Automatic generation of spoken dialogue from medical plans and ontologies

  • Authors:
  • Martin Beveridge;John Fox

  • Affiliations:
  • Advanced Computation Lab, Cancer Research UK, London, UK;Advanced Computation Lab, Cancer Research UK, London, UK

  • Venue:
  • Journal of Biomedical Informatics - Special issue: Dialog systems for health communications
  • Year:
  • 2006

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Abstract

This paper presents some research undertaken as part of the EU-funded HOMEY project, into the application of intelligent dialogue systems to healthcare systems. The work presented here concentrates on the ways in which knowledge of underlying task structure (e.g., a medical guideline) can be combined with ontological knowledge (e.g., medical semantic dictionaries) to provide a basis for the automatic generation of flexible and re-configurable dialogue. This approach is next evaluated via a specific application that provides decision support to general practitioners to help determine whether or not a patient should be referred to a cancer specialist. The competence of the resulting dialogue application, its speech recognition performance, and dialogue performance are all evaluated to determine the applicability of this approach.