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.
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