Data analytics tools: The struggle is real, study finds

Data-driven decision-making for cost containment and quality improvement initiatives has increasingly proven its worth with insights empowering hospitals to make changes for the better. But progress has been stalled by gaps in interoperability and siloed data, with executives stymied and unable to use analytics to their full potential.

According to a new survey by HIMSS Analytics, only one out of four healthcare organizations are leveraging their data at an executive level on an everyday basis, and while 67.9 percent have an executive dashboard to support strategic decision-making, just 35.1 percent of those organizations are using it daily. Authors of the study talked to 110 senior healthcare leaders.

In addition, 92.7 percent of organizations have an analytics strategy but only 31.8 percent have been executing on that strategy for some time. More than half, or 58.6 percent, use the analytics provided through their executive dashboard to facilitate decisions at only a departmental or single-hospital level. Just 25.3 percent of healthcare organizations are able to leverage analytics throughout their entire multi-hospital system.

“While many healthcare organizations have the best of intentions when it comes to analytics, they struggle with how to facilitate data-driven decision-making system-wide and on a regular basis,” says Fred Powers, president and CEO of Dimensional Insight, co-sponsor of the study. “The sheer number of analytics tools in use means that different departments within an organization will often have different numbers or measures, and it’s hard to reconcile them, leading to a more siloed look at data.”

This survey underscores the need for interoperability, as well as sophisticated analysis tools that enable close collaboration between clinical and IT staff. To see how Bryan Health in Lincoln, Nebraska , is using a LUMEDX cardiovascular information system (CVIS) and analytics to support continuous quality improvement, download this case study.

Posted by Jana Ballinger 07/18/2019 Categories: Analytics CVIS Interoperability