title: A history-taking system that uses continuous speech recognition.
abstract: Q-MED is an automated history-taking system that uses speaker-independent continuous speech as its main interface modality. Q-MED is designed to allow a patient to enter her basic symptoms by engaging in a dialog with the program. Error-recovery mechanisms help to eliminate findings resulting from misrecognitions or incorrect parses. An evaluation of the natural language parser that Q-MED uses to map user utterances to findings showed an overall semantic accuracy of 87 percent; Q-MED asks more specific questions to capture findings that were not volunteered, or that were unable to be parsed in their initial, open-ended form.
authors: Section on Medical Informatics, Stanford University School of Medicine, CA 94305-5479.
authors: K
authors: K
authors: Johnson
authors: A
authors: A
authors: Poon
authors: S
authors: S
authors: Shiffman
authors: R
authors: R
authors: Lin
authors: L
authors: L
authors: Fagan
mesh_terms: D001416:Back Pain; D005069:Evaluation Studies as Topic; D006801:Humans; D008487:Medical History Taking; D016347:Medical Records Systems, Computerized; D012660:Semantics; D012984:Software; D013060:Speech; D014584:User-Computer Interface