Collom and Carney Clinic Association Implements M*Modal's Voice-Enabled EMR Systems
October 02, 2012
One of the largest multi-specialty physician group practices, Collom and Carney Clinic Association, has recently implemented M*Modal Fluency Direct, an industry-leading Speech Understanding solution, for its physicians. The move is aimed at voice-enabling its EMR systems so that it is possible for these physicians and other personnel to capture complete patient narratives from any device, anywhere and at anytime.
With its ease of use and no-hitch implementation, the M*Modal Fluency Direct was quick to impress the team of physicians at the clinic. According to the staff’s accounts, this flexible speech recognition solution enabled clinical staff to quickly and easily document critical patient information in real-time and from multiple locations, including remote or out-of-office locations.
With this solution, the clinicians can instantly capture and store information just by plugging into any workstation. Leveraging the versatility of the Cloud, M*Modal's advanced Natural Language Understanding (NLU) technology eliminates errors in speech recognition for a faster documentation and a more satisfying physician experience.
“Our physicians were immediately impressed by the ease of use and the significant difference in accuracy once we upgraded our system from our previous speech recognition provider and began using M*Modal Fluency Direct. The implementation process went off without a hitch, and the ability to simply plug-and-play without losing time to get acquainted with technology has been invaluable,” CIO of Collom and Carney Clinic Robert Haley, acknowledged in a statement.
M*Modal maintains that its Speech Understanding solution was designed with the physician in mind and created specifically for healthcare professionals and as such it is quite capable of understanding the physician language with extreme precision.
The solution builds on the combined learning from more than 200,000 physicians. Integrating speech recognition and NLU processing in a single step, it enables to associate the meaning behind each spoken word when the electronic text is created, making a physician's words instantly actionable by electronic systems to drive a clinical workflow process and more.
“We make the process of capturing patient information as easy as possible. And for time-strapped physicians, having the freedom to dictate patient encounters at their own convenience and in a completely natural and conversational manner helps to capture much richer meaning from every patient-doctor encounter. At the end of the day, our solution is simplifying clinicians' interactions with electronic medical records and other clinical systems and driving towards much better outcomes for their patients,” a company explained in a statement.
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Edited by Allison Boccamazzo
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