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.

DOI: 10.3233/978-1-61499-959-1-85

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

Publisher: IOS Press EbooksIOS Press

Human Diseases: No Human Disease specified


Date Published: 2019


Registered Mode: manually

Authors: Lo An Phan-Vogtmann, Alexander Helhorn, Henner M. Kruse, Eric Thomas, Andrew J. Heidel, Kutaiba Saleh, F. Rissner, Martin Specht, Andreas Henkel, André Scherag 

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Phan-Vogtmann Lo An, Helhorn Alexander, Kruse Henner M., Thomas Eric, Heidel Andrew J., Saleh Kutaiba, Rissner Florian, Specht Martin, Henkel Andreas, Scherag André & Ammon Danny. (2019). Approaching Clinical Data Transformation from Disparate Healthcare IT Systems Through a Modular Framework [JB]. Studies in Health Technology and Informatics, 258(ICT for Health Science Research), 85–89.

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Created: 24th Feb 2023 at 17:31

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