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Author: David Milward

Affiliation: Department of Computer Science, Oxford University, Parks Road, Oxford, U.K.

ISBN: 978-989-758-358-2

Keyword(s): ISO11179, Metadata, Model Driven Engineering, UML.

Abstract: Healthcare research depends on the availability of data that is of high quality, that is easy to query, consistent and current. Traditionally, healthcare data has relied on multiple diverse datasets being integrated by domain experts. These integration processes are executed with a high degree of human involvement, integrating datasets can be time-consuming and can result in the introduction of errors into the data. This paper describes work to build an integration toolset for healthcare datasets based on the ISO11179 Standard for metadata registries. It describes issues encountered whilst implementing the standard and shows how these short-comings were overcome by using techniques from the field of Model Driven Engineering (MDE).

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Paper citation in several formats:
Milward, D. (2019). Model Driven Data Management in Healthcare.In Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD, ISBN 978-989-758-358-2, pages 107-118. DOI: 10.5220/0007391101070118

@conference{modelsward19,
author={Milward, D.},
title={Model Driven Data Management in Healthcare},
booktitle={Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,},
year={2019},
pages={107-118},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0007391101070118},
isbn={978-989-758-358-2},
}

TY - CONF

JO - Proceedings of the 7th International Conference on Model-Driven Engineering and Software Development - Volume 1: MODELSWARD,
TI - Model Driven Data Management in Healthcare
SN - 978-989-758-358-2
AU - Milward, D.
PY - 2019
SP - 107
EP - 118
DO - 10.5220/0007391101070118

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