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Authors: James P. McGlothlin ; Amar Madugula and Ilija Stojic

Affiliation: Fusion Consulting Inc, United States

Keyword(s): Data Warehousing, Business Intelligence, Data Virtualization.

Related Ontology Subjects/Areas/Topics: Biomedical Engineering ; Databases and Datawarehousing ; Health Information Systems ; Healthcare Management Systems

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. (More)

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Paper citation in several formats:
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 (BIOSTEC 2017) - HEALTHINF; ISBN 978-989-758-213-4; ISSN 2184-4305, SciTePress, pages 469-476. DOI: 10.5220/0006253004690476

@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 (BIOSTEC 2017) - HEALTHINF},
year={2017},
pages={469-476},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0006253004690476},
isbn={978-989-758-213-4},
issn={2184-4305},
}

TY - CONF

JO - Proceedings of the 10th International Joint Conference on Biomedical Engineering Systems and Technologies (BIOSTEC 2017) - HEALTHINF
TI - The Virtual Enterprise Data Warehouse for Healthcare
SN - 978-989-758-213-4
IS - 2184-4305
AU - McGlothlin, J.
AU - Madugula, A.
AU - Stojic, I.
PY - 2017
SP - 469
EP - 476
DO - 10.5220/0006253004690476
PB - SciTePress