The healthcare industry has been undergoing significant changes for decades. A combination of factors have, however, accelerated the pace of change. With change has come a flood of data and increasing expectations from decision makers. Alteryx helps healthcare companies improve their speed of decision making by providing data analysts and line-of-business users the ability to prepare, blend, and analyze data themselves, without writing any code and without any IT dependence or delay.
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I came across this article recently regarding high value use cases for predictive analytics and was please to see that we are starting to touch on many of those at BCBSNC. One space that we are really focusing on are how social determinants of health are impacting our state, which has one of the highest populations of chronic diseased patients in the nation.
Are any of you using predictive analytics? If so do your use cases align with this list?
We have a machine learning solution that is in the space of Patient Use Patterns. It analyzes which use patterns are typical for a specific type of injury, and notes the medical claims that are not part of one cycle of care, but instead are part of a different cycle of care.
There are SO MANY ways to use predictive analytics in this space.
Thanks for starting this topic.
At my organization we are developing Epic's built in Predictive Analytics, and we are starting predictive efforts around or Supply Chain and other operations areas.
I hope to use Alteryx for this, but will also be using Python directly.
The great thing is that Alteryx is really maturing on the use of python with designer. I have done a few automatons recently where I have taken python developed by our data scientists and worked it into scheduled workflows to feed tableau dashboards.
Predictive analytics best usecases I suppose are for tackling preventive healthcare actions;