Effective use of analytics
is "not something you can buy from a vendor; it's an organizational and cultural value that has to grow and mature."
So said James E. Gaston, speaking Thursday at the Healthcare IT News
/HIMSS Media the Healthcare Business Intelligence
Forum in Washington.
At the forum, Gaston, senior director for clinical and business intelligence at HIMSS
Analytics, released the results of what's billed as the first industry-wide gauge of maturity in analytics, unveiling the findings of the first 22 hospitals to take HIMSS Analytics' DELTA Powered Analytics Assessment.
Created by HIMSS Analytics
in collaboration with International Institute for Analytics, the model helps providers "understand, compare and change" their approaches to clinical and business intelligence, using a five-part framework: data, enterprise approach, leadership, strategic targets and analytical capabilities.
More than 1,800 individuals at 22 hospitals completed the inaugural survey.
Participating organizations ran the gamut from ambulatory centers to large integrated delivery network; there was even an international hospital. The organizations were:
Akron Childrens Hospital
Blackstone Valley Community Health Care
Butler Health System, Inc.
Carolinas HealthCare System
Centura Health Corporation
Duke University Health System
Lakeland Regional Health System
Northeast Georgia Health System
Northshore University HealthSystem
Orlando Health, Inc.
Seoul National University Bundang Hospital
Southwest Kidney Institute, PLC
The Stamford Hospital
UAB Health System
UC Davis Health System
University of Missouri System
University of Virginia Medical Center
"The percent of hospitals with clinical data warehouse and data mining has grown considerably in the past year," said Gaston. "Hospitals are collecting more data -- what they are doing with that data is another thing."
[See also: Geisinger shows how data drives change.]
As providers strive to implement and then effectively use business intelligence tools -- moving from descriptive analytics to prescriptive analytics, to, ultimately, predictive analytics -- many of them are still trying to figure out the best way to go about it.