Link to the University of Pittsburgh Homepage
Link to the University Library System Homepage Link to the Contact Us Form

Speech recognition in dental software systems: Features and functionality

Yuhaniak Irwin, J and Fernando, S and Schleyer, T and Spallek, H (2007) Speech recognition in dental software systems: Features and functionality. Studies in Health Technology and Informatics, 129. 1127 - 1131. ISSN 0926-9630

[img] Plain Text (licence)
Available under License : See the attached license file.

Download (1kB)


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. © 2007 The authors. All rights reserved.


Social Networking:
Share |


Item Type: Article
Status: Published
CreatorsEmailPitt UsernameORCID
Yuhaniak Irwin, J
Fernando, S
Schleyer, Ttitus@pitt.eduTITUS0000-0003-1829-971X
Spallek, Hhspallek@pitt.eduHSPALLEK
Centers: Other Centers, Institutes, Offices, or Units > Center for Dental Informatics
Date: 1 December 2007
Date Type: Publication
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Journal or Publication Title: Studies in Health Technology and Informatics
Volume: 129
Page Range: 1127 - 1131
Institution: University of Pittsburgh
Schools and Programs: School of Dental Medicine > Dental Science
Refereed: Yes
ISSN: 0926-9630
Date Deposited: 02 Oct 2012 18:51
Last Modified: 05 Dec 2017 15:55


Monthly Views for the past 3 years

Plum Analytics

Actions (login required)

View Item View Item