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Healthcare Analytics Technology Is Useless If It Stops After Identification

Posted by Danielle on August 25, 2015

All analytics technologies are not created equally.

Analytics technology must move past identification to be valuable. It must facilitate action so your organization can see improvement.

We learned this first hand. 

identify_act_improve_cover_photoThe first edition of our home health predictive modeling technology analyzed a home health agency’s patient data and identified those patients most at risk of readmission. With hospital readmissions a big focus in pay-for-performance healthcare, and the fact that a Vanderbilt data scientist proved our model robust and substantial, we thought that would be enough.

It wasn’t.

We presented the solution to our beta partner and they said, “This is informative, but what do you want me to do with it?” 

We thought they’d know.

It was then we got it: Even if you have the most predictive technology in the universe, it’s meaningless if the insight isn’t acted upon.

We added workflow components to our analytics solutions that would help users apply our analytics to their day-to-day processes.

We didn’t stop there. We also realized that you can only manage what you can measure. Meaning, unless our end users could clearly see how our technology was helping their organization, and identify areas where they could further improve, they wouldn’t realize the full potential of predictive analytics.

We incorporated a business intelligence tool to our analytics solutions that would help organizations report and improve.

identify.act.improve_on_siteIt’s this “Identify. Act. Improve” trifecta that drives the development of our current home health analytics solutions.

When we describe our technology solutions, we often present them as they align with our “Identify.Act.Improve” methodology.

Take our brochure description of Medalogix Bridge, our end-of-life analytics technology:

Identify. Medalogix Bridge leverages a customized predictive model to generate a patient risk ranking. With this analytics-based list, clinicians can easily view which patients would benefit from hospice care.

Clinical teams leveraging Medalogix Bridge will typically gather in case conference to view and discuss Medalogix Bridge’s predictive ranking. While in the Medalogix system, clinicians can delve deeper into each identified patient’s health record information. Having the risk rank and patient diagnosis information in one easy-to-access location expedites and streamlines hospice care discussion and decisions.

Act. Medalogix Bridge doesn’t stop after delivering insights. The technology facilitates action upon those insights with its built-in clinical workflow component. Once a patient’s clinical evidence is reviewed, clinicians can move each patient through a customizable workflow. Organization-chosen steps, such as, ‘Complete Clinical Evidence’ and ‘Obtain Physician Order’ are incorporated with timed alerts to better manage and coordinate care. The timed alerts also help pinpoint operational lag.

Improve. You can only manage what you can measure. With that in mind, Medalogix Bridge delivers dashboards that enable clinical managers as well as senior executives to view key utilization, performance, and outcome measurements. With these visual progress metrics, providers can pinpoint operational improvement opportunities and subsequently, further improve care.

So now when you see these banners at our tradeshow booths, you’ll know where we’re coming from.


Topics: Data and Analytics Review


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