Title :
The Requirements for Ontologies in Medical Data Integration: A Case Study
Author :
Anjum, Ashiq ; Bloodsworth, Peter ; Branson, Andrew ; Hauer, Tamás ; McClatchey, Richard ; Munir, Kamran ; Rogulin, Dmitry ; Shamdasani, Jetendr
Author_Institution :
Univ. of the West of England, Bristol
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 Health- e-Child project.
Keywords :
health care; knowledge based systems; medical administrative data processing; medical computing; ontologies (artificial intelligence); Health-e-Child project; biomedical data integration; clinical interpretation; evidence-based medicine; knowledge management; medical knowledge base; ontology; patient medical record; Arthritis; Bioinformatics; Biomedical computing; Carbon capture and storage; Cardiac disease; Data engineering; Hospitals; Knowledge management; Ontologies; Pediatrics;
Conference_Titel :
Database Engineering and Applications Symposium, 2007. IDEAS 2007. 11th International
Conference_Location :
Banff, Alta.
Print_ISBN :
978-0-7695-2947-9
DOI :
10.1109/IDEAS.2007.4318120