Whatever kind of solutions hospitals are using, one reason that many are not taking full advantage of them is that they don't have enterprise data warehouses, which are needed to aggregate and normalize data so that it can be analyzed. Just under half of the C&BI users had data warehouses, while nearly 30% used operational data stores -- a database used to integrate data from multiple sources -- and under 20% used their transactional systems to collect data.
According to HIMSS Analytics, in 2011 only 30% of U.S. hospitals used a clinical data warehouse/mining solution. Nearly half of institutions with more than 500 beds did, but only 20% of hospitals with 200 or fewer beds had a data warehouse. Although the new report doesn't directly show how many respondents have data warehouses, it suggests that only a quarter do. Moreover, HIMSS Analytics considers the study sample reflective of the national distribution of hospitals, with 63% under 200 beds.
Fitzgerald agrees that growth in the use of data warehouses has "plateaued" since 2011. One reason, he said, is the use of other, partial solutions such as operational data stores and transaction systems, he said. Also, he observed, "They are utilizing their EHR systems on so many levels that the need for them to have that enterprise data warehouse capability hasn't really come through yet."
Thirty-five percent of the C&BI users said they were using their analytic tools for predictive modeling and optimization, as well as retrospective analysis and reporting. Predictive modeling is a relatively sophisticated use for analytics that is often associated with population health management. Yet Fitzgerald was not surprised that so many organizations were doing this.
"Some of that is around accountable care, but even internally, there are things that hospitals and organizations can do from a C&BI perspective," he said. "One of those is readmission rate reduction; another is optimization of patient engagement and patient care."
To support this hypothesis, he cited some the top drivers of C&BI purchases. According to the report, they were:
-- Improve efficiencies around patient care.
-- Use better analytical tools for business and healthcare decisions.
-- Link clinical and financial information to the cost of care.
-- Requirements around government quality reporting for Meaningful Use.
-- Improve clinical outcomes.
Although accountable care wasn't near the top of this list, it was the long-term objective most often cited for buying a C&BI solution.