Lyman Jason A, Scully Ken, Tropello Steve, Boyd James, Dalton Jason, Pelletier Sandra, Egyhazy Csaba
Dept. of Health Evaluation Sciences, School of Medicine, University of Virginia, Charlottesville, USA.
AMIA Annu Symp Proc. 2003;2003:920.
Large-scale data integration efforts to support clinical and biologic research are greatly facilitated by the adoption of standards for the representation and exchange of data. As part of a larger project to design the necessary architecture for multi-institutional sharing of disparate biomedical data, we explored the potential of the HL7 Reference Information Model (RIM) for representing the data stored in a local academic clinical data warehouse. A necessary first step in information exchange with such a warehouse is the development and utilization of tools for transforming between local data schemas and standards-based conceptual data models. We describe our initial efforts at mapping clinical concepts from a relational data warehouse to the HL7 RIM.
采用数据表示和交换标准极大地促进了支持临床和生物学研究的大规模数据整合工作。作为设计用于多机构共享不同生物医学数据的必要架构的更大项目的一部分，我们探索了HL7参考信息模型（RIM）在表示存储在本地学术临床数据仓库中的数据方面的潜力。与此类仓库进行信息交换的必要第一步是开发和利用用于在本地数据模式和基于标准的概念数据模型之间进行转换的工具。我们描述了我们将临床概念从关系型数据仓库映射到HL7 RIM的初步工作。
