NDLI: Querying Complex Federated Clinical Data Using Ontological Mapping and Subsumption Reasoning

Content Provider	IEEE Xplore Digital Library
Author	Licong Cui Mueller, R. Sahoo, S. Guo-Qiang Zhang
Copyright Year	2013
Description	Author affiliation: Div. of Med. Inf., Case Western Reserve Univ., Cleveland, OH, USA (Mueller, R.; Sahoo, S.) \|\| Dept. of EECS, Case Western Reserve Univ., Cleveland, OH, USA (Licong Cui; Guo-Qiang Zhang)
Abstract	The secondary use of clinical data is an essential part of translational and comparative effectiveness research. In designing user interfaces for querying clinical data, we found challenges in managing disease classification codes, medication history, and computed indices, which were amplified by the longitudinal nature of clinical care. In order to address these challenges, we integrate domain-specific and standardized ontological/terminological systems as plug-and-play components in the system architecture for data exploration and user interface support. We present an ontology-driven query interface framework called VISAGE+ (Visual Aggregator and Explorer Plus), which is capable of: (a) mapping multiple data sources and database columns to single concepts in an ontological system, (b) querying multi-dimensional data using concept attributes, and (c) supporting queries that require transitive closure over the ontology class hierarchy (a.k.a. subsumption reasoning). Three VISAGE+ instances have been deployed for large-scale multi-center projects in Sleep Medicine, Epilepsy, and for exploring Medicare and Medicaid data. These instances demonstrate the generality and flexibility of the VISAGE+ framework in supporting large-scale data federation, novel user-interface features, and the usability of the interfaces and systems for clinical research.
Starting Page	351
Ending Page	360
File Size	1629850
Page Count	10
File Format	PDF
ISBN	9780769550893
DOI	10.1109/ICHI.2013.49
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-09-09
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Drugs Databases Secondary use of clinical data Ontologies Educational institutions Ontology-driven query interface Cognition Medical diagnostic imaging
Content Type	Text
Resource Type	Article

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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