Cost Effective Speech Alternatives
Pay per Line – a better way to utilize Speech Recognition for general medical dictation.
The biggest issue in Speech Recognition today isn’t the accuracy of the processing engines, it is in the pricing models of the vendors. Our competitors simply make it too costly for facilities to widely adopt Speech Recognition. Large and small facilities alike cannot readily afford the equipment and licensing to get involved, hoping to save money.
When paying by the Author, facilities are more likely to only deploy Speech Recognition to those Authors that have very high success rates as well as very high dictation volumes, thereby limiting the potential overall savings. Who does Speech Rec makes sense for? All Clinicians? Most? Just some?
When you pay a license fee per Author, Speech Rec is only cost-effective for those with heavy report volumes, like Radiologists. But when you pay by the line, it makes sense for everyone to try Speech Rec. The more who use it with success, the greater your savings and total Return on Investment (ROI).
ROI is always a primary objective in process automation, and Speech Recognition is no exception. High capital expense means a heavily scrutinized investment by management, and it also means a longer period before measurable savings are recognized. How better to determine if Speech Recognition will benefit your organization and provide the savings and efficiencies you hope it will than to test it out without a large capital investment? Why pay for expensive, upfront user licensing in hopes that your Clinicians will have success?
Buy by the line, not the license and start saving significant money right now for non-specialized dictation.
We make Dragon better.
For specialized dictation, like Radiology, our integrated Dragon Naturally Speaking workflow is ideal for facilities of all sizes. Furthermore, we make Dragon better by offering both a Real-time (Front-End) workflow in tandem with a Traditional dictation (Typed/Back-End) workflow for the best of all worlds. In addition, once reports are submitted from a Dragon user BayScribe can process the report through the NLP/IMO engine to extract the structured data and then export that data to the EHR/RIS or any number of systems.
