The Requirements for Ontologies in Medical Data Integration: A Case Study

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...

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Bibliographic Details
Main Authors: Anjum, A., Bloodsworth, P., Branson, A., Hauer, T., McClatchey, R., Munir, K., Rogulin, D., Shamdasani, J.
Format: Conference Proceeding
Language:English
Subjects:
Arthritis
Bioinformatics
Biomedical computing
Carbon capture and storage
Cardiac disease
Data engineering
Hospitals
Knowledge management
Ontologies
Pediatrics
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Summary: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 Health- e-Child project.
ISSN:1098-8068
DOI:10.1109/IDEAS.2007.4318120