Care pathway records and variance data: enabling research through the use of ontologies

Olive, M., Lashwood, A. and Solomonides, T. (2010) Care pathway records and variance data: enabling research through the use of ontologies. In: 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2010), Perth, Australia, 12th-15th October, 2010.

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Abstract

Integrated care pathways (ICPs), a fine-grained form of medical guideline including the explicit recording of any deviation, or ‘variance’, could serve as a rich source of data for research. Not only do they incorporate a wealth of operational knowledge, but feeding the results of the analysis of variance into the development of a pathway could be an effective way of capturing evidence from practice. In our principal case study we propose a system for extracting data from care pathways with the aid of ontologies, and a method for inferring ICPs from other patient records, combining these with data collected for retrospective and prospective studies in preimplantation genetic diagnosis (PGD) for assisted reproduction.

Item Type:Conference or Workshop Item (Paper)
Additional Information:Copyright © 2010 IEEE. Reprinted from 23rd IEEE International Symposium on Computer-Based Medical Systems (CBMS 2010), 12th-15th October, 2010, Perth, Australia. This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of the products or services of the University of the West of England. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to pubs-permissions@ieee.org. By choosing to view this document, you agree to all provisions of the copyright laws protecting it.
Uncontrolled Keywords:care pathways, guidelines, knowledge management, ontologies
Faculty/Department:Faculty of Environment and Technology > Department of Computer Science and Creative Technologies
ID Code:13324
Deposited By: M. Olive
Deposited On:04 Nov 2010 15:34
Last Modified:14 Aug 2013 03:43

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