Literature DB >> 17911891

Speech recognition in dental software systems: features and functionality.

Jeannie Yuhaniak Irwin1, Shawn Fernando, Titus Schleyer, Heiko Spallek.   

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.

Entities:  

Mesh:

Year:  2007        PMID: 17911891

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  3 in total

1.  Methodology to develop and evaluate a semantic representation for NLP.

Authors:  Jeannie Y Irwin; Henk Harkema; Lee M Christensen; Titus Schleyer; Peter J Haug; Wendy W Chapman
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

Review 2.  A systematic review of speech recognition technology in health care.

Authors:  Maree Johnson; Samuel Lapkin; Vanessa Long; Paula Sanchez; Hanna Suominen; Jim Basilakis; Linda Dawson
Journal:  BMC Med Inform Decis Mak       Date:  2014-10-28       Impact factor: 2.796

3.  Analysis of Errors in Dictated Clinical Documents Assisted by Speech Recognition Software and Professional Transcriptionists.

Authors:  Li Zhou; Suzanne V Blackley; Leigh Kowalski; Raymond Doan; Warren W Acker; Adam B Landman; Evgeni Kontrient; David Mack; Marie Meteer; David W Bates; Foster R Goss
Journal:  JAMA Netw Open       Date:  2018-07-06
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.