehousing
Medical informatics has been an important area for the application of computing and database technology for at least four decades. This area may benefit from the functionality offered by data warehousing. However, the special nature of clinical applications poses different and new requirements to data warehousing technologies, over those posed by conventional data warehouse applications. This article presents a number of exciting new research challenges posed by clinical applications, to be met by the database research community. These include the need for complex data modeling features, advanced temporal support, advanced classification structures, continuously valued data, dimensionally reduced data, and the integration of very complex data. In addition, the support for clinical treatment protocols and medical research are interesting areas for research.
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