Ontology-driven adaptive medical information collection system

  • Authors:
  • Matt-Mouley Bouamrane;Alan Rector;Martin Hurrell

  • Affiliations:
  • School of Computer Science, Manchester University, UK and CIS Informatics, Glasgow, UK;School of Computer Science, Manchester University, UK;CIS Informatics, Glasgow, UK

  • Venue:
  • ISMIS'08 Proceedings of the 17th international conference on Foundations of intelligent systems
  • Year:
  • 2008

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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.