With the advent of the EMR, providers are doing more and more with regard to patient data input. From a provider perspective, additional time spent in front of a computer means less time working with patients.

Real-time (or “front-end”) speech recognition at the point of care has made some providers more efficient, but it’s not a universal solution. Whether it’s the time required to learn the system, specialized workflow needs or their unique speech patterns, many providers are just not a good fit for front-end speech recognition. When they don’t have another option, frustration ensues.

It is well known in the electronic medical record (EMR) journey that there is a tangible difference between EMR implementation and EMR adoption. The implementation phase, a well-defined, subsidized, singular event, has been compared to a wedding: while significant, it’s not necessarily predictive of the long-term outcome. The adoption phase, in contrast, is rarely defined, difficult to measure and requires a level of engagement and commitment that is often overlooked.

To our fellow HIMSS attendees:
The nVoq Healthcare team will be onsite next week at HIMSS and welcomes the opportunity to talk toyou about SayIt – the true cloud-based platform that’s affordable, accessible and a great alternative tomore expensive speech recognition solutions.

The challenge of working with EMRs can’t be underestimated: sometimes I think charting into the EMR is harder than the medicine I practice! That is why tools such as speech-recognition …

When I talk to clinicians about SayIt, they’re often skeptical at first. “Nothing can make my EMR easier to use,” is a common response. So when they see that SayIt is more than a tool for dictation—that it includes easy-to-use shortcuts and tools to automate EMR macros, populate templates, and maneuver between applications—they get very excited.