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Some providers more 'mature' than others

HIMSS Analytics releases results of its DELTA Powered Analytics Assessment
By Mike Miliard , Executive Editor
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
Cleveland Clinic
Dartmouth-Hitchcock
Duke University Health System
Intermountain Healthcare
KishHealth System
Lakeland Regional Health System
Marshfield Clinic
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. 

The findings of the survey bear this out:

  • Most providers say analytics as important but have only reached moderate levels of maturity.
  • Leadership is key: organizations with chief analytics officers on the executive team are more advanced than those that don't.
  • Big data is viewed as one of the least important competencies by hospitals -- a big contrast to other industries.
  • Executives are much more critical of their analytics performance others in their organization.
  • Providers with the highest analytics maturity place high importance on the use of data throughout the organization.
That last one is key, said Gaston: "We expect it to apply across the entire organization -- not just to the clinical side, and not just to the business side."
 
From the C-suite to clinicians to administrative staff, "everybody needs to embrace analytics for it to be part of the culture and mature," he said.
 
The DELTA assessment is meant as a new tool for organizations to be able to benchmark their analytics readiness and point the way toward strategies to improve.
 
"How do you know if your organization is good at analytics? For a lot of us, who aren't Geisinger, we have to figure out," said Gaston.
 
And that's not easy. Gaston remembered back to his time working at a provider, where business intelligence amounted to an "analyst with messy data, working on a PC In a back room, whacking at it, trying to make sense of it. And coming to a conclusion about what should be done, or what happened, after the fact. Not necessarily in real-time."
 
Even that arduous process is valuable, however: "What that does is it allows you to understand what your data is saying, what your data quality problems are -- and begin to streamline and understand that model that you create around that particular decision point," said Gaston.
 
"It's a struggle," he admitted. "You've got lots of data and you're trying to enable people to make decisions. How does that actually happen? There's no turn-key solution. There's no pixie dust."

Download a copy of the DELTA Powered Analytics Assessment Benchmark Report here.