Service and model-driven dynamic integration of health data

Adel Taweel, Stuart M Speedie, Gareth Tyson, Abdel R.H. Tawil, Kevin A Peterson, Brendan Delaney

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

9 Scopus citations

Abstract

Recent advances in informatics and computing are increasingly becoming essential factors for realising major improvement in healthcare. The delivery of the right information about the right patient at the point of care is central to a well-integrated healthcare process. However, the high sensitivity of the clinical domain and the vast differences in health data and systems pose a great interoperability challenge for solutions that do not employ strong semantic principles as core to the interoperation process to sufficiently scale. This paper presents a model-based approach that utilises domain ontologies combined with extensible problem models, driven by rich domain terminology and knowledge services at the centre of the process to enable autonomous data governance and semantic interoperability. The paper addresses the resulting requirements and proposes a solution outlining the results from the prototype of the approach.

Original languageEnglish (US)
Title of host publicationCIKM 2011 Glasgow
Subtitle of host publicationMIXHS'11 - Proceedings of the 1st International Workshop on Managing Interoperability and Complexity in Health Systems
Pages11-17
Number of pages7
DOIs
StatePublished - Dec 15 2011
Event1st International Workshop on Managing Interoperability and compleXity in Health Systems, MIXHS'11, Collocated with the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011 - Glasgow, United Kingdom
Duration: Oct 28 2011Oct 28 2011

Other

Other1st International Workshop on Managing Interoperability and compleXity in Health Systems, MIXHS'11, Collocated with the 20th ACM International Conference on Information and Knowledge Management, CIKM 2011
CountryUnited Kingdom
CityGlasgow
Period10/28/1110/28/11

Keywords

  • data integration
  • ehealth
  • interoperability
  • ontology
  • semantic web services

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