In total, 102 organizations responded to the survey, which was fielded in May and June by the eHealth Initiative (eHI) and the College of Health Information Management Executives (CHIME).
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.
[ Is implementing analytics worth the investment? Read Big Data Analytics: Where's The ROI? ]
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.