The Virtual Enterprise Data Warehouse for Healthcare

James P. McGlothlin, Amar Madugula, Ilija Stojic

Abstract

Healthcare organizations have access to more data than ever before. Healthcare analytics is a vital tool for healthcare organizations and hospitals to analyze performance, identify opportunities to improve, make informed decisions, and comply with government and payor regulations. However, the field of medicine and the political and regulatory landscape are constantly changing, thus these requirements and opportunities rapidly evolve. The traditional best practice solution for business analytics is to organize and consolidate the data into a dimensional data warehouse for analytics purposes. Due to the size of the data, the number of disparate sources and the volume of analytics needs, the overhead to create and maintain such a data warehouse is becoming prohibitive. In this paper, we introduce a virtual data warehouse solution that combines the design and modelling principles of traditional dimensional modelling with data virtualization and in-memory database architectures to create a system which is more agile, flexible and scalable.

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Paper Citation


in Harvard Style

McGlothlin J., Madugula A. and Stojic I. (2017). The Virtual Enterprise Data Warehouse for Healthcare . In Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017) ISBN 978-989-758-213-4, pages 469-476. DOI: 10.5220/0006253004690476


in Bibtex Style

@conference{healthinf17,
author={James P. McGlothlin and Amar Madugula and Ilija Stojic},
title={The Virtual Enterprise Data Warehouse for Healthcare},
booktitle={Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)},
year={2017},
pages={469-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006253004690476},
isbn={978-989-758-213-4},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies - Volume 5: HEALTHINF, (BIOSTEC 2017)
TI - The Virtual Enterprise Data Warehouse for Healthcare
SN - 978-989-758-213-4
AU - McGlothlin J.
AU - Madugula A.
AU - Stojic I.
PY - 2017
SP - 469
EP - 476
DO - 10.5220/0006253004690476