Speech recognition's accuracy better than human transcription..

 

 Welcome news for speech recognition proponents!

 HealthImaging.com (a site for Healthcare IT professionals) posted a news article yesterday, December 13, about a presentation at the Radiological Society of North America (RSNA)'s annual meeting last month, documenting that the reports which were manually transcribed by humans, showed higher error rates than the reports that were transcribed through speech recognition!

 John Floyd, MD a partner in the 24-member Radiology Consultants of Iowa (RCI), reported “The rate for significant errors, requiring the preparation of an addendum, was 0.6 percent for speech recognition and 2 percent for traditional transcription.”

 Floyd also noted speech recognition significantly increased his firm's efficiency: "Separate data for this practice indicated that average turn-around time for traditional transcription was greater than 24 hours while that for speech recognition was less than one hour.."

 Dr. Floyd further confirmed that the accuracy rate for speech recognition reported by his group was independently verified by 3rd party analysis, conducted at one of the hospitals his partnership services.

 In an On10Net blog post, Bill Crounse MD, Healthcare Industry Director for Microsoft Corporation predicted earlier this year that speech recognition would open up new vistas in the healthcare industry..

 We're pleased to see his predictions coming true!