SPOKEN LANGUAGE INPUT FOR A PATIENT NOTE SYSTEM

Sasha Caskey, Kathleen McKeown, Desmond Jordan, Julia Hirschberg

2009

Abstract

In developing a system to help CTICU physicians write patient notes, we hypothesized that a spoken language interface for entering observations after physical examination would be more convenient for a physician than a more traditional menu-based system. We developed a prototype spoken language interface, allowing input of one type of information, with which we could experiment with factors impacting use of speech. In this paper, we report on a sequence of experiments where we asked physicians to use different interfaces, testing how such a system could be used as part of their workflow as well as its accuracy in different locations, with different levels of domain information. Our study shows that we can significantly improve accuracy with integration of patient specific and high coverage domain grammars.

References

  1. Wang SS, Starren JB. A Java speech implementation of the mini-mental status exam. Proceedings of the AMIA Annual Fall Symposium; Hanley&Belfus, Philadelphia, 1999: 435-439.
  2. Owens, S.. New Operations in Speech. Speechteg Magazine, August 2005
  3. Zue, V., S. Seneff, J. Glass, J. Polifroni, C. Pao, T. Hazen and L. Hetherington, Jupiter: A Telephone-based Conversational Interface for Weather Information, IEEE Trans. on Speech and Audio Processing, 8(1), 2000.
  4. International Classification of Diseases, Ninth Revision, Clinical Modification, NCHS, 2007.
  5. National Library of Medicine. Documentation, UMLS Knowledge Sources. 2007AC Edition, May 2007.
  6. McCray AT, Bodenreider O, Malley J and Browne AC. Evaluating UMLS Strings for Natural Language Processing. Proc AMIA Symp 2001.
  7. Ackermann, Chantal and Libossek, Marion (2006): System-versus user-initiative dialog strategy for driver information systems, In INTERSPEECH-2006, paper 1172-Mon2FoP.3.
  8. Bouillon, P. and Halimi, S. and Rayner, M. and Hockey, B. A. Adapting a Medical speech to speech translation system (MedSLT) to Arabic. Proceedings of the 2007 Workshop on Computational Approaches to Semitic Languages: Common Issues and Resources
  9. Strzalkowski, T. and Brandow, R. A Natural Language Correction Model for Continuous Speech Recognition. 5th Workshop on Very Large Corpora, EMNLP 1997
  10. Bangalore, S. and Johnston, M. Balancing data-driven and rule-based approaches in the context of a Multimodal Conversational System. HLT-NAACL 2004: Main Proceedings
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Paper Citation


in Harvard Style

Caskey S., McKeown K., Jordan D. and Hirschberg J. (2009). SPOKEN LANGUAGE INPUT FOR A PATIENT NOTE SYSTEM . In Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009) ISBN 978-989-8111-63-0, pages 323-328. DOI: 10.5220/0001554603230328


in Bibtex Style

@conference{healthinf09,
author={Sasha Caskey and Kathleen McKeown and Desmond Jordan and Julia Hirschberg},
title={SPOKEN LANGUAGE INPUT FOR A PATIENT NOTE SYSTEM},
booktitle={Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)},
year={2009},
pages={323-328},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0001554603230328},
isbn={978-989-8111-63-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the International Conference on Health Informatics - Volume 1: HEALTHINF, (BIOSTEC 2009)
TI - SPOKEN LANGUAGE INPUT FOR A PATIENT NOTE SYSTEM
SN - 978-989-8111-63-0
AU - Caskey S.
AU - McKeown K.
AU - Jordan D.
AU - Hirschberg J.
PY - 2009
SP - 323
EP - 328
DO - 10.5220/0001554603230328