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Speech recognition in dental software systems: features and functionality.

Jeannie Yuhaniak Irwin1, Shawn Fernando, Titus Schleyer

  • 1Center for Dental Informatics, Department of Biomedical Informatics, University of Pittsburgh, Pittsburgh, PA 15216, United States. jeannie@dental.pitt.edu

Studies in Health Technology and Informatics
|October 4, 2007
PubMed
Summary

Current speech recognition in dental software is not intuitive and requires extensive terminology memorization, hindering clinician computer interaction. Further user testing is planned to assess performance across systems.

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Area of Science:

  • Biomedical Informatics
  • Human-Computer Interaction

Background:

  • Speech recognition offers dentists hands-free computer interaction, crucial for patient care.
  • Despite potential benefits, 16% of dentists discontinue its use, indicating usability challenges.

Purpose of the Study:

  • To evaluate speech recognition features and functionality in four dental software applications.
  • To assess the feasibility of user testing for comparing speech recognition performance across systems.

Main Methods:

  • Evaluated software documentation and programs for speech recognition capabilities.
  • Developed a comparison checklist and charting scripts for feasibility user tests.
  • Conducted feasibility user tests on two selected systems.

Main Results:

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  • Current speech recognition is not intuitive and mimics mouse functionality.
  • Systems necessitate memorizing specific terminology rather than using natural language.
  • User testing is a feasible method for performance comparison.

Conclusions:

  • Limited speech functionality impedes direct clinician-computer interaction during patient care.
  • This limitation may reduce the benefits of electronic patient records and clinical decision support systems.