University of Surrey

Test tubes in the lab Research in the ATI Dance Research

Using ontologies to improve semantic interoperability in health data.

Liyanage, H, Krause, P and De Lusignan, S (2015) Using ontologies to improve semantic interoperability in health data. J Innov Health Inform, 22 (2). pp. 309-315.

Full text not available from this repository.


The present-day health data ecosystem comprises a wide array of complex heterogeneous data sources. A wide range of clinical, health care, social and other clinically relevant information are stored in these data sources. These data exist either as structured data or as free-text. These data are generally individual person-based records, but social care data are generally case based and less formal data sources may be shared by groups. The structured data may be organised in a proprietary way or be coded using one-of-many coding, classification or terminologies that have often evolved in isolation and designed to meet the needs of the context that they have been developed. This has resulted in a wide range of semantic interoperability issues that make the integration of data held on these different systems changing. We present semantic interoperability challenges and describe a classification of these. We propose a four-step process and a toolkit for those wishing to work more ontologically, progressing from the identification and specification of concepts to validating a final ontology. The four steps are: (1) the identification and specification of data sources; (2) the conceptualisation of semantic meaning; (3) defining to what extent routine data can be used as a measure of the process or outcome of care required in a particular study or audit and (4) the formalisation and validation of the final ontology. The toolkit is an extension of a previous schema created to formalise the development of ontologies related to chronic disease management. The extensions are focused on facilitating rapid building of ontologies for time-critical research studies.

Item Type: Article
Divisions : Surrey research (other units)
Authors :
De Lusignan, S
Date : 2015
Uncontrolled Keywords : data integration, electronic health records, interoperability, ontology, semantic, Biological Ontologies, Chronic Disease, Clinical Coding, Cooperative Behavior, Electronic Health Records, Health Information Exchange, Humans, Interdisciplinary Communication, Semantics
Related URLs :
Depositing User : Symplectic Elements
Date Deposited : 17 May 2017 10:34
Last Modified : 24 Jan 2020 19:36

Actions (login required)

View Item View Item


Downloads per month over past year

Information about this web site

© The University of Surrey, Guildford, Surrey, GU2 7XH, United Kingdom.
+44 (0)1483 300800