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Ontology for Data Quality and Chronic Disease Management: A Literature Review

Ontology for Data Quality and Chronic Disease Management: A Literature Review

Alireza Rahimi, Siaw-Teng Liaw, Pradeep Kumar Ray, Jane Taggart, Hairong Yu
Copyright: © 2015 |Pages: 29
ISBN13: 9781466663169|ISBN10: 1466663162|EISBN13: 9781466663176
DOI: 10.4018/978-1-4666-6316-9.ch016
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MLA

Rahimi, Alireza, et al. "Ontology for Data Quality and Chronic Disease Management: A Literature Review." Healthcare Informatics and Analytics: Emerging Issues and Trends, edited by Madjid Tavana, et al., IGI Global, 2015, pp. 303-331. https://doi.org/10.4018/978-1-4666-6316-9.ch016

APA

Rahimi, A., Liaw, S., Ray, P. K., Taggart, J., & Yu, H. (2015). Ontology for Data Quality and Chronic Disease Management: A Literature Review. In M. Tavana, A. Ghapanchi, & A. Talaei-Khoei (Eds.), Healthcare Informatics and Analytics: Emerging Issues and Trends (pp. 303-331). IGI Global. https://doi.org/10.4018/978-1-4666-6316-9.ch016

Chicago

Rahimi, Alireza, et al. "Ontology for Data Quality and Chronic Disease Management: A Literature Review." In Healthcare Informatics and Analytics: Emerging Issues and Trends, edited by Madjid Tavana, Amir Hossein Ghapanchi, and Amir Talaei-Khoei, 303-331. Hershey, PA: IGI Global, 2015. https://doi.org/10.4018/978-1-4666-6316-9.ch016

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Abstract

Improved Data Quality (DQ) can improve the quality of decisions and lead to better policy in health organizations. Ontologies can support automated tools to assess DQ. This chapter examines ontology-based approaches to conceptualization and specification of DQ based on “fitness for purpose” within the health context. English language studies that addressed DQ, fitness for purpose, ontology-based approaches, and implementations were included. The authors screened 315 papers; excluded 36 duplicates, 182 on abstract review, and 46 on full-text review; leaving 52 papers. These were appraised with a realist “context-mechanism-impacts/outcomes” template. The authors found a lack of consensus frameworks or definitions for DQ and comprehensive ontological approaches to DQ or fitness for purpose. The majority of papers described the processes of the development of DQ tools. Some assessed the impact of implementing ontology-based specifications for DQ. There were few evaluative studies of the performance of DQ assessment tools developed; none compared ontological with non-ontological approaches.

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