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.
Beveridge
Martin
M
Advanced Computation Lab, Cancer Research UK, 44 Lincoln's Inn Fields, London WC2A 3PX, UK. martinbeveridge@slingshot.co.nz
Fox
John
J
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