- Epic has the deepest adoption of business intelligence capabilities among its customers, with clients leveraging the company’s predictive algorithms to improve decision support and patient outcomes.
However, organizations are also increasingly turning their attention to smaller, emerging business intelligence (BI) vendors for their cutting-edge risk stratification abilities, according to a recent KLAS report.
Through a series of interviews, KLAS found that BI tools are supporting a variety of initiatives across the enterprise.
Some organizations are utilizing business intelligence vendors to boost patient safety and decision-making, while others are leveraging advanced solutions to store and analyze more sources of data. Although respondents said that Epic’s business analytics technologies are still developing, system integration is improving, said the Verona, Wisconsin company’s clients.
“Epic clients are consistently leveraging the vendor’s predictive algorithms for best-practice alerts, readmissions, and decision support,” KLAS said.
Customers also reported using the system’s advanced analytics and artificial intelligence features to improve medication adherence, reduce appointment no-shows, and refine risk scores.
Organizations have also used Epic functionality to incorporate claims information into their big data analytics projects, allowing provider groups to generate enhanced insights into financial and clinical trends.
Overall, Epic’s business intelligence capabilities received a score of 85.6 out of 100. The company received lower-than-market-average scores for ease of use and the implementation process, but exceeded other vendors in terms of customer support and helping organizations meet tangible goals.
Across the field, HBI Solutions was ranked highest at 91.3 overall points. KLAS found that many organizations are turning to smaller, focused vendors like HBI Solutions for patient risk stratification.
“Clients using HBI Solutions' risk-stratification methodology report being able to replace otherwise complex and expensive analytics environments for use cases such as prevention of readmissions and ER visits and risk tracking for sepsis, opioid abuse, and other chronic diseases,” the researchers said.
Jvion also received high marks for helping organizations refine risk scores to predict and prevent patient readmissions. Clinicians can identify at-risk patients and the factors that contribute to their risk, which allows providers to design personalized interventions.
Most emerging business intelligence vendors have focused on developing one or two niche capabilities, suggesting that more organizations are primarily concerned with utilizing analytics solutions to improve specific elements of care delivery.
Other top-ranked business intelligence vendors included Health Catalyst, which received a score of 89.5, and Dimensional Insight, which received a score of 89.2. Both solutions were ranked highly in client satisfaction and in their ability to drive significant outcomes.
Health Catalyst has helped organizations reduce readmissions, length of hospital stays, and sepsis mortality, resulting in improved cost saving.
Organizations partnering with Dimensional Insight have used the company’s solutions to successfully improve clinical decision support and pharmacy utilization.
KLAS also found that many organizations are increasingly replacing poorly performing, high-cost systems from traditional business intelligence vendors with open-source technology or other solutions.
“Organizations are beginning to consider open-source options like Hadoop, Python, or R, or cheaper alternatives from Microsoft,” researchers said.
Microsoft clients reported high satisfaction with its business intelligence solutions, even though the company has not historically focused on healthcare.
While Microsoft’s healthcare-specific functionality is not currently as strong as other vendors, KLAS reported that Microsoft clients are experiencing improved outcomes, functionality, and proactivity, and that the software tools are cost-effective and easy to use.
As more healthcare organizations look to vendor solutions to leverage their big data and improve care delivery, entities may increasingly turn to smaller, emerging vendors to help them prevent adverse health events and refine their patient risk score capabilities.