KLAS: MedQuist tops list of front-end speech recognition systems

Twitter icon
Facebook icon
LinkedIn icon
e-mail icon
Google icon

MedQuist’s SpeechQ product has rated No. 1 for front-end speech recognition in the KLAS Enterprise Speech Recognition Report. Powered by Philips' SpeechMagic engine, SpeechQ is designed to increased report volume, potentially from 2 percent to more than 90 percent; requires that fewer (less than 1 percent) of reports need to be sent to a medical editor; and can help users see an 80 percent reduction in incomplete reports.

KLAS regularly conducts queries and interviews with more than 4,500 hospitals to develop an extensive database of various healthcare vendors' products and services. MedQuist, which was evaluated on its front-end speech recognition this year for the first time, received the highest average score in each indicator category for front-end speech recognition.