8ab0ed5c-40ea-44a5-b89d-1915350d1f43/51-0
00:00:03.308 --> 00:00:05.959
Resto,
the chief physician executive for the

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/51-1
00:00:05.959 --> 00:00:10.142
faculty group practice at UTMB,
the University of Texas Medical Branch

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/51-2
00:00:10.142 --> 00:00:15.032
and the Senior vice President for Health
System ambulatory operations and surgical

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/51-3
00:00:15.032 --> 00:00:18.508
services. Vicente,
thank you so much for joining us today.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/55-0
00:00:19.388 --> 00:00:20.708
Thank you for having me, Jordan.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/81-0
00:00:21.498 --> 00:00:26.657
So for those who don't know,
UTMB health is headquartered in Galveston,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/81-1
00:00:26.657 --> 00:00:29.595
TX,
and has six hospitals with 1600 beds

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/81-2
00:00:29.595 --> 00:00:31.458
staffed by 1000 providers.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/102-0
00:00:32.448 --> 00:00:35.051
Today,
we're going to be discussing a whole data

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/102-1
00:00:35.051 --> 00:00:38.769
approach of proactive care,
a homegrown model and interoperability at

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/102-2
00:00:38.769 --> 00:00:39.088
scale.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/125-0
00:00:39.088 --> 00:00:43.585
So I'd like to kick it off Vicente,
by asking you to describe your whole data

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/125-1
00:00:43.585 --> 00:00:47.448
approach to proactive patient care
management and preventive care.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/132-0
00:00:49.318 --> 00:00:50.478
Well, thanks again, Jordan.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/141-0
00:00:50.478 --> 00:00:53.918
Happy to share some of our thoughts here.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/182-0
00:00:54.158 --> 00:00:58.628
Clearly, data is rapidly becoming,
you know, a fundamental piece.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/182-1
00:00:58.628 --> 00:01:01.946
You know of most, you know,
economic activities,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/182-2
00:01:01.946 --> 00:01:04.993
but also clinical care activities,
you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/182-3
00:01:04.993 --> 00:01:10.276
in academic medical centers like ours
where we have tapped into data has been

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/182-4
00:01:10.276 --> 00:01:14.948
starting out with really epic
implementation and all the layers and.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/184-0
00:01:14.948 --> 00:01:15.518
They continue to develop.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/194-0
00:01:16.268 --> 00:01:19.068
But alongside that,
UTMB has been very involved.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/204-0
00:01:19.498 --> 00:01:25.098
Than de Novo development of uh data
management. Uh tools.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/233-0
00:01:25.858 --> 00:01:29.171
Uh, that help you know,
interface with epic and extract

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/233-1
00:01:29.171 --> 00:01:32.425
information from it,
as well as other sources such as,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/233-2
00:01:32.425 --> 00:01:35.442
you know,
some of our revenue cycle related claims

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/233-3
00:01:35.442 --> 00:01:35.738
data.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/272-0
00:01:37.228 --> 00:01:41.245
Sources and the like to bring in together
and try to develop, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/272-1
00:01:41.245 --> 00:01:45.318
models not only to understand where
patients are and what they have been

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/272-2
00:01:45.318 --> 00:01:47.884
doing,
but we're done some work internally to

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/272-3
00:01:47.884 --> 00:01:49.948
develop, you know, predictive models.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/280-0
00:01:50.378 --> 00:01:53.338
To help us understand what they will be
doing.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/306-0
00:01:54.828 --> 00:01:58.785
Now that's come to the forefront,
perhaps more globally,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/306-1
00:01:58.785 --> 00:02:03.852
as AI has come up to the forefront,
because that's the fundamental piece

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/306-2
00:02:03.852 --> 00:02:04.268
there.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/308-0
00:02:04.388 --> 00:02:05.948
But we've been doing it for some time.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/311-0
00:02:07.338 --> 00:02:07.698
I see.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/327-0
00:02:07.698 --> 00:02:12.650
And so you've been developing predictive
models to determine what patients are

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/327-1
00:02:12.650 --> 00:02:13.778
going to be doing.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/339-0
00:02:13.818 --> 00:02:18.458
Can you speak to how you're able to
develop these models?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/345-0
00:02:18.458 --> 00:02:20.418
You said that there are different data
sources.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/350-0
00:02:20.418 --> 00:02:21.818
Some are homegrown.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/356-0
00:02:21.898 --> 00:02:24.498
Some are claims data,
some is revenue cycle.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/363-0
00:02:24.578 --> 00:02:28.218
Are you building on top of an open source
platform?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/372-0
00:02:28.218 --> 00:02:29.698
Do you have a proprietary LLM?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/384-0
00:02:30.698 --> 00:02:34.778
What are you doing right now to develop
your predictive models to?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/389-0
00:02:35.538 --> 00:02:37.338
Better manage those at risk.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/393-0
00:02:37.768 --> 00:02:38.528
Patients.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/435-0
00:02:39.718 --> 00:02:45.703
So UTMB has been a strong collaborator
with large entities like Microsoft for a

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/435-1
00:02:45.703 --> 00:02:50.640
number of years as well as others such as
EPIC. And through that,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/435-2
00:02:50.640 --> 00:02:55.502
you know set of interfaces.
We have developed small and yet ever

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/435-3
00:02:55.502 --> 00:02:56.998
increasing projects.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/455-0
00:02:56.998 --> 00:03:01.301
The most recent of which was a
formalization of a relationship with

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/455-1
00:03:01.301 --> 00:03:04.718
Microsoft,
where we are wholeheartedly transitioning.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/461-0
00:03:05.468 --> 00:03:07.948
The majority of our data up to the cloud.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/493-0
00:03:08.498 --> 00:03:13.013
As a way to do several things for us,
it's now a place where it's a

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/493-1
00:03:13.013 --> 00:03:17.927
multifaceted and how people can interface
with it. But just as important,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/493-2
00:03:17.927 --> 00:03:21.778
you know when you live in a Barry Island
off the Gulf of.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/499-0
00:03:23.708 --> 00:03:25.308
Mexico, America, you know,
we're kind of working on that.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/523-0
00:03:27.908 --> 00:03:32.218
The you know risk the risk of damage.
You know it's real and we have been for

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/523-1
00:03:32.218 --> 00:03:36.085
many years managing ourselves, you know,
through backup data centers.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/523-2
00:03:36.085 --> 00:03:37.908
But you know moving to the cloud.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/539-0
00:03:38.138 --> 00:03:42.878
Cloud is just really the ultimate
security from that physical brick and

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/539-1
00:03:42.878 --> 00:03:44.458
mortar damage potential.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/545-0
00:03:46.068 --> 00:03:48.268
You know, having it there.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/585-0
00:03:48.588 --> 00:03:52.523
And really managing it through, you know,
a data lake, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/585-1
00:03:52.523 --> 00:03:57.546
kind of functionality we're really trying
to, you know, sort of clean up the data,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/585-2
00:03:57.546 --> 00:04:00.452
you know,
to the degree that all of our mission

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/585-3
00:04:00.452 --> 00:04:04.628
areas can tap into it. Research, you know,
education. But I go back.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/580-0
00:04:02.528 --> 00:04:02.728
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/593-0
00:04:04.628 --> 00:04:06.948
To the premise of our discussion.
Clinical care.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/639-0
00:04:08.058 --> 00:04:12.771
So we use that information you know,
with regression analysis,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/639-1
00:04:12.771 --> 00:04:18.681
you know type technology to help us with
some predictive models more recently.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/639-2
00:04:18.681 --> 00:04:23.768
You know, as I touched on,
we have had a significant investments in

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/639-3
00:04:23.768 --> 00:04:28.407
the organization in de Novo large
language model development,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/639-4
00:04:28.407 --> 00:04:29.828
you know and so on.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/647-0
00:04:29.828 --> 00:04:32.498
And so forth to help us, you know,
dive into.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/657-0
00:04:33.228 --> 00:04:36.348
Clinical work as much as you know,
more research related work.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/670-0
00:04:37.528 --> 00:04:42.968
You've mentioned your work on de Novo
applications a few times.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/677-0
00:04:43.008 --> 00:04:46.488
I believe one of them is referred to as
power.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/700-0
00:04:46.488 --> 00:04:51.358
It's a home grown provider management
functionality used to manage contracts

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/700-1
00:04:51.358 --> 00:04:55.786
where providers can model their own
activities and see how it impacts

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/700-2
00:04:55.786 --> 00:04:56.608
compensation.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/708-0
00:04:56.608 --> 00:04:59.648
You mentioned you've been working on Rev
cycle management as well.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/717-0
00:04:59.848 --> 00:05:03.448
Would you tell us about what's going on
with power?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/721-0
00:05:03.448 --> 00:05:04.968
Its genesis and its impact.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/764-0
00:05:06.028 --> 00:05:08.950
Yes,
power is very much an example of a

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/764-1
00:05:08.950 --> 00:05:15.013
homegrown functionality that we've worked
now for really about 10 years. You know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/764-2
00:05:15.013 --> 00:05:18.665
with ever increasing iterations and
improvements,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/764-3
00:05:18.665 --> 00:05:22.828
the most recent of which is really AI
powered, my power.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/781-0
00:05:22.828 --> 00:05:27.038
It's an iteration,
but that's a system that we use for

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/781-1
00:05:27.038 --> 00:05:31.859
mostly faculty management.
And when I mean faculty management,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/781-2
00:05:31.859 --> 00:05:32.548
we track.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/785-0
00:05:33.228 --> 00:05:35.068
Contracts, yearly contracts.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/794-0
00:05:35.218 --> 00:05:36.578
Memorandum of appointments.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/795-0
00:05:36.578 --> 00:05:37.378
We call them.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/810-0
00:05:37.938 --> 00:05:43.858
We track, you know, the faculty effort,
you know, assignment that we give.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/829-0
00:05:43.858 --> 00:05:46.514
Remember,
we're an academic organization with multi

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/829-1
00:05:46.514 --> 00:05:49.120
mission,
so any one person can have a multitude of

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/829-2
00:05:49.120 --> 00:05:51.418
different activities and different
missions.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/851-0
00:05:51.498 --> 00:05:55.882
So we track, you know,
the time allocation and effort allocation

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/851-1
00:05:55.882 --> 00:06:00.738
each that translates further into
salaries. We tend to compensate with.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/859-0
00:06:01.508 --> 00:06:04.308
Variable at risk arms to help you know.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/881-0
00:06:04.698 --> 00:06:09.372
Align activities you know with the
organization S needs and all of these.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/881-1
00:06:09.372 --> 00:06:13.098
As you may imagine,
you know they're very fluid, you know.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/882-0
00:06:13.098 --> 00:06:14.338
So not only does.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/916-0
00:06:16.188 --> 00:06:19.722
Power system help us track,
you know the logistics,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/916-1
00:06:19.722 --> 00:06:25.091
but it helps us also understand what past
performance is and help each faculty

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/916-2
00:06:25.091 --> 00:06:28.828
member tap into their own formula and
help themselves.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/926-0
00:06:28.828 --> 00:06:33.388
You know, with understanding, OK,
if I vary my activity in this way.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/940-0
00:06:33.698 --> 00:06:35.788
You know,
how would it affect my predicted

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/940-1
00:06:35.788 --> 00:06:37.538
compensation and so on and so forth?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/983-0
00:06:37.658 --> 00:06:41.692
So it's been well received,
certainly by the administrative side

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/983-1
00:06:41.692 --> 00:06:46.099
because it helps us organize ourselves
and helps us predict, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/983-2
00:06:46.099 --> 00:06:50.692
in ways that you know really are
fundamental for budgeting and predicting

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/983-3
00:06:50.692 --> 00:06:53.671
performance. But each faculty member,
you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/983-4
00:06:53.671 --> 00:06:56.588
many of them has also have also enjoyed
their.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/988-0
00:06:56.588 --> 00:06:58.378
Ability to personally.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/995-0
00:06:59.108 --> 00:07:00.708
Predict and understand.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/999-0
00:07:00.708 --> 00:07:02.868
You know what their performance will
translate to.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1002-0
00:07:03.298 --> 00:07:04.418
Forms of compensation.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1009-0
00:07:05.058 --> 00:07:07.298
So I see that you're working.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1058-0
00:07:07.298 --> 00:07:11.884
You're leveraging power to affect
provider behavior in order to maximize

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1058-1
00:07:11.884 --> 00:07:16.533
their compensation plan from their
perspective and from your perspective,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1058-2
00:07:16.533 --> 00:07:19.674
to align their efforts with
organizational goals,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1058-3
00:07:19.674 --> 00:07:24.323
I'd like to ask if you use power or any
other tools to influence provider

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1058-4
00:07:24.323 --> 00:07:26.898
behavior to manage value based care espe.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1064-0
00:07:26.898 --> 00:07:29.018
With chronic disease management in order.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1073-0
00:07:29.818 --> 00:07:31.978
To better handle population health at
UTMB.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1081-0
00:07:33.508 --> 00:07:35.268
Absolutely. Yes, we do.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1106-0
00:07:35.308 --> 00:07:41.021
And generally speaking for that,
you know we have analytics groups within

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1106-1
00:07:41.021 --> 00:07:46.348
our population health areas that build de
Novo apps within Power BI.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1131-0
00:07:46.708 --> 00:07:51.065
Power Bi is really the fundamental engine
that they utilize to then tap into the

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1131-1
00:07:51.065 --> 00:07:53.646
number of different databases to help you
know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1131-2
00:07:53.646 --> 00:07:56.228
bring in that information and bring it to
life.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1149-0
00:07:57.708 --> 00:08:01.047
You know in the back end,
they're looking at things like claims

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1149-1
00:08:01.047 --> 00:08:03.708
databases.
They're looking at our own epic models.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1187-0
00:08:04.618 --> 00:08:07.873
You know,
at times we are able to collaborate with

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1187-1
00:08:07.873 --> 00:08:12.660
some of our sister institutions and the
larger University of Texas system,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1187-2
00:08:12.660 --> 00:08:15.852
you know,
all to bring together what is happening

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1187-3
00:08:15.852 --> 00:08:19.298
in the market. All of that, you know,
helps us frame.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1208-0
00:08:20.988 --> 00:08:24.210
Really,
scorecards that are now highly edited and

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1208-1
00:08:24.210 --> 00:08:28.077
integrative that we can share with our
frontline, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1208-2
00:08:28.077 --> 00:08:30.268
physicians and providers at large.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1237-0
00:08:30.738 --> 00:08:35.566
And help them align with the activities
that we need them to help us deliver,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1237-1
00:08:35.566 --> 00:08:40.641
such as annual Wellness visits that are
so critical to capturing complexity every

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1237-2
00:08:40.641 --> 00:08:42.498
given year. You know, sort of.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1249-0
00:08:44.428 --> 00:08:47.268
Hccs,
or comorbidity in the in the season lists.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1279-0
00:08:47.268 --> 00:08:50.344
Once again,
it's about the risk assessment that is so

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1279-1
00:08:50.344 --> 00:08:53.079
critical to understanding your with a
baseline,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1279-2
00:08:53.079 --> 00:08:55.927
you're going to work against in value
based care,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1279-3
00:08:55.927 --> 00:09:00.028
oftentimes with consequent results around
potential compensation pools.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1290-0
00:09:01.288 --> 00:09:03.768
For the organization, you know at large.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1298-0
00:09:04.288 --> 00:09:06.761
So yeah,
I would say that we're certainly quite

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1298-1
00:09:06.761 --> 00:09:07.688
data-driven there.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1311-0
00:09:08.218 --> 00:09:12.538
So you mentioned that you collaborate
with the larger UT health system.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1326-0
00:09:12.858 --> 00:09:17.145
I spoke at the beginning of this podcast
about how we're going to be discussing

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1326-1
00:09:17.145 --> 00:09:18.538
interoperability at scale.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1334-0
00:09:18.578 --> 00:09:20.338
You have many different data sources.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1355-0
00:09:20.338 --> 00:09:24.861
You mentioned revenue cycle, data sources,
analytics, power BI,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1355-1
00:09:24.861 --> 00:09:28.818
Epic and and I'm sure they're myriad more
data sources.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1367-0
00:09:29.018 --> 00:09:34.553
How does UTMB work to maximize
interoperability at scale and,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1367-1
00:09:34.553 --> 00:09:36.338
for example, access?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1374-0
00:09:36.978 --> 00:09:40.098
And access records outside of UTMB.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1383-0
00:09:40.288 --> 00:09:44.048
With the larger UT health system and
incorporate those into patient care.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1401-0
00:09:44.688 --> 00:09:48.705
Well, to be candid,
I'm going to say with great difficulty

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1401-1
00:09:48.705 --> 00:09:51.088
and effort just to be as an answer.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1408-0
00:09:51.288 --> 00:09:55.728
But yes, we do that part to be practical.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1428-0
00:10:03.888 --> 00:10:04.048
OK.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1441-0
00:10:04.118 --> 00:10:07.918
Has enabled allow us not only to share
with our sister organizations,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1441-1
00:10:07.918 --> 00:10:10.198
but just our our colleagues in our market.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1472-0
00:10:10.278 --> 00:10:14.773
You know where we have the Houston
metropolitan market is is quite large and

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1445-0
00:10:10.618 --> 00:10:10.818
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1472-1
00:10:14.773 --> 00:10:17.459
populated by quite a few players.
Thankfully,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1472-2
00:10:17.459 --> 00:10:21.604
many of them have epic as their
fundamental platform which allows care

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1472-3
00:10:21.604 --> 00:10:23.238
everywhere to be functional.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1474-0
00:10:23.758 --> 00:10:23.958
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1495-0
00:10:24.768 --> 00:10:29.208
And and all of us understanding what a
patient's journey has been in a way that

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1495-1
00:10:29.208 --> 00:10:32.648
helps us, you know,
promote best care around what we deliver.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1498-0
00:10:35.228 --> 00:10:36.868
But there's certainly.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1516-0
00:10:39.328 --> 00:10:44.188
Other you know activities that we have
engaged that are much more in the initial

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1516-1
00:10:44.188 --> 00:10:45.688
phases of of development.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1566-0
00:10:47.448 --> 00:10:51.654
And this goes back just to the
fundamental philosophy that we are a very

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1566-1
00:10:51.654 --> 00:10:54.880
large system.
When you assess all of our health related

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1566-2
00:10:54.880 --> 00:10:58.106
institutions,
which traditionally have functioned quite

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1566-3
00:10:58.106 --> 00:11:01.332
independently,
you know it's most folks would define us

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1566-4
00:11:01.332 --> 00:11:04.328
as a loosely associated federation of
independence.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1578-0
00:11:05.558 --> 00:11:10.158
But the power you know of integration is
clear.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1590-0
00:11:10.398 --> 00:11:14.838
Some others in the market are clearly
showing us, you know, in real life.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1624-0
00:11:14.838 --> 00:11:19.102
You know what that kind of scale can sort
of help bring forth,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1624-1
00:11:19.102 --> 00:11:22.215
not only in terms of power,
of understanding,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1624-2
00:11:22.215 --> 00:11:27.427
but importantly in ways of promoting
health, you know, by unified, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1624-3
00:11:27.427 --> 00:11:31.758
processes and protocols of care,
but also importantly to lower.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1622-0
00:11:30.058 --> 00:11:30.258
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1630-0
00:11:32.488 --> 00:11:34.008
The cost of care care delivery.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1639-0
00:11:35.428 --> 00:11:37.268
So what does it take to do this?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1664-0
00:11:37.268 --> 00:11:39.802
Well, again,
you have to work through politics,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1664-1
00:11:39.802 --> 00:11:42.178
you know,
and you have to come to alignment,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1664-2
00:11:42.178 --> 00:11:44.817
but ultimately you end up in the
technical piece.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1664-3
00:11:44.817 --> 00:11:46.348
And I'll give you an example.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1693-0
00:11:46.788 --> 00:11:52.801
One other things that we have been trying
to promote is really a way to come

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1693-1
00:11:52.801 --> 00:11:58.579
together as a fluid, you know,
sort of group of Confederates around, say,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1693-2
00:11:58.579 --> 00:11:59.828
radiology reads.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1703-0
00:12:00.608 --> 00:12:04.368
You know, and where we can flex, you know,
where we may have you know.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1735-0
00:12:05.518 --> 00:12:09.275
Short staff,
or perhaps you know a long queue you know

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1735-1
00:12:09.275 --> 00:12:14.670
of reads waiting to be finalized that we
could potentially in theory as a as a

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1735-2
00:12:14.670 --> 00:12:18.358
collective,
we could tap into some of our colleagues.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1756-0
00:12:18.518 --> 00:12:21.291
You know,
many of whom you know are also academic

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1756-1
00:12:21.291 --> 00:12:25.284
function and a similar set of, you know,
quality sort of benchmarks and

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1756-2
00:12:25.284 --> 00:12:28.278
expectations.
And we can sort of be more fluid there.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1760-0
00:12:28.318 --> 00:12:30.318
Why has it not happened to date?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1763-0
00:12:31.048 --> 00:12:31.928
Technology.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1799-0
00:12:32.678 --> 00:12:34.929
I mean,
that's when you have fundamental

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1799-1
00:12:34.929 --> 00:12:38.881
discussions about connectivity.
You have foment fundamental discussions

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1799-2
00:12:38.881 --> 00:12:42.724
about what systems, you know,
do you use to archive your images or to

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1799-3
00:12:42.724 --> 00:12:42.998
read?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1804-0
00:12:43.198 --> 00:12:44.318
Have your reads.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1838-0
00:12:44.438 --> 00:12:48.602
How does that, you know,
particular software or platform interface

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1838-1
00:12:48.602 --> 00:12:52.455
where the revenue cycle piece that's so
critical to generate,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1838-2
00:12:52.455 --> 00:12:57.365
you know the the payment associated with
those activities. So as it turns out,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1838-3
00:12:57.365 --> 00:12:59.478
you know most of us use different.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1847-0
00:13:00.248 --> 00:13:03.008
Systems and even when we don't use
different systems.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1853-0
00:13:03.678 --> 00:13:05.998
I'll go back to Epic as a point here.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1865-0
00:13:06.238 --> 00:13:08.743
I mean,
there's no two epic deployments that

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1865-1
00:13:08.743 --> 00:13:10.078
oftentimes are the same.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1870-0
00:13:10.078 --> 00:13:12.038
They're really customizations.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1889-0
00:13:12.038 --> 00:13:17.159
So we're kind of at that stage where
we're getting over the inertia, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1889-1
00:13:17.159 --> 00:13:20.918
to understand what the value proposition
could look like.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1883-0
00:13:17.968 --> 00:13:18.168
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1904-0
00:13:22.448 --> 00:13:24.491
And some there's some difficulty,
you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1904-1
00:13:24.491 --> 00:13:26.208
but important discussions around, OK.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1920-0
00:13:26.288 --> 00:13:30.772
How are we going to approach you know,
this bringing together our technical part,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1920-1
00:13:30.772 --> 00:13:33.888
our capabilities and platforms so that we
kind of unify.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1931-0
00:13:34.158 --> 00:13:38.878
There and does promote then the the soft
activities such as reading and the like.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1941-0
00:13:40.408 --> 00:13:43.208
And that's that's active,
you know work going on right now.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1952-0
00:13:44.138 --> 00:13:45.978
I like to delve deeper into that.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1963-0
00:13:45.978 --> 00:13:51.298
So you did talk about interoperability
externally to U PM, UTMB?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/1972-0
00:13:51.738 --> 00:13:53.938
You spoke about leveraging epic and care.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2008-0
00:13:53.938 --> 00:14:00.368
Every epics care everywhere in order to
bring in Ccd's from other institutions,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2008-1
00:14:00.368 --> 00:14:05.351
particularly in the Houston area,
but internally within UTMB,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2008-2
00:14:05.351 --> 00:14:11.218
you also spoke about how in radiology,
there's a lot of challenges with.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2013-0
00:14:11.888 --> 00:14:13.168
Reconcile different data sources.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2029-0
00:14:13.678 --> 00:14:18.718
And clinical data archives and different
reads and revenue cycle management.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2044-0
00:14:18.718 --> 00:14:22.697
So I think our listeners would love to
hear more about cuz they're facing

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2044-1
00:14:22.697 --> 00:14:23.718
similar challenges.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2058-0
00:14:23.718 --> 00:14:28.724
So how do you approach a strategy to
unify many different data source

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2058-1
00:14:28.724 --> 00:14:30.798
platforms internally at UTMB?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2078-0
00:14:31.818 --> 00:14:35.230
Well, just to be clear,
what I was touching on prior to as you

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2078-1
00:14:35.230 --> 00:14:37.938
described,
it's really not an issue within utmbi.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2115-0
00:14:37.938 --> 00:14:42.912
Think we've done quite a good job within
our our own organization and I'll touch

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2081-0
00:14:38.258 --> 00:14:38.658
Everything.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2115-1
00:14:42.912 --> 00:14:46.105
on you know,
if that's what you're getting at those

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2100-0
00:14:44.108 --> 00:14:44.508
Thank you.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2115-2
00:14:46.105 --> 00:14:49.298
challenges about bringing those platforms
together.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2109-0
00:14:46.728 --> 00:14:46.928
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2131-0
00:14:49.338 --> 00:14:52.760
I was really referring to the
capabilities of really coming together

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2131-1
00:14:52.760 --> 00:14:55.338
and gelling as a larger University of
Texas system.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2146-0
00:14:55.738 --> 00:14:58.058
You know,
that's when you essentially talk about

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2146-1
00:14:58.058 --> 00:15:00.283
UTMB,
but you're also talk about University of

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2146-2
00:15:00.283 --> 00:15:01.608
Texas Health Science Center.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2154-0
00:15:01.718 --> 00:15:04.998
Antonio University of Texas Health
Science Center in Houston.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2190-0
00:15:05.118 --> 00:15:08.944
You know Andy Anderson,
the University of Texas Southwestern,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2167-0
00:15:08.558 --> 00:15:08.958
Got it.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2190-1
00:15:08.944 --> 00:15:11.844
I mean,
you're now in each of those situations

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2190-2
00:15:11.844 --> 00:15:15.979
talking about very large organizations,
some of them such as ours,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2177-0
00:15:13.748 --> 00:15:13.948
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2190-3
00:15:15.979 --> 00:15:17.398
a system with a system.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2196-0
00:15:17.398 --> 00:15:20.518
And how is it that you bring that scale
together?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2219-0
00:15:22.008 --> 00:15:27.105
That's the part that takes an enormity of
intention, you know. But you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2219-1
00:15:27.105 --> 00:15:31.208
that has to be fueled by just some
commonality of of thought.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2233-0
00:15:31.598 --> 00:15:36.830
And commonality of purpose which I think
you know we're we're getting to much more

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2233-1
00:15:36.830 --> 00:15:37.838
work to be done.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2241-0
00:15:38.878 --> 00:15:41.358
So yeah.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2239-0
00:15:39.688 --> 00:15:40.568
To I'm sorry, go ahead.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2265-0
00:15:41.358 --> 00:15:47.277
So you're the senior vice president for
health system ambulatory operations and

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2265-1
00:15:47.277 --> 00:15:49.718
surgical services at UTMB Health.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2277-0
00:15:50.198 --> 00:15:54.594
Obviously you have counterparts at all
the other Ut's that you mentioned across

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2277-1
00:15:54.594 --> 00:15:55.638
the state of Texas.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2307-0
00:15:55.998 --> 00:16:00.115
How is it that you're able to meet the
needs of your many different service

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2307-1
00:16:00.115 --> 00:16:04.449
lines of your ambulatory operations when
you have patient cycling between those

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2307-2
00:16:04.449 --> 00:16:05.478
different UT sites?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2312-0
00:16:05.518 --> 00:16:08.478
Is that the challenge or what is the
biggest challenge?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2328-0
00:16:08.718 --> 00:16:13.555
What is the best path towards
collaboration with your peers in order to

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2328-1
00:16:13.555 --> 00:16:15.638
better serve patients in Texas?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2345-0
00:16:17.748 --> 00:16:22.738
Well, I would say quickly. Again,
the path is not always clear for sure.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2345-1
00:16:22.738 --> 00:16:24.788
So I don't know about clarity.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2352-0
00:16:24.948 --> 00:16:26.668
I go back to you know it.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2355-0
00:16:26.668 --> 00:16:28.188
It all starts with an idea.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2372-0
00:16:28.188 --> 00:16:32.148
It all starts with painting a vision of
what it could look like, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2372-1
00:16:32.148 --> 00:16:34.788
and that's where the problem starts,
so to speak.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2374-0
00:16:35.348 --> 00:16:35.548
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2403-0
00:16:36.288 --> 00:16:41.121
I think like minded individuals who bring
in collaborative frameworks, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2403-1
00:16:41.121 --> 00:16:45.119
such as the system itself,
works hard to develop amongst all of us

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2403-2
00:16:45.119 --> 00:16:47.088
is really the the starting point.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2445-0
00:16:48.308 --> 00:16:51.116
But in the end, you know,
it's all you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2445-1
00:16:51.116 --> 00:16:55.109
going to come down to how is it that we
can iron out, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2445-2
00:16:55.109 --> 00:16:59.852
some differences and importantly,
understand how a collective actually will

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2445-3
00:16:59.852 --> 00:17:04.407
bring value not only to the collective
but to each individual, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2445-4
00:17:04.407 --> 00:17:04.968
and that.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2459-0
00:17:04.968 --> 00:17:09.708
That's maybe the hardest part of of how
to think through some of these problems.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2469-0
00:17:11.128 --> 00:17:14.048
That is a challenge of a Federated system.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2478-0
00:17:14.088 --> 00:17:19.088
Why should all 13 colonies join together
into one United States?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2495-0
00:17:20.488 --> 00:17:23.169
We are approaching the end of this
podcast episode,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2495-1
00:17:23.169 --> 00:17:25.488
so I'd like to pose a final question to
you.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2501-0
00:17:25.568 --> 00:17:28.088
I'd like you to speak directly to our
listeners.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2525-0
00:17:29.808 --> 00:17:33.839
About one kind of if you had a magic lamp,
as it were,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2525-1
00:17:33.839 --> 00:17:39.629
and you could make a wish about one data
challenge that you wish could just be

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2525-2
00:17:39.629 --> 00:17:40.288
resolved.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2529-0
00:17:41.288 --> 00:17:42.568
What would you?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2536-0
00:17:44.368 --> 00:17:46.328
What would you like to see?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2547-0
00:17:46.328 --> 00:17:49.685
What kind of biggest challenge are you
facing that you're going to try to

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2547-1
00:17:49.685 --> 00:17:50.048
resolve?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2568-0
00:17:51.728 --> 00:17:56.880
And and maybe additionally, if you like,
what piece of advice would you give

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2568-1
00:17:56.880 --> 00:18:02.298
yourself a year or two ago in facing the
data challenges that you that you faced

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2568-2
00:18:02.298 --> 00:18:03.168
back in 2023?

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2585-0
00:18:06.528 --> 00:18:10.928
I think you know the thing that comes to
the forefront to me is security.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2588-0
00:18:10.928 --> 00:18:14.088
Cyber security is is such a real thing.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2615-0
00:18:15.568 --> 00:18:20.320
Everybody you know increasingly lives in
an environment where you know a

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2615-1
00:18:20.320 --> 00:18:24.095
significant amount of RIT investment has
to be, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2615-2
00:18:24.095 --> 00:18:26.048
applied in that space because.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2632-0
00:18:27.648 --> 00:18:32.252
Failing to do so and having to deal with
a A a true, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2632-1
00:18:32.252 --> 00:18:35.248
ransomware type intervention event is is.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2675-0
00:18:35.678 --> 00:18:38.424
It's a real problem and we've seen it,
you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2675-1
00:18:38.424 --> 00:18:41.338
most recently not so much in a given
health system,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2675-2
00:18:41.338 --> 00:18:43.859
although there's plenty of examples of
this,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2675-3
00:18:43.859 --> 00:18:48.342
but really more fundamental to our system
in in one of our exchanges, you know,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2675-4
00:18:48.342 --> 00:18:51.088
change healthcare where it manages hours
and so.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2681-0
00:18:51.088 --> 00:18:52.398
Many other claims.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2701-0
00:18:52.398 --> 00:18:55.351
I mean,
they were the target of such an attack

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2701-1
00:18:55.351 --> 00:18:59.497
and it was crippling not only to them as
a singular organization,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2701-2
00:18:59.497 --> 00:19:03.078
but it had ripple effects that certainly
were felt here.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2706-0
00:19:04.168 --> 00:19:06.008
In not just, you know.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2722-0
00:19:07.318 --> 00:19:12.358
Bad actors evolved their capabilities
almost as fast as everybody else does.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2727-0
00:19:12.758 --> 00:19:16.238
So that that certainly, you know,
keeps me up at night.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2742-0
00:19:17.688 --> 00:19:22.968
The yeah, that has to be tops for sure.
What I would do today that's different.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2747-0
00:19:24.728 --> 00:19:26.568
From, say, two years ago.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2754-0
00:19:32.248 --> 00:19:33.768
I would have to go further back.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2762-0
00:19:33.768 --> 00:19:36.722
You know,
I because I've always been very data

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2762-1
00:19:36.722 --> 00:19:37.288
oriented.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2769-0
00:19:37.628 --> 00:19:37.828
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2789-0
00:19:37.648 --> 00:19:41.958
I mean the other part we're not
discussing about here is I'm a surgeon,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2789-1
00:19:41.958 --> 00:19:46.448
scientist by training and certainly by
much of my first part of my career.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2815-0
00:19:46.648 --> 00:19:52.169
So in a way, I have learned to manage,
you know, fundamentally as I do science,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2815-1
00:19:52.169 --> 00:19:56.654
you know and that's you know,
with experiments, with hypotheses,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2815-2
00:19:56.654 --> 00:19:58.448
with data collection with.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2824-0
00:19:59.208 --> 00:20:01.048
Data review and conclusion drawing.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2828-0
00:20:01.928 --> 00:20:02.128
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2862-0
00:20:01.928 --> 00:20:05.818
And that in the business world,
you know is you have a problem and then

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2862-1
00:20:05.818 --> 00:20:09.114
you fart, you know,
an idea that you transition into a pilot

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2862-2
00:20:09.114 --> 00:20:12.788
and then you develop KP is,
which you collect and then you analyze,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2862-3
00:20:12.788 --> 00:20:16.408
and then you hardwire something network
and something that didn't.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2869-0
00:20:17.008 --> 00:20:20.248
That's just a parallel process to
research.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2874-0
00:20:21.248 --> 00:20:21.448
Mm hmm.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2912-0
00:20:21.728 --> 00:20:27.228
And so the idea that data is gonna have
value and provide insight,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2912-1
00:20:27.228 --> 00:20:31.168
it's always been a part of my approach to
work.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2912-2
00:20:31.168 --> 00:20:37.818
And I think just the environment in our
industry and and you know just really it

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2912-3
00:20:37.818 --> 00:20:42.168
as a whole.
You know we've seen it just flourish in.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2930-0
00:20:42.168 --> 00:20:45.672
In such obvious ways across our lives.
And then you bring it into our industry.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2930-1
00:20:45.672 --> 00:20:47.248
It's just validated in so many ways.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2939-0
00:20:48.138 --> 00:20:51.218
Maybe I would have thought, you know,
move faster, you know.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2938-0
00:20:50.948 --> 00:20:51.188
Huh.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2945-0
00:20:52.688 --> 00:20:54.208
So, but there's always layers to that.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/2951-0
00:20:55.268 --> 00:20:55.868
All right, Vicente.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3001-0
00:20:55.868 --> 00:21:00.689
Well, we've covered a lot of ground today.
We spoke about a whole data approach,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3001-1
00:21:00.689 --> 00:21:05.212
a proactive patient care management,
some homegrown models of provider data

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3001-2
00:21:05.212 --> 00:21:08.604
management that you developed with Rev
cycle management,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3001-3
00:21:08.604 --> 00:21:12.710
working with interoperability at scale
external to the organization.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3001-4
00:21:12.710 --> 00:21:15.388
We spoke about drilling into Radiologies
as.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3015-0
00:21:15.388 --> 00:21:19.332
A specific service line where there's
value in providing interoperability of

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3015-1
00:21:19.332 --> 00:21:19.588
data.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3028-0
00:21:20.248 --> 00:21:25.608
And then we've emphasized cybersecurity
and made a parallel between research.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3040-0
00:21:26.158 --> 00:21:29.518
And data management and making
data-driven decisions.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3049-0
00:21:29.518 --> 00:21:32.718
So I think that will resonate well with
our listeners.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3056-0
00:21:32.718 --> 00:21:36.032
So, Vasant,
I'd like to thank you for joining us

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3056-1
00:21:36.032 --> 00:21:36.438
today.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3061-0
00:21:37.428 --> 00:21:39.228
Thank you, Jordan. It's been a pleasure.

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3107-0
00:21:39.798 --> 00:21:42.749
For our listeners,
this has been Vicente Resto,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3107-1
00:21:42.749 --> 00:21:46.561
the SVP for health system,
ambulatory operations and surgical

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3107-2
00:21:46.561 --> 00:21:51.111
services and the Chief physician
executive for the faculty group practice

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3107-3
00:21:51.111 --> 00:21:55.906
at the University of Texas Medical Branch
Health in Galveston, TX. Take care,

8ab0ed5c-40ea-44a5-b89d-1915350d1f43/3107-4
00:21:55.906 --> 00:21:56.398
Vicente.