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Transformation of Medical Service Ontology to Relational Data Models

Authors:
Osamu Takaki
Izumi Takeuti
Koichi Takahashi
Noriaki Izumi
Koichiro Murata
Mitsuru Ikeda
Koiti Hasida

Keywords: quality indicator; ontology; data model; medical database

Abstract:
For assessment of medical service quality in hospitals, it is important to define quality indicators for evaluating medical services and to calculate their values based on data in hospitals databases. Thus, one needs a proper method to correctly calculate the value of a given quality indicator based on data in medical databases. This paper introduces a method to transform Medical Service Ontology (MSO) to relational data models in medical databases, where MSO is an ontology that provides vocabulary words for developing quality indicators. To this end, this paper defines a virtual data model called the Global Data Model (GDM) and a transformation of MSO to GDM by grouping concepts and properties in MSO. Based on the transformation, a quality indicator defined with MSO can be transformed into queries on GDM automatically. Moreover, by developing mappings from GDM to relational data models in medical databases, a quality indicator on MSO can be transformed into queries on the data models, using which the value of the quality indicator is calculated based on data in medical databases.

Pages: 50 to 59

Copyright: Copyright (c) IARIA, 2012

Publication date: November 18, 2012

Published in: conference

ISSN: 2308-4235

ISBN: 978-1-61208-230-1

Location: Lisbon, Portugal

Dates: from November 18, 2012 to November 23, 2012