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Two Minutes on Population Health Analytics
So when I think about a simple definition of population health analytics
my best definition of that would be assembling all the information you can
to get a comprehensive picture of a person and an understanding who they are
and then trying to do interesting things with it namely how
do you encourage that person how do you provide wellness for them how do you know when to intervene
and how do you know how to do those things before it's too late?
The essence of it is being predictive and trying to figure out a way to
find something and
do something about someone
in your population before it becomes a bad outcome.
The things that are different about population health analytics from the way
we traditionally think about healthcare analytics
is the fact that we are no longer dealing with episodes of care
and traditionally we've looked at things in terms of an isolated
episode or event of care that happens maybe in an inpatient setting.
The difference here is we're trying to take a look at a patient across different
venues of care.
The jargon for it across the continuum of care but what that really means
is understanding that you have the same person who you see as an inpatient stay
and in another inpatient stay
at another hospital or you see over at a physician
practice or you get a health risk assessment on all those are
isolated pieces of information
that pertain to the same person so our analytics can predict what's happening
about a person as opposed to what's happening about an episode of care.
That's the difference between population health analytics and traditional point-based analytics.
For more information, contact truvenhealth.com