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The requirements for ontologies in medical data integration: A case study

Hauer, Tam�s; Anjum, Ashiq; Bloodsworth, Peter; Branson, Andrew; McClatchey, Richard; Munir, Kamran; Rogulin, Dmitry; Shamdasani, Jetendr

Authors

Tam�s Hauer

Ashiq Anjum

Peter Bloodsworth

Andrew Branson

Dmitry Rogulin

Jetendr Shamdasani



Abstract

Evidence-based medicine is critically dependent on three sources of information: a medical knowledge base, the patient's medical record and knowledge of available resources, including where appropriate, clinical protocols. Patient data is often scattered in a variety of databases and may, in a distributed model, be held across several disparate repositories. Consequently addressing the needs of an evidence-based medicine community presents issues of biomedical data integration, clinical interpretation and knowledge management. This paper outlines how the Health-e-Child project has approached the challenge of requirements specification for (bio-) medical data integration, from the level of cellular data, through disease to that of patient and population. The approach is illuminated through the requirements elicitation and analysis of Juvenile Idiopathic Arthritis (JIA), one of three diseases being studied in the EC-funded Healthe-Child project. © 2007 IEEE.

Citation

Hauer, T., Anjum, A., Bloodsworth, P., Branson, A., McClatchey, R., Munir, K., …Shamdasani, J. (2007). The requirements for ontologies in medical data integration: A case study. https://doi.org/10.1109/IDEAS.2007.4318120

Journal Article Type Conference Paper
Conference Name 11th International Database Engineering & Applications Symposium, Ideas2007
Conference Location Banff, Canada
Publication Date Dec 1, 2007
Journal Proceedings of the International Database Engineering and Applications Symposium, IDEAS
Peer Reviewed Peer Reviewed
Pages 308-313
Book Title 11th International Database Engineering and Applications Symposium (IDEAS 2007)
ISBN ;
DOI https://doi.org/10.1109/IDEAS.2007.4318120
Keywords health-e-child project, biomedical data integration, clinical interpretation, evidence-based medicine, knowledge management, ontology, patient medical record
Public URL https://uwe-repository.worktribe.com/output/1031684
Publisher URL http://dx.doi.org/10.1109/IDEAS.2007.4318120
Additional Information Title of Conference or Conference Proceedings : 11th International Database Engineering & Applications Symposium, Ideas2007


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