@inproceedings{b90dac91c5ff4ed881e4914f5e0f1dbf,
title = "Speech driven natural language understanding for hands-busy recording of clinical information",
abstract = "The hands-busy nature of many clinical examinations means that keyboard and mouse driven interface paradigms are unable to capture medical information at source. The impact of compromised data integrity when using such systems and their inability to serve the needs of clinicians in an endoscopic context is examined. A speech driven application has been developed to serve the clinical process of endoscopy and record data at source. The system exploits the power of a natural narrative to capture and generate consistent visual and textual clinical information.",
author = "Barker, {D. J.} and Simon Lynch and Simpson, {D. S.} and Corbett, {W. A.}",
year = "1999",
month = jan,
day = "1",
language = "English",
isbn = "354066162X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "411--415",
editor = "Werner Horn and Greger Lindberg and Jeremy Wyatt and Steen Andreassen and Yuval Shahar",
booktitle = "Artificial Intelligence in Medicine - Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999, Proceedings",
address = "Germany",
note = "7th Joint European Conference on Artificial Intelligence in Medicine and Medical Decision Making, AIMDM 1999 ; Conference date: 20-06-1999 Through 24-06-1999",
}