This paper proposes a semi-automatic approach to extract information stored in a HL7 Clinical Document Architecture (CDA) and transform them to be loaded in a Data Warehouse for secondary purposes. It represents a suitable solution to facilitate the design and implemention of Extract, Transform and Load (ETL) tools that are considered the most time-consuming step of the data warehouse development process. The implementation of this framework is also proposed adopting the XSLT style sheet language that converts an original CDA XML-based document to an output XML document that can be easily loaded in the Data Warehouse. A case study is also provided to demonstrate the feasibility of the approach proposed.

The Use of HL7 Clinical Document Architecture Schema to Defi ne a Data Warehouse Dimensional Model for Secondary Purposes

Pecoraro F;Luzi D;
2017

Abstract

This paper proposes a semi-automatic approach to extract information stored in a HL7 Clinical Document Architecture (CDA) and transform them to be loaded in a Data Warehouse for secondary purposes. It represents a suitable solution to facilitate the design and implemention of Extract, Transform and Load (ETL) tools that are considered the most time-consuming step of the data warehouse development process. The implementation of this framework is also proposed adopting the XSLT style sheet language that converts an original CDA XML-based document to an output XML document that can be easily loaded in the Data Warehouse. A case study is also provided to demonstrate the feasibility of the approach proposed.
2017
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS
Inglese
13
1
85
95
https://www.ejbi.org/scholarly-articles/the-use-of-hl7-clinical-document-architecture-schema-to-definea-data-warehouse-dimensional-model-for-secondary-purposes.pdf
Sì, ma tipo non specificato
Data warehousing; Dimensional model; HL7 CDA; Extensible Stylesheet Language Transformation (XSLT); XML
3
info:eu-repo/semantics/article
262
Pecoraro, F; Luzi, D; Ricci, Fl
01 Contributo su Rivista::01.01 Articolo in rivista
open
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/355624
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