Aim of this paper is to propose a methodology to design Extract, Transform and Load (ETL) tools in a clinical data warehouse architecture based on the Electronic Healthcare Record (EHR). This approach takes advantages on the use of this infrastructure as one of the main source of information to feed the data warehouse, taking also into account that clinical documents produced by heterogeneous legacy systems are structured using the HL7 CDA standard. This paper describes the main activities to be performed to map the information collected in the different types of document with the dimensional model primitives.

Designing ETL Tools to Feed a Data Warehouse Based on Electronic Healthcare Record Infrastructure

Fabrizio Pecoraro;Daniela Luzi;
2015

Abstract

Aim of this paper is to propose a methodology to design Extract, Transform and Load (ETL) tools in a clinical data warehouse architecture based on the Electronic Healthcare Record (EHR). This approach takes advantages on the use of this infrastructure as one of the main source of information to feed the data warehouse, taking also into account that clinical documents produced by heterogeneous legacy systems are structured using the HL7 CDA standard. This paper describes the main activities to be performed to map the information collected in the different types of document with the dimensional model primitives.
2015
Istituto di Ricerche sulla Popolazione e le Politiche Sociali - IRPPS
Inglese
26th Medical Informatics Europe Conference
210
929
936
http://www.scopus.com/record/display.url?eid=2-s2.0-84937458836&origin=inward
IOS Press
Amsterdam
PAESI BASSI
Sì, ma tipo non specificato
27-29/05/2015
Madrid, Spain
Data Warehouse
Extract
Transform and Load
HL7
Clinical Document Architecture
Electronic Health Record
Logical Data Map
3
open
Pecoraro, Fabrizio; Luzi, Daniela; L Ricci, Fabrizio
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/368127
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