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Related Experiment Videos

Recognition accuracy with a voice-recognition system designed for anesthesia record keeping.

N T Smith1, R A Brien, D C Pettus

  • 1Department of Anesthesia, University of California, San Diego.

Journal of Clinical Monitoring
|October 1, 1990
PubMed
Summary
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Voice-recognition systems for anesthetic record keeping showed high accuracy, with slight decreases in noisy operating rooms. Performance improved after removing difficult words and excluding outlier scores, demonstrating practical utility.

Area of Science:

  • Medical Informatics
  • Speech Recognition Technology

Background:

  • Voice-recognition systems offer potential for efficient anesthetic record keeping.
  • Accurate data entry is crucial for patient safety and clinical workflow.

Purpose of the Study:

  • To evaluate the accuracy of voice-recognition systems for anesthetic records.
  • To compare system performance in laboratory versus real-world operating room environments.

Main Methods:

  • Anesthetists trained and tested two voice-recognition systems on anesthetic terms.
  • Recognition accuracy was measured as the percentage of correctly recognized words.
  • Tests were conducted on a prototype system, a commercial system in a lab, and the commercial system in operating rooms.

Main Results:

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  • Overall accuracy was high, ranging from 95.3% to 96.5% across tests.
  • Accuracy was lowest in noisy operating rooms (95.3%) compared to laboratory settings (96.5%).
  • Excluding difficult words and outlier scores improved laboratory accuracy to 98.2% and operating room accuracy to 96.5%.

Conclusions:

  • Voice-recognition systems demonstrate considerable accuracy for anesthetic record keeping.
  • Environmental noise and specific vocabulary present challenges to system performance.
  • System refinement and user-specific adjustments can optimize accuracy in clinical settings.