Growth & Trends in Speech Recognition | 2015

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“OK, Google–” While speech recognition seems to be dominated by names like Siri, Cortana, and Google Now, this technology has been quietly serving a higher purpose in certain segments of healthcare. The advantages are clear–fewer record errors, improved workflow, simplified communication between IT systems, and a more direct connection between patient and specialist– but these benefits do not come without their tradeoffs. While speech recognition has been around for the past 15 years, it’s a technology that is constantly maturing. Because of this, adoption and training have steeper learning curves than do previous methods, and resistance from some provider groups can be fierce. This analysis uncovers insights both providers and vendors are sure to find valuable by a) analyzing where speech recognition falls both in the bigger picture of healthcare and in specific healthcare segments such as radiology, cardiology, pathology and even in core EHR systems; b) shedding light on current trends and adoption rates; and c) revealing providers’ opinions on current vendors.

Say a command: “What is the collective adoption rate across radiology, cardiology, pathology and EHRs?”

The collective adoption rate shows speech recognition is catching on and will continue to see significant growth over the next several years, but some providers are stubbornly suggesting they will likely never adopt this new technology.

What is the adoption rate for each healthcare segment?

Vendors are left with a small window to capture a piece of the market pie before this becomes a strictly retention and replacement business.

Market and Mind Share not created equal

Market share is an indicator of “what is,” and mind share is an indicator of “what will be.” Which vendors are on their way out?

Bottom line: will the customer recommend their vendor?

Providers revealed the likelihood of recommending their current vendors and why (what makes them tick?).