Hospitals and healthcare organizations are drawn to analytic applications that can help them do population health management, a new survey of CIOs and other C-level healthcare executives shows. But the poll also revealed it's early in this game and that the majority of healthcare systems are just starting to figure out what kinds of tools they're going to need to navigate the new terrain.
Eighty-two percent of the respondents identified population health management (PHM) as a key focus of analytics in coming years. And nearly 80% felt that leveraging big data and predictive analytics -- two approaches often used in PHM -- was important to their organization's goals.
On the other hand, 84% of the healthcare leaders said implementing big data and predictive tools was a significant challenge to their organization. Only 45% of respondents said their organizations had implemented a flexible and scalable plan to adapt to the growing volume of electronic data available to them.
A few other key findings:
-- A large majority of respondents (82%) said health information exchange was important to them.
-- Nearly 90% used analytics for revenue cycle management.
-- Two-thirds used analytics to prevent fraud and abuse.
-- Quality improvement was the most popular use for analytics, reported by 90% of respondents.
-- The most common data sources were administrative data (77%) and claims-based data (75%).
-- Only 18% of respondents have staff sufficiently trained to collect, process and analyze data. Sixteen percent said they overcome staff shortages by employing third-party organizations such as consultants.
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