Health IT Adoption Phase 2.0: Where Does Analytics Fit In?
The wave of health IT adoption has grown considerably in the last 10 years; and we’re currently at a place where EMR adoption is near universal.
So What’s Next?
The latest Essentials Brief on Clinical & Business Intelligence looked at current market adoption of analytic solutions across the entire U.S. healthcare market. This study examined where organizations are focusing their analytical efforts.
Analytics Has Been Slow to Develop, Particularly in Clinical Settings
According to our LOGIC market intelligence platform, there is still limited adoption of clinical intelligence solutions, at just 48% (of the U.S. market). Why is this the case? There’s been an influx of “too much” data, which has led to many questions around what data is important and how to standardize it for best use in clinical settings. The focus, to date, has been on meeting Meaningful Use requirements but as adoption 2.0 evolves, healthcare organizations will become more sophisticated in their approach to analytics.
What About Artificial Intelligence?
Artificial Intelligence (AI) is currently a hot topic in many industries. But the level of analytics maturity needs to increase before healthcare organizations can adopt AI on a broader scale. We estimate AI is still two to five years away from increased usage within the market. It is likely that analytics will make significant adoption and maturity gains during the time AI is being developed.
Greater Role of Analytics
It is clear that the second phase of health IT adoption has begun and analytics will play a greater role. As analytics become more sophisticated, we will see a better understanding around data governance. This will in turn lead to increased analytics adoption and maturity.
Download the Snapshot Report of the 2017 Essentials Brief: Clinical & Business Intelligence to learn more on this topic.