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.
|Title of host publication||MEDINFO 2013|
|Subtitle of host publication||Proceedings of the 14th World Congress on Medical and Health Informatics|
|Editors||Christoph Ulrich Lehmann, Elske Ammenwerth, Christian Nøhr|
|Place of Publication||Amsterdam|
|Number of pages||5|
|Publication status||Published - 2013|
|Event||14th World Congress on Medical and Health Informatics (MEDINFO) - Copenhagen, Denmark|
Duration: 20 Aug 2013 → 23 Aug 2013
|Conference||14th World Congress on Medical and Health Informatics (MEDINFO)|
|Period||20/08/13 → 23/08/13|
Bibliographical noteCopyright 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.
- chronic disease management
- medical informatics