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NUANCE 0POWM2-005 POWERMIC II DICTAPHONE SPEECH RECOGNITION HAND HELD MICROPHONE TESTED

SKU 1643
$180.00
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NUANCE 0POWM2-005 POWERMIC II DICTAPHONE SPEECH RECOGNITION HAND HELD MICROPHONE TESTED
Product Details

Overview:

A Speech Recognition Hand-held Microphone for Use with Dragon® Medical Practice Edition 2. Works as well for the previous version Dragon Medical Practice Edition, PowerScribe for Radiology, and Enterprise Express.

The Nuance PowerMic II is the preferred sound input device for speech recognition software programs, like Dragon Medical Practice Edition 1 and Dragon Medical Practice Edition 2. The tethered USB microphone is specially designed to help with physician and clinician transcription; offering simplified thumb-controlled operation for dictations. Users in medical practices are able to dictate, navigate, review, and edit voice recognition generated documents while saving time from having to move between the microphone, mouse, and keyboard.

Features:

  • USB connection for easy plug-and-play installation.
  • 9 ft. professional grade cable for extended dictation independence within office.
  • 10 programmable buttons for full dictation control.
  • Unique “Track-Point” button and left/right “mouse” button.
  • Low-noise, high-quality microphone.
  • Fully integrated interface for Nuance speech recognition software.
  • Rapidly navigating through report template fields using your own voice enables greater dictation speed. The raw speed of dictating with your own voice saves significant time from having to type clinical documentation. Users of the PowerMic II microphone also gain benefit from its flush, angled microphone element which is essential for noise-canceling voice recognition and optimal recording results.
  • The design of Nuance’s PowerMic II is ergonomic to best fit a physician or clinician’s natural hand movements for comfortable use when verbally dictating patient notes and assessments. It’s a professional microphone for users who are looking to achieve the greatest results from their speech-to-text transcriptions.