A preliminary comparison of speech recognition functionality in dental practice management systems.
In this study, we examined speech recognition functionality in four leading dental practice management systems. Twenty dental students used voice to chart a simulated patient with 18 findings in each system. Results show it can take over a minute to chart one finding and that users frequently have to repeat commands. Limited functionality, poor usability and a high error rate appear to retard adoption of speech recognition in dentistry.
Irwin
Jeannie Y
JY
University of Pittsburgh, Pittsburgh, PA, USA.
Schleyer
Titus
T
D000465:Algorithms; D001185:Artificial Intelligence; D048048:Dental Informatics / Q000379:methods*; D016247:Information Storage and Retrieval / Q000379:methods*; D008487:Medical History Taking / Q000379:methods*; D016347:Medical Records Systems, Computerized; D009323:Natural Language Processing; D010363:Pattern Recognition, Automated / Q000379:methods*; D010414:Pennsylvania; D010865:Pilot Projects; D049250:Speech Recognition Software