>> So to get us started,
Humana is a health and well-being organization who are committed
to driving best health outcomes for
millions of medical and specialty members,
and we do that with three principles in mind.
Number 1, we want to deliver
an easy and seamless customer experience.
Number 2, we went to help members achieve their best health,
and we do that through five points of influence,
primary care, social determinants of health,
pharmacy, home, and behavioral health.
We power those two things with
our third principle and then to power with integrated technology.
We have a digital health and analytics team,
we have an enterprise clinical operating model,
and of course, we have a strong partnership with Microsoft.
So let me tell you a little bit about my role,
I'm the Associate Vice President of population health.
>> Hi everyone. My name is Sean Chandler,
I'm a Senior Business Intelligence engineer
working in the enterprise analytics space,
and specifically I build
Power BI tools for teams just like Dr. Renda's,
and I consult on a variety of Power BI applications throughout
Humana as part of
the analytics platform as a service team. Melissa?
>> Yes. Thanks Sean. So I'm Melissa Hooper,
I'm a Product Implementation Lead,
and my role in enterprise analytics and analytics platform as
a service is to bring together business teams like Dr. Renda's,
and our BI engineers like Sean to create
wonderful user-centric designed BI report.
So in 2018, Humana undertook our,
beginning of our digital journey,
we really formalized it by creating the vertical
that Sean and I sit in called it digital health and analytics.
As part of the business case for digital health and analytics,
we did a survey with an outside consulting firm.
What we found is that our analytics professionals were using
47 disparate data sources and BI tools.
Just to let that sink in for a moment,
you can imagine that,
it's very difficult to become a master of anything if you
have 47 different tools
that you should be a little bit familiar with.
So since 2018, our team along with the rest of
digital health and analytics has been working
to standardize our data sets,
standardize our reporting tools,
and we're really doing that moving toward this idea of the data
in our Gen2 data like in Azure and using Power BI specifically,
but also other elements of the Power Platform,
so that our analytics professionals can really become
experts in the Power Platform,
and not have to spread
their learning journey across multiple sources.
What we're really working forward is this data-driven culture,
and that's where our team analytics platform
as a service comes in.
So what we're working on right now is
migrating our data assets into our Gen2,
Microsoft Azure data like creating common datasets,
getting access through Azure Active Directory groups,
and really using the power of
the Power Platform and Azure to create these citizen analysts,
where we're delivering the right information at the right time to
the right Humana associates to really help
our members achieve their best health.
>> Social determinants of health are
the conditions in the environment in which people live,
learn, work, play, worship, and age.
Essentially, they are the upstream influences of poor health.
We measure the impact of social needs or
social determinants on health related quality of life.
>> From a design perspective for this Power BI report,
the real big challenge in front of us, of course,
was taking survey data related to
social determinants of health from multiple vendors,
and tying it all together so that in Power BI we could tell
a cohesive story about
these different domains and about
the screenings related to them as a whole,
rather than in these data silos.
From a visual standpoint,
I also wanted to highlight just some of the
built-in Power BI features,
and these icons were selected.
By using them in the Chiclet Slicer,
users have a very intuitive way to
immediately just filter to the food insecurity screenings,
or if they're interested in social support,
they can do this on the fly,
and the tool updates and then you get
the information that they've come for.
This is something that in past tools
was just not as easy to do as Power BI has made it for us.
So another Power BI feature that I was eager to
implement here is the integration of Power BI's bookmark features.
So up here, we give the user the ability to just
toggle quickly between
some different commonly requested views on screenings.
Obviously, it starts with just screenings
being a KPI that we wanted to look at month to month.
But if somebody came to this and they specifically wanted to know
how many screenings we were getting
from each of the different source or different vendors,
they can just toggle this bookmark to that view instead.
Or if they want to see the screenings
broken down by the different domains,
that's also easily done.
I'll unselect food insecurity,
then they'll be able to actually see
the different screenings broken down by the domains,
and what percentage of those screenings
were positive versus negative.
>> In the current times, catalyzing events really gave Humana
an opportunity to rethink how we were using our tools,
and that's where we get into some of
the digital transformation that we
actually saw as a result of COVID-19,
our monthly active users since the crisis really picked up,
has increased by 97 percent.
It's interesting because of that 97 percent,
only about 55 percent is
directly attributable to the COVID dashboard.
So what people are seeing is how
quickly Humana stood up in a crisis.
All of this various reporting data,
they're seeing that, and they're thinking,
"Okay, if we could do that in a time of crisis,
how can I move past the crisis mode and think about how I can use
Power BI and the Power Platform in my daily operations?
>> None of us expected
the COVID pandemic to occur, and when it did,
very quickly, we had a lot of different things we needed to
understand and make some key decisions about how to respond.
So having access to Power BI tools very quickly build
dashboards to visualize all of
that information and update it in real time,
with absolutely critical to
both forming our strategy and then executing on it.
Now I'll add two points to summarize what our work is around this.
Number 1, our goal is to create citizen data scientists to use
these tool to derive
actionable insight and then to make key business decisions,
and that's really what the suite of
Power BI tools allows us to do.
The second point is, well,
we never expected COVID to happen, when it did,
having access to tools like Power BI really allowed
us to quickly build the dashboards that we need,
derive the insight that we had,
form our strategy and our response to the situation.
Just got ability to quickly adapt on the fly,
create things, get insights,
and then take action has been
really important to our response efforts.
>> Thank you.
>> Thank you very much.