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Continuous speech recognition for clinicians.

A Zafar1, J M Overhage, C J McDonald

  • 1Indiana University, Regenstrief Institute for Health Care, Indianapolis 46202-2859, USA. zafar_a@regenstrief.iupui.edu

Journal of the American Medical Informatics Association : JAMIA
|May 20, 1999
PubMed
Summary
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High-accuracy continuous speech recognition (CSR) systems are now viable for medical dictation. Optimizing accuracy requires a comprehensive medical dictionary and clear speech, with ambient noise having minimal impact.

Area of Science:

  • Medical Informatics
  • Human-Computer Interaction
  • Speech Technology

Background:

  • Continuous Speech Recognition (CSR) systems offer high accuracy (>95%) at natural speech rates on affordable platforms.
  • These systems are increasingly considered as alternatives to expensive human transcription services for medical dictation.

Purpose of the Study:

  • To summarize the state-of-the-technology for current CSR systems.
  • To provide insights into managing accuracy and usability based on extensive testing of one product and superficial testing of others.

Main Methods:

  • Dictation of 50 discharge summaries using an inexpensive internal medicine dictionary and comparing it with more expensive commercial medical vocabularies.
  • Evaluation of user speaking style requirements (clarity, continuous speech, syllable pronunciation).

Related Experiment Videos

  • Assessment of error correction impact on accuracy over time.
  • Testing in diverse clinical settings (emergency room, wards, offices) to evaluate ambient noise effects.
  • Determination of minimal hardware configuration for usable performance.

    • Main Results:

    • Adding 400 terms to an inexpensive dictionary (under $100) was necessary to achieve 98% recognition accuracy.
    • Expensive medical vocabularies ($349-$695) provided 98% accuracy without requiring additional terms.
    • Users must speak clearly; accuracy improved by at least 5% over two weeks with error correction.
    • Ambient noise had minimal effect on recognition accuracy.
    • A 300-MHz Pentium processor with 128 MB RAM and a speech-quality sound card is a minimal usable hardware configuration.
    • 97% accuracy was achieved with 30 minutes of training using a supplemented commercial medical dictionary.

    Conclusions:

    • Current CSR technology, when optimized with appropriate dictionaries and user training, offers high accuracy for medical dictation.
    • The cost-effectiveness and performance advancements make CSR a strong contender to replace traditional dictation methods.