NDLI: A proposed star schema and extraction process to enhance the collection of contextual & semantic information for clinical research data warehouses

Content Provider	IEEE Xplore Digital Library
Author	Blechner, M. Saripalle, R.K. Demurjian, S.A.
Copyright Year	2012
Description	Author affiliation: Department of Pathology, UCHC, Farmington, USA (Blechner, M.) \|\| Dept. of CSE, UCONN, Storrs, USA (Saripalle, R.K.; Demurjian, S.A.)
Abstract	In the past decade, clinical patient data has played a pivotal role in clinical and translational research in support of new treatment options, medical interventions, drug development, etc. In support of this process, researchers require massive integrated data sets generated via a health information exchange (HIE) to centralize and automate the development and maintenance of a clinical research data warehouse (CRDW). The data harvested from the CRDW is obtained by cleansing transactional clinical databases (TCD) used for daily clinical activities. Traditionally, TCD schema and CRDW data models only capture conceptual patient data, often neglecting to address the contextual and semantic information attached to such data that is crucial for clinical analysis. In this paper, we propose a star schema and associated extraction process to enhance the collection of contextual and semantic information in support of CRDW that leverages HL7 Clinical Document Architecture in conjunction with the Reference Information Model.
Starting Page	798
Ending Page	805
File Size	906350
Page Count	8
File Format	PDF
ISBN	9781467327466
e-ISBN	9781467327473
e-ISBN	9781467327442
DOI	10.1109/BIBMW.2012.6470242
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs clinical translational research Hospitals Semantics Data warehouses Educational institutions health information exchange Data mining Standards heatlh care standards clinical data warehouses
Content Type	Text
Resource Type	Article

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