AI Article Synopsis
- The paper introduces a semi-automatic method for extracting clinical data from HL7 Clinical Document Architecture (CDA) and converting it into a data warehouse dimensional model.
- It builds on a previously established framework that aligns the components of the dimensional model with elements of the CDA.
- A case study showcasing this approach is presented, focusing on the analysis of vital signs collected from laboratory tests.
Article Abstract
This paper proposes a semi-automatic approach to extract clinical information structured in a HL7 Clinical Document Architecture (CDA) and transform it in a data warehouse dimensional model schema. It is based on a conceptual framework published in a previous work that maps the dimensional model primitives with CDA elements. Its feasibility is demonstrated providing a case study based on the analysis of vital signs gathered during laboratory tests.
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