Kostkova, P;
Kumar, A;
Roy, A;
Weinberg, J;
Madle, G;
Carson, E;
(2004)
Ontological Principles of Disease Management from Public Health Perspective: a Tuberculosis Case Study.
In:
Proceedings of the Healthcare Digital Libraries Workshop - HDL 2004.
ACM (Association for Computing Machinery)
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Abstract
Formal ontological representation of clinical conditions and disease management is a key methodology ensuring that the complex knowledge of disease treatment, control and prevention can be represented, stored and accessed in the most appropriate way to help the medical professionals in their decision making. This is of particular importance for the public health domain where the concern is about the affect of the disease on populations rather than individuals.The existing evidence-based knowledge can best be used by professionals if incorporated into care pathways (formal or informal) which relate the sequence of actions necessary for accurate management of diseases to the progression of the illness and treatment. Therefore, there is a need for an ontological framework to be built around care pathways in order to allow the professionals to access the most relevant information at the time of making a decision. In this paper we will illustrate a Tuberculosis (TB) care pathway, as developed at City University, and show how a formal ontological representation can, in principle, serve the needs of information retrieval around this particular disease.
Type: | Proceedings paper |
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Title: | Ontological Principles of Disease Management from Public Health Perspective: a Tuberculosis Case Study |
Event: | Healthcare Digital Libraries Workshop - HDL 2004 |
Location: | Bath, UK |
Dates: | 16 September 2004 |
Open access status: | An open access version is available from UCL Discovery |
Language: | English |
Additional information: | This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions. |
Keywords: | Tuberculosis, Disease Management, National electronic Library of Infection, HL7, Snomed CT |
UCL classification: | UCL UCL > Provost and Vice Provost Offices > UCL BEAMS UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Maths and Physical Sciences > Inst for Risk and Disaster Reduction |
URI: | https://discovery.ucl.ac.uk/id/eprint/10084406 |
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