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Computerized speech recognition for anesthesia recordkeeping.
Medical Instrumentation
|January 1, 1983
Summary
This study introduces EARS, a speech recognition system for anesthesia recordkeeping. It allows data entry via voice commands, with verification to ensure accuracy.
Area of Science:
- Medical Informatics
- Human-Computer Interaction
Background:
- Automated anesthesia recordkeeping systems require efficient data entry methods.
- Current methods may be cumbersome, impacting workflow and data accuracy.
Purpose of the Study:
- To develop and describe EARS, a computerized speech recognition system.
- To simplify data entry for automated anesthesia recordkeeping.
Main Methods:
- EARS is an isolated-word, speaker-dependent system with a 350-word vocabulary.
- Users train the system to their voice; data entered via spoken words and organized into sentences.
- A speech synthesizer provides auditory feedback for verification and error correction.
Main Results:
- The system is designed with attention to human factors.
- Performance has not yet been quantitatively measured but appears acceptable.
Conclusions:
- EARS offers a potentially user-friendly solution for anesthesia recordkeeping data entry.
- Further performance evaluation is needed to validate its effectiveness.