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This is Gracelyn Keller with the Becker's Healthcare
Podcast, and we are live at the 9th
annual health IT digital health and RCM conference.
I'm thrilled this morning to be joined by
Krystal Breuwie who is the chief digital transformation
officer at musc.
So, Krystal, thanks so much for joining me
this morning. Would love to get us started
by having you share a little bit about
yourself and your background and your role at
your organization. Sure, Grace. Thanks for having me.
I'm excited to be here at this great
conference.
I am the chief digital transformation officer,
in Charleston,
for our statewide health system.
We,
started that role about 2 years ago.
Started with a department of 1 and now
expanded to department of 8. My background is
in IT programming and then moving up through
the ranks to do business analysis and then
eventually managerial type things.
Wonderful. Well, thanks for taking the time to
be here. I'd love to start our conversation
today with AI. So adoption of AI is
exploding in health care. And in your view,
what is the most significant or promising application
of this technology right now, and how is
that informing your organization's innovation strategy?
I think there's a bunch of places where
AI plays everywhere from robotic process automation to
some of the new natural language processing,
that's getting better and better all the time.
But I think helping us with clinical documentation
is probably my favorite,
use case that we've had. We deployed ambient
listening for our docs. We started with a
pilot of about a 125, and we'll roll
it across the entire organization in the next
year.
But I think that's really great because it
just takes so much time away from our
doctors that they don't have to spend in
what we call pajama time after hours writing
notes and enclosing charts and things like that.
So,
anything we can do to take work out
of the system is a good place for
us to look at AI and see what
we can do.
Absolutely. And transitioning
to data,
on a daily basis, health care leaders are
managing greater volumes of data and more devices
across a growing number of care settings.
And this is a complex environment. So what
clinical data integration tools or practices are you
seeing drive improvements in patient outcomes and operations?
And can you share an example of that?
I think that, you know, we get inundated
with data. You're wearing a smartwatch. I'm wearing
a smartwatch, and we all wanna share that
data with our doctors. The problem is is
that if you send them 365
points of data when you come in for
your annual, it's very, very hard for them
to have the time or the energy to
look at it. So I think we're gonna
continue to see these manufacturers
create summaries of it that can quickly be
reviewed by your doctor and give trends and
things that they should be paying attention to.
And so I'm looking forward to more integrations
in those types of models,
but also being able to
use AI to scrape charts and then present
a very small,
next best three steps for Crystal when I
show up, so that they don't have to
read all the data that's in the chart.
They'll just take and it'll bubble up for
the doctors, I think, is also very promising
in handling data.
Absolutely.
And with AI and data, now our IT
has become extremely important. So how can health
care organizations
better support IT and clinical teams as they
carry out innovation efforts? And what are the
common pitfalls that we see here? I think
the common pitfall is to put a technology
and not follow-up.
If you aren't making sure that people are
comfortable with the technology,
that they understand the latest features, they know
if something went wrong that has been fixed
and it's changed,
they lose faith in the software, and they
don't use it as well. I think the
biggest thing we can do is buy software
and then let it just sit and not
be used for the what it was intended
to. And so there's there's a lot of
between education and change management,
and then consistently following up is is a
really good way to keep those clinicians
in the loop. And,
from the beginning, when you start a project
all the way through to after you've implemented,
following up back again.
And as we wrap our conversation up here,
I would love to know your top piece
of advice for health care leaders as they
prepare for further advancements in technology and greater
demands for care.
I say that,
it starts by include getting a
a group of people together,
cross functionally
to support your efforts, making sure that you
have the right people on the,
project team, whatever that is, including clinicians.
Don't add more work and more burden to
clinicians
without taking something away.
If you're getting rid of the stupid stuff,
that's gonna make them more effective and practice
at the top of their license. So I
think that's a big part of it.
Wonderful. Well, Crystal, thanks so much for taking
the time to join me today on the
Becker's health Care podcast. Again, we are live
at the 9th annual health IT, digital health,
and RCM conference. Thank you. Thanks.