Ontology-driven adaptive medical information collection system

Bouamrane, M.-M., Rector, A. and Hurrell, M. (2008) Ontology-driven adaptive medical information collection system. Lecture Notes in Computer Science, 4994, pp. 574-584. (doi: 10.1007/978-3-540-68123-6_62)

Abstract

Computer-based surveys and questionnaires have become ubiquitous. Yet in many cases, Information Collection Systems (ICS) offer limited support in terms of tailoring structure and content of surveys in response to user interaction. Previous techniques for content adaptation such as conditional branching do not scale well and are also hard to maintain as structural dependencies in a survey often need to be hard-coded in the system. We here propose a generic model for contextsensitive self adaptation of ICS, based on a questionnaire ontology. We illustrate the model with a description of our own medical ICS implementation and discuss the potential benefits of such system, especially in the context of tailored healthcare.

• Item Type: Articles
• Additional Information: Paper presented at the 17th International Conference on Foundations of Intelligent Systems, Toronto, Canada, 20-23 May 2008
• Keywords: Ontology, clinical decision support systems, adaptive patient medical questionnaires, preoperative assessment
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Bouamrane, Dr Matt-Mouley
• Authors: Bouamrane, M.-M., Rector, A., and Hurrell, M.
• Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science; Q Science > QA Mathematics > QA76 Computer software; R Medicine > RA Public aspects of medicine > RA0421 Public health. Hygiene. Preventive Medicine
• College/School: College of Medical Veterinary and Life Sciences > School of Health & Wellbeing > General Practice and Primary Care
• Journal Name: Lecture Notes in Computer Science
• Publisher: Springer
• ISSN: 0302-9743