(2015) Development of a methodological approach for data quality ontology in diabetes management. In: E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications. IGI Global, pp. 444-465. ISBN 9781466687578 (ISBN); 1466687568 (ISBN); 9781466687561 (ISBN)
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Abstract
The role of ontologies in chronic disease management and associated challenges such as defining data quality (DQ) and its specification is a current topic of interest. In domains such as Diabetes Management, a robust Data Quality Ontology (DQO) is required to support the automation of data extraction semantically from Electronic Health Record (EHR) and access and manage DQ, so that the data set is fit for purpose. A five steps strategy is proposed in this paper to create the DQO which captures the semantics of clinical data. It consists of: (1) Knowledge acquisition; (2) Conceptualization; (3) Semantic modeling; (4) Knowledge representation; and (5) Validation. The DQO was applied to the identification of patients with Type 2 Diabetes Mellitus (T2DM) in EHRs, which included an assessment of the DQ of the EHR. The five steps methodology is generalizable and reusable in other domains. © 2016 by IGI Global. All rights reserved.
| Item Type: | Book Section |
|---|---|
| Keywords: | Diseases Electronic document exchange Knowledge representation Semantics Chronic disease management Data extraction Diabetes management Electronic health record Fit for purpose Methodological approach Semantic Model Type 2 diabetes mellitus Ontology |
| Title of Book: | E-Health and Telemedicine: Concepts, Methodologies, Tools, and Applications |
| Page Range: | pp. 444-465 |
| Volume: | 1 |
| Publisher: | IGI Global |
| Identification Number: | https://doi.org/10.4018/978-1-4666-8756-1.ch023 |
| ISBN: | 9781466687578 (ISBN); 1466687568 (ISBN); 9781466687561 (ISBN) |
| Depositing User: | مهندس مهدی شریفی |
| URI: | http://eprints.mui.ac.ir/id/eprint/6036 |
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