Ontologies to improve chronic disease management research and quality improvement studies

a conceptual framework

Harshana Liyanage, Siaw Teng Liaw, Craig Kuziemsky, Simon De Lusignan*

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

6 Citations (Scopus)
77 Downloads (Pure)

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.

Original languageEnglish
Title of host publicationMEDINFO 2013
Subtitle of host publicationProceedings of the 14th World Congress on Medical and Health Informatics
EditorsChristoph Ulrich Lehmann, Elske Ammenwerth, Christian Nøhr
Place of PublicationAmsterdam
Pages180-184
Number of pages5
Volume192
ISBN (Electronic)9781614992899
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event14th World Congress on Medical and Health Informatics (MEDINFO) - Copenhagen, Denmark
Duration: 20 Aug 201323 Aug 2013

Conference

Conference14th World Congress on Medical and Health Informatics (MEDINFO)
CountryDenmark
CityCopenhagen
Period20/08/1323/08/13

Bibliographical note

Copyright the Author(s) 2013. Version archived for private and non-commercial use with the permission of the author/s and according to publisher conditions. For further rights please contact the publisher.

Keywords

  • chronic disease management
  • classification
  • medical informatics
  • ontologies

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    Liyanage, H., Liaw, S. T., Kuziemsky, C., & De Lusignan, S. (2013). Ontologies to improve chronic disease management research and quality improvement studies: a conceptual framework. In C. U. Lehmann, E. Ammenwerth, & C. Nøhr (Eds.), MEDINFO 2013: Proceedings of the 14th World Congress on Medical and Health Informatics (Vol. 192, pp. 180-184). Amsterdam. https://doi.org/10.3233/978-1-61499-289-9-180