Today, Nuance and Epic have announced that Nuance’s cloud-based voice recognition will now be available via Epic Haiku for the iPhone and Canto for the iPad. The integration of Nuance’s cloud-based voice recognition in these mobile apps will allow clinicians to work more efficiently on-the-go, while raising the quality of patient care provided through the complete capture of the patient record.
BURLINGTON, Mass., – October 16, 2012 – Nuance Communications, Inc., (NASDAQ: NUAN) today announced that Epic electronic health record (EHR) customers can now experience voice-enabled clinical information capture through Epic Haiku for the iPhone™ and Canto for the iPad™. The integration of Nuance Healthcare’s cloud-based voice recognition in the Haiku and Canto applications will allow users to improve the quality of patient care and increase productivity as a result of streamlined mobile clinical documentation.
According to a recent study by Vitera Healthcare Solutions, nine-out-of-ten physicians are interested in mobile EHR solutions. Recent advancements in mobile EHRs, including voice-enabling clinical documentation and navigation, address this growing interest and provide clinicians with the same experience and functionality they’ve come to expect from their desktop EHR. With Epic’s mobile applications, clinicians will use their voice to work more efficiently on-the-go, while raising the quality of patient care provided through the complete capture of the patient record.
“Epic’s mobile applications provide valuable EHR access both inside and outside the hospital or clinic environment,” said Dr. Jeffrey Westcott, medical director, Cardiac Catherization Lab, Swedish Medical Center. “For me, it’s important to have the on-the-go accessibility provided by tablets and smartphones. Using voice recognition to document a note in Haiku or Canto allows me to seamlessly dictate the patient narrative into the electronic healthcare record using a workflow that suits my style and ensures my focus can remain on patients.”
Nuance’s cloud-based, medical voice recognition builds off of its proven success with the more than 450,000 clinicians worldwide who use Nuance’s Best-in-KLAS clinical documentation solutions on the desktop every day. By leveraging the existing desktop-focused interface, Nuance enables Haiku and Canto customers to connect to Nuance Healthcare’s voice recognition in the cloud. This connectivity will provide maintenance-free access and automatic updates of personal speech profiles, medical vocabularies and user-defined shortcuts. Customers can also enter progress notes, histories and physical exams via voice.
“Clinicians’ work lives are not conducive to a desk and chair; they need the flexibility of a mobile environment to support their workflow – between exam rooms, clinics and hospitals – and all at a moment’s notice,” said Janet Dillione, executive vice president and general manager, Nuance Healthcare. “Still, issues surrounding the adoption of mobile technologies remain, including limitations surrounding laborious touchscreen keyboards. With voice-enabled mobile EHR applications, clinicians can enjoy the benefits of the Nuance-powered functionality anytime, anywhere.”
To learn more about Nuance’s cloud-based, medical voice recognition solution, please visit: www.poweredbynuancehealthcare.com
Nuance Healthcare, a division of Nuance Communications, is the market leader in providing clinical understanding solutions that accurately capture and transform the patient story into meaningful, actionable information. Thousands of hospitals, providers and payers worldwide trust Nuance voice-enabled clinical documentation and analytics solutions to facilitate smarter, more efficient decisions across the healthcare enterprise. These solutions are proven to increase clinician satisfaction and HIT adoption, help organizations achieve Meaningful Use of EHR systems and support the shift to accountable care. Recognized as “Best-in-KLAS” 2004-2011 for Voice Recognition we invite you to learn more, http://www.nuance.com/for-healthcare/index.htm.