Approaching Clinical Data Transformation from Disparate Healthcare IT Systems Through a Modular Framework.
Many healthcare IT systems in Germany are unable to interoperate with other systems through standardised data formats. Therefore it is difficult to store and retrieve data and to establish a systematic collection of data with provenance across systems and even healthcare institutions. We outline the concept for a Transformation Pipeline that can act as a processor for proprietary medical data formats from multiple sources. Through a modular construction, the pipeline relies on different data extraction and data enrichment modules as well as on interfaces to external definitions for interoperability standards. The developed solution is extendable and reusable, enabling data transformation independent from current format definitions and entailing the opportunity of collaboration with other research groups.
PubMed ID: 30942720
Projects: SMITH - Smart Medical Information Technology for Healthcare
Publication type: Journal article
Journal: Studies in health technology and informatics
Book Title: Volume 258: ICT for Health Science Research, pages: 85 - 89
Publisher: IOS Press
Human Diseases: No Human Disease specified
Citation:
Date Published: 2019
URL: http://ebooks.iospress.nl/volumearticle/51358
Registered Mode: manually
Views: 1458
Created: 7th Sep 2020 at 13:50
Last updated: 7th Dec 2021 at 17:58
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