Speech recognition in dental software systems: features and functionality.

Jeannie Yuhaniak Irwin, Shawn Fernando, Titus Schleyer, Heiko Spallek

Research output: Chapter in Book/Report/Conference proceedingChapter

7 Citations (Scopus)

Abstract

Speech recognition allows clinicians a hands-free option for interacting with computers, which is important for dentists who have difficulty using a keyboard and a mouse when working with patients. While roughly 13% of all general dentists with computers at chairside use speech recognition for data entry, 16% have tried and discontinued using this technology. In this study, researches explored the speech recognition features and functionality of four dental software applications. For each system, the documentation as well as the working program was evaluated to determine speech recognition capabilities. A comparison checklist was created to highlight each program's speech functionality. Next, after the development of charting scripts, feasibility user tests were conducted to determine if performance comparisons could be made across systems. While four systems were evaluated in the feature comparison, only two of the systems were reviewed during the feasibility user tests. Results show that current speech functionality, instead of being intuitive, is directly comparable to using a mouse. Further, systems require memorizing an enormous amount of specific terminology opposed to using natural language. User testing is a feasible way to measure the performance of speech recognition across systems and will be conducted in the near future. Overall, limited speech functionality reduces the ability of clinicians to interact directly with the computer during clinical care. This can hinder the benefits of electronic patient records and clinical decision support systems.

Original languageEnglish (US)
Title of host publicationMedinfo. MEDINFO
Pages1127-1131
Number of pages5
Volume12
EditionPt 2
StatePublished - 2007
Externally publishedYes

Fingerprint

Tooth
Software
Dentists
Clinical Decision Support Systems
Aptitude
Checklist
Terminology
Documentation
Language
Hand
Technology
Research

ASJC Scopus subject areas

  • Medicine(all)

Cite this

Yuhaniak Irwin, J., Fernando, S., Schleyer, T., & Spallek, H. (2007). Speech recognition in dental software systems: features and functionality. In Medinfo. MEDINFO (Pt 2 ed., Vol. 12, pp. 1127-1131)

Speech recognition in dental software systems : features and functionality. / Yuhaniak Irwin, Jeannie; Fernando, Shawn; Schleyer, Titus; Spallek, Heiko.

Medinfo. MEDINFO. Vol. 12 Pt 2. ed. 2007. p. 1127-1131.

Research output: Chapter in Book/Report/Conference proceedingChapter

Yuhaniak Irwin, J, Fernando, S, Schleyer, T & Spallek, H 2007, Speech recognition in dental software systems: features and functionality. in Medinfo. MEDINFO. Pt 2 edn, vol. 12, pp. 1127-1131.
Yuhaniak Irwin J, Fernando S, Schleyer T, Spallek H. Speech recognition in dental software systems: features and functionality. In Medinfo. MEDINFO. Pt 2 ed. Vol. 12. 2007. p. 1127-1131
Yuhaniak Irwin, Jeannie ; Fernando, Shawn ; Schleyer, Titus ; Spallek, Heiko. / Speech recognition in dental software systems : features and functionality. Medinfo. MEDINFO. Vol. 12 Pt 2. ed. 2007. pp. 1127-1131
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