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Ontology-Driven Adaptive Medical Information Collection System

  • Matt-Mouley Bouamrane
  • Alan Rector
  • Martin Hurrell
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4994)

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 context-sensitive 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.

Keywords

Adaptive Property Medical Questionnaire Question Class Patient Medical History Answer Class 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Matt-Mouley Bouamrane
    • 1
    • 2
  • Alan Rector
    • 1
  • Martin Hurrell
    • 2
  1. 1.School of Computer ScienceManchester UniversityUK
  2. 2.CIS InformaticsGlasgowUK

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