Google front-end voice recognition leaves 20% error rate for physician self-edit.

Google front-end voice recognition leaves 20% error rate for physician self-edit.

Everyone is hearing the stories how unhappy physicians are these days while searching for a balance between productivity and electronic health record documentation. EHR templates are often too restrictive leaving the patient story untold by the resulting data and front-end speech recognition engines result in leaving too much self-editing work for the physician.  Imagine the time it would take a provider to self-edit a document with an error rate of 20% when conventional transcription error rates of over 2% are deemed unacceptable by today's quality assurance standards.

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Med-Scribe's team of medical language specialists are trained in conventional transcription and speech editing to provide a seamless, productive experience for the physician. MedScribe also offers an online document completion processes for practices needing assistance documenting inside their EHR. Physicians can use this process to create a hybrid experience that improves overall satisfaction and improves the patient/doctor interaction at the point of care.

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