Automatic generation of spoken dialogue from medical plans and ontologies.
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.
Advanced Computation Lab, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK. martinbeveridge@slingshot.co.nz
Martin
M
Beveridge
John
J
Fox
D001185:Artificial Intelligence; D003142:Communication; D003658:Decision Making, Computer-Assisted; D020000:Decision Support Systems, Clinical; D003660:Decision Support Systems, Management / Q000458:organization & administration; D003936:Diagnosis, Computer-Assisted / Q000379:methods; D005103:Expert Systems / Q000295:instrumentation; D006801:Humans; D016347:Medical Records Systems, Computerized