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ETL Processes for Integrating Healthcare Data - Tools and Architecture Patterns.

Improving the interoperability of healthcare information systems is a crucial clinical care issue involving disparate but coexisting information systems. However, healthcare organizations are also facing the dilemma of choosing the right ETL tool and architecture pattern as data warehouse enterprise...

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Published in:Studies in Health Technology & Informatics Vol. 299; pp. 151 - 157
Main Authors: Ka Yung CHENG, PAZMINO, Santiago, SCHREIWEIS, Björn
Format: Journal Article
Published: Sage Publications Inc. 2022
Online Access:View this record in EBSCOhost
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      dt: 2022
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      pub: Sage Publications Inc.
      place: Thousand Oaks, California
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        atl: ETL Processes for Integrating Healthcare Data - Tools and Architecture Patterns.
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        au:
          Ka Yung CHENG
          PAZMINO, Santiago
          SCHREIWEIS, Björn
        affil: Institute for Medical Informatics and Statistics, Kiel University, Germany.
      sug:
      ab: Improving the interoperability of healthcare information systems is a crucial clinical care issue involving disparate but coexisting information systems. However, healthcare organizations are also facing the dilemma of choosing the right ETL tool and architecture pattern as data warehouse enterprises. This article gives an overview of current ETL tools for healthcare data integration. In addition, we demonstrate three ETL processes for clinical data integration using different ETL tools and architecture patterns, which map data from various data sources (e.g. MEONA and ORBIS) to diverse standards (e.g. FHIR and openEHR). Depending on the project’s technical requirements, we choose our ETL tool and software architecture pattern to boost team efficiency.
      pubtype: Academic Journal
      doctype: Journal Article
      ougenre: Article
    language: English
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