The key to cost effective speech recognition deployment is the ability to accurately identify physicians who can produce system recognizable voice files. The system seamlessly routes these qualified files back into the normal editing and distribution workflow after processing.
With FutureNet's WebEHR platform, qualified voice files are routed from the manual transcription process to the speech recognition engine just as jobs route to specific transcriptionists or work pools. Electronically generated drafts are then forwarded to the speech recognition editing team based on the same workflow management options available for manual transcription. Edited documents route back into the standard distribution module in a way that is indistinguishable to the physicians.
FutureNet utilizes leading third party speech recognition applications for the voice to text conversions. Pricing for this option is by processed report volume. This ensures clients aren't burdened with volume requirements or upfront expenses such as hardware or software purchases.
As speech recognition technology continues developing and increasing in popularity, some physicians are willing to use speech recognition software on the front end to speed up the documentation process while saving the costs of regular transcription and professional editing services.
FutureNet's WebEHR platform has the capability to incorporate frontend speech recognition engines from leading third party vendors. With FutureNet's platform, physicians can generate patient reports with available onscreen patient ADT information, pre-defined report templates and related physician lists. Once they select the right patient and correct report type, the pre-defined template will be displayed for them to create the report. Once the doctor finishes this process, the report will be integrated with all other transcribed reports for HIM department access and distribution to predefined locations.