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A continuous-speech interface to a decision support system: I. Techniques to accommodate for misrecognized input

S Shiffman1, W M Detmer, C D Lane

  • 1Section on Medical Informatics, Stanford University, CA 94305-5479.

Journal of the American Medical Informatics Association : JAMIA
|January 1, 1995
PubMed
Summary

This study shows continuous speech can input clinical findings into medical apps. Physician-created grammars improved speech recognition, but programmatic methods offer better efficiency and maintenance.

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Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Natural Language Processing

Background:

  • Clinical data entry is crucial for medical diagnostic applications.
  • Current methods can be time-consuming and inflexible.
  • Developing efficient and user-friendly input modalities is essential.

Purpose of the Study:

  • To develop a continuous-speech interface for flexible clinical finding input.
  • To integrate speech recognition and language processing for medical applications.

Main Methods:

  • A two-component interface: speech recognition (hardware, software, grammars) and language processing (translator, matcher).
  • Users speak clinical findings, which are converted to text and matched against a controlled vocabulary.
  • Grammars were created by physicians and programmatically.

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Main Results:

  • Physician-created grammars yielded better speech recognition accuracy.
  • Programmatic grammar creation was more time-efficient and maintainable.
  • Language processing recovered some speech misrecognition errors, dependent on synonym dictionaries.

Conclusions:

  • Continuous speech is a feasible method for entering clinical findings into medical applications.
  • Further advancements in speech recognition and language processing are required for widespread clinical adoption.