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Ontologies to improve chronic disease management research and quality improvement studies - a conceptual framework.

Liyanage, H, Liaw, ST, Kuziemsky, C and de Lusignan, S (2013) Ontologies to improve chronic disease management research and quality improvement studies - a conceptual framework. Stud Health Technol Inform, 192. pp. 180-184.

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Abstract

There is a growing burden of chronic non-communicable disease (CNCD). Managing CNCDs requires use of multiple sources of health and social care data, and information about coordination and outcomes. Many people with CNCDs have multimorbidity. Problems with data quality exacerbate challenges in measuring quality and health outcomes especially where there is multimorbidity. We have developed an ontological toolkit to support research and quality improvement studies in CNCDs using heterogeneous data, with diabetes mellitus as an exemplar. International experts held a workshop meeting, with follow up discussions and consensus building exercise. We generated conceptual statements about problems with a CNCD that ontologies might support, and a generic reference model. There were varying degrees of consensus. We propose a set of tools, and a four step method: (1) Identification and specification of data sources; (2) Conceptualisation of semantic meaning; (3) How available routine data can be used as a measure of the process or outcome of care; (4) Formalisation and validation of the final ontology.

Item Type: Article
Divisions : Faculty of Engineering and Physical Sciences > Computing Science
Authors :
NameEmailORCID
Liyanage, HUNSPECIFIEDUNSPECIFIED
Liaw, STUNSPECIFIEDUNSPECIFIED
Kuziemsky, CUNSPECIFIEDUNSPECIFIED
de Lusignan, SUNSPECIFIEDUNSPECIFIED
Date : 2013
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 28 Mar 2017 13:20
Last Modified : 28 Mar 2017 13:20
URI: http://epubs.surrey.ac.uk/id/eprint/797044

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