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"Speech recognition is the only IT solution I have introduced in 20 years that led to measurable cost savings" Per Urdahl, Head of the medical depratment Telemark HF hospital, Norway Read more
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Benefits for doctors |
- Using frontend speech recognition
clinicians dictate, self-edit and sign transcription-free, completed reports in one sitting and have full control. Alternatively you can also delegate the draft to your transcription centre.
- Using backend speech recognition
clinician dictations are turned into speech-recognised drafts that MTs edit, resulting in up to 100% gains in their productivity when compared to traditional transcription.
- Using remote speech recognition
clinicians can access the dictation and speech recognition system outside the central network, on a laptop or tablet pc. When reconnecting the device to the network, the central functions and services are performed.
- High initial performance:
doctors using online interactive speech recognition can now easily add and remove words themselves. This enables them to build up their own customised recognition vocabularies in addition to the centralised vocabularies for all users of a site. Together with the enlarged out-of-the-box vocabulary and advanced learning algorithms the performance and accuracy of the speech recognition engine has been raised significantly.
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Benefits for CIOs/CFOs |
- Accelerate EHR adoption, maximise system ROI
- Reduce operational costs and eliminate system maintenance
- Control costs, improve revenue cycle, and increase MT productivity
SpeechMagic is seamlessly integrated into information systems (IS) or reporting solutions, enabling the end user to efficiently capture information within their familiar working environment.
SpeechMagic captures dictated information and automatically generates formatted and structured medical information, saving valuable time and raising documentation quality.
Key Performance Indicators deliver data about return on investment and the efficiency of medical documentation for evidence-based decision making in healthcare administration.
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