DocumentCode :
2263626
Title :
Information support for integrative analytical approaches for Health Management application development and maturation
Author :
Wilmering, Timothy J. ; Van Rossum, David A.
Author_Institution :
Boeing Res. & Technol., Boeing Co., St. Louis, MO, USA
fYear :
2009
fDate :
14-17 Sept. 2009
Firstpage :
94
Lastpage :
100
Abstract :
Development of information systems for the systems health management domain are typically concerned with data collection assets, such as customer data systems or on-platform data recording devices, or the need for data warehouses to integrate copies of data from these sources. We propose that there exists a significant capability gap in this area - there is a need in the health management domain to manage information in support of engineering research and analysis, going well beyond the scope of typical decision support systems and data warehouses. This paper will explore this need within the context of the development and maturation of health management (HM) analytical processes and application development. We will examine the issues associated with aggregating, integrating, and mining information of the sort needed to support HM processes and suggest an evolutionary approach to improving the current means by which information support is provided.
Keywords :
data mining; data warehouses; decision support systems; health care; medical information systems; ontologies (artificial intelligence); customer data system; data collection asset; data warehouse; decision support system; evolutionary approach; information management; information mining; information system health management maturation; integrative analytical approach; knowledge discovery; on-platform data recording device; ontology; Asset management; Data engineering; Data systems; Data warehouses; Decision support systems; Engineering management; Health information management; Information analysis; Information management; Management information systems; data; data analysis; data mining; data warehouse; flight data recorder; information management; knowledge discovery; ontology; semantics; visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
AUTOTESTCON, 2009 IEEE
Conference_Location :
Anaheim, CA
ISSN :
1088-7725
Print_ISBN :
978-1-4244-4980-4
Electronic_ISBN :
1088-7725
Type :
conf
DOI :
10.1109/AUTEST.2009.5314065
Filename :
5314065
Link To Document :
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