Ontology-Driven Adaptive Medical Information Collection System

Citation

Bouamrane M, Rector A & Hurrell M (2008) Ontology-Driven Adaptive Medical Information Collection System. In: An A, Matwin S, Ras ZW & Slezak D (eds.) Foundations of Intelligent Systems (ISMIS 2008). Lecture Notes in Computer Science (LNCS), 4994. International Symposium on Methodologies for Intelligent Systems, Toronto, 20.05.2008-23.05.2008. Berlin: Springer Berlin Heidelberg, pp. 574-584. https://doi.org/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 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
Context-sensitive Adaptation; Health Information Collection systems; Questionnaire Ontologies