2e4c995b-2d20-47b3-bc90-0856e33ff32f/5-0
00:00:03.356 --> 00:00:06.838
with Stephen Weber.
He is the former Executive Vice President

2e4c995b-2d20-47b3-bc90-0856e33ff32f/5-1
00:00:06.838 --> 00:00:10.826
and Chief Medical Officer and the
co-founder of the Center for Digital

2e4c995b-2d20-47b3-bc90-0856e33ff32f/5-2
00:00:10.826 --> 00:00:15.206
Transformation for the University of
Chicago Medicine Health System. Stephen,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/5-3
00:00:15.206 --> 00:00:17.396
thank you so much for joining us today.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/6-0
00:00:17.796 --> 00:00:19.796
Jordan is good to be here.
Thanks so much for having me.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-0
00:00:20.116 --> 00:00:22.811
As background,
University of Chicago Medicine Health

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-1
00:00:22.811 --> 00:00:25.708
System is headquartered in Chicago,
Illinois, and has 2,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-2
00:00:25.708 --> 00:00:29.266
000 beds across 10 hospitals serviced by
3,000 providers. So Stephen,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-3
00:00:29.266 --> 00:00:33.384
today we're going to be discussing the
importance of implementation and adoption

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-4
00:00:33.384 --> 00:00:37.196
in the application of digital health and
AI to improve safety and quality.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/8-5
00:00:37.196 --> 00:00:39.636
That's A mouthful,
a lot of catchphrases there.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/10-0
00:00:39.876 --> 00:00:42.244
We can do AI, safety, quality,
implementation.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/10-1
00:00:42.244 --> 00:00:44.461
So I'm going to throw it over to your
side.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/10-2
00:00:44.461 --> 00:00:48.391
What would you like to start with first?
Tell me a little bit of the story of

2e4c995b-2d20-47b3-bc90-0856e33ff32f/10-3
00:00:48.391 --> 00:00:51.716
creating a center for transformation and
your perspective as CMO.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/9-0
00:00:48.596 --> 00:00:48.996
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-0
00:00:52.596 --> 00:00:56.752
Yeah, no, I'm glad you said it.
It's A mouthful and that there's a lot of

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-1
00:00:56.752 --> 00:00:59.503
buzzwords because that's both true in the
title,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-2
00:00:59.503 --> 00:01:02.479
but also what we're all facing right in
our systems.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-3
00:01:02.479 --> 00:01:06.859
And I think that's what we were facing
looking at. And I like to tell people,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-4
00:01:06.859 --> 00:01:10.677
I think like a lot of systems,
we found ourselves trying to balance

2e4c995b-2d20-47b3-bc90-0856e33ff32f/13-5
00:01:10.677 --> 00:01:13.316
between fear of AI and all the digital
changes

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-0
00:01:13.436 --> 00:01:16.313
and then fear of missing out around it.
And so to that end,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/12-0
00:01:15.236 --> 00:01:15.716
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-1
00:01:16.313 --> 00:01:20.341
how we were trying to balance the idea of
making sure that we were staying not just

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-2
00:01:20.341 --> 00:01:23.170
ahead of the competition,
but that we were actually really

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-3
00:01:23.170 --> 00:01:26.239
delivering for our patients,
especially in those domains around

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-4
00:01:26.239 --> 00:01:28.493
quality and safety. But at the same time,
too,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-5
00:01:28.493 --> 00:01:32.089
there's a little bit of a disincentive,
right, to being too far out ahead,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/16-6
00:01:32.089 --> 00:01:36.116
especially with some of the AI technology
and some of the concerns that we have. So

2e4c995b-2d20-47b3-bc90-0856e33ff32f/14-0
00:01:32.676 --> 00:01:32.996
No.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/15-0
00:01:36.356 --> 00:01:36.596
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/17-0
00:01:36.476 --> 00:01:40.203
We really tried to develop programming
and a focus that would say, yeah,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/17-1
00:01:40.203 --> 00:01:44.339
this is core to our business mission and
what we're doing, but at the same time,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/17-2
00:01:44.339 --> 00:01:46.534
too,
required some very specific attention

2e4c995b-2d20-47b3-bc90-0856e33ff32f/17-3
00:01:46.534 --> 00:01:48.116
before we just turned it loose.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/19-0
00:01:48.516 --> 00:01:52.483
So I think a lot of organizations across
the United States in 2026 are

2e4c995b-2d20-47b3-bc90-0856e33ff32f/19-1
00:01:52.483 --> 00:01:56.729
encountering AI and developing their
strategy and trying to figure out what

2e4c995b-2d20-47b3-bc90-0856e33ff32f/19-2
00:01:56.729 --> 00:02:00.249
their governance model is,
what the security implications are.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/18-0
00:01:58.116 --> 00:01:58.676
Personally.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/19-3
00:02:00.249 --> 00:02:04.774
How do they even clean up their data so
that they're feeding it with appropriate

2e4c995b-2d20-47b3-bc90-0856e33ff32f/19-4
00:02:04.774 --> 00:02:08.796
models without risking the release of PHI?
What are some of the primary

2e4c995b-2d20-47b3-bc90-0856e33ff32f/21-0
00:02:08.876 --> 00:02:12.216
concerns and business drivers of
Northwestern,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/21-1
00:02:12.216 --> 00:02:15.556
of New Chicago Medicine's adoption of Gen.
AI.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/20-0
00:02:14.596 --> 00:02:14.836
With.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-0
00:02:16.036 --> 00:02:18.557
Well,
I think it's actually the same for all of

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-1
00:02:18.557 --> 00:02:22.496
our competitors and colleagues here in
Chicago and across the country too.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-2
00:02:22.496 --> 00:02:25.122
And you hit on some of the same themes.
You know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-3
00:02:25.122 --> 00:02:29.218
the work that we might do around AI,
whether it's with foundational models or

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-4
00:02:29.218 --> 00:02:32.159
in terms of things that we might be
building ourselves,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-5
00:02:32.159 --> 00:02:36.360
it is predicated on the nature of the
data that we have and also the, you know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/23-6
00:02:36.360 --> 00:02:40.036
the importance and the sanctity of that
day, of those data, right? So

2e4c995b-2d20-47b3-bc90-0856e33ff32f/22-0
00:02:38.476 --> 00:02:38.636
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-0
00:02:40.436 --> 00:02:44.112
So the work that we had built in,
even before we had heard of the first

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-1
00:02:44.112 --> 00:02:47.175
large language model,
was really around data governance and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/24-0
00:02:45.556 --> 00:02:46.116
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-2
00:02:47.175 --> 00:02:50.545
also cleaning up our data.
So we made a lot of our investments in

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-3
00:02:50.545 --> 00:02:53.353
quality and safety.
We were never a place during that,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-4
00:02:53.353 --> 00:02:56.467
hired a lot of kind of past their prime
clinicians who said,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-5
00:02:56.467 --> 00:03:00.551
I want to get into quality at this point.
We've always been very quantitatively

2e4c995b-2d20-47b3-bc90-0856e33ff32f/25-0
00:02:59.196 --> 00:02:59.796
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-6
00:03:00.551 --> 00:03:03.155
oriented.
And what we built our quality and safety

2e4c995b-2d20-47b3-bc90-0856e33ff32f/27-7
00:03:03.155 --> 00:03:03.716
programs on

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-0
00:03:03.996 --> 00:03:08.804
were around data and analytics and really
establishing an analytic source of truth

2e4c995b-2d20-47b3-bc90-0856e33ff32f/26-0
00:03:06.076 --> 00:03:06.436
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-1
00:03:08.804 --> 00:03:13.032
for our operations, for our quality,
and certainly into our strategy and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-2
00:03:13.032 --> 00:03:16.449
finance as well.
So that was the foundational piece to it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-3
00:03:16.449 --> 00:03:20.735
And it's not a step that can be skipped.
So if you're going to, you know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/28-0
00:03:18.996 --> 00:03:19.476
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-4
00:03:20.735 --> 00:03:23.516
we're hearing these pitches from big
companies,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/30-5
00:03:23.516 --> 00:03:25.716
existing vendors and startups as well,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/29-0
00:03:26.036 --> 00:03:26.436
Okay.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/31-0
00:03:26.036 --> 00:03:29.446
But it really is going to be predicated
to have we done the due diligence in

2e4c995b-2d20-47b3-bc90-0856e33ff32f/31-1
00:03:29.446 --> 00:03:32.767
terms of cleaning up our own data and
having it ready to serve us in these

2e4c995b-2d20-47b3-bc90-0856e33ff32f/31-2
00:03:32.767 --> 00:03:33.076
models.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/32-0
00:03:33.396 --> 00:03:37.258
So I think, again,
a lot of listeners can identify, sure,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/32-1
00:03:37.258 --> 00:03:40.720
we have these, you know,
ambient listening scribes.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/32-2
00:03:40.720 --> 00:03:44.315
We have a lot of other vendors,
sometimes large EHRs,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/32-3
00:03:44.315 --> 00:03:49.175
sometimes independent startups,
all promising a lot of value through AI.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/32-4
00:03:49.175 --> 00:03:52.836
But I think what you're talking about is
the less sexy

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-0
00:03:53.476 --> 00:03:55.765
kind of prerequisite of selecting A
vendor,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-1
00:03:55.765 --> 00:03:59.979
which is how do we clean up our data?
So I'd love to ask you to just delve into,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/33-0
00:03:57.716 --> 00:03:58.036
Thank you.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-2
00:03:59.979 --> 00:04:02.320
okay,
we know that we're going to have those

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-3
00:04:02.320 --> 00:04:04.817
conversations maybe 6,
12 months down the line.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-4
00:04:04.817 --> 00:04:08.823
Maybe we're even having them in parallel.
But what are we doing right now to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/34-0
00:04:07.476 --> 00:04:07.716
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-5
00:04:08.823 --> 00:04:11.632
improve data quality?
What are we doing with the data

2e4c995b-2d20-47b3-bc90-0856e33ff32f/35-6
00:04:11.632 --> 00:04:13.556
governance? What are we doing with...

2e4c995b-2d20-47b3-bc90-0856e33ff32f/36-0
00:04:13.756 --> 00:04:16.695
with aggregating, normalizing,
deduplicating the data,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/36-1
00:04:16.695 --> 00:04:19.420
ensuring that it's high quality data,
define that,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/36-2
00:04:19.420 --> 00:04:21.076
how do we go down that journey?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-0
00:04:21.556 --> 00:04:24.055
Well,
the answer about what we're going to do

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-1
00:04:24.055 --> 00:04:28.129
is yes to everything that you said.
We need to make sure we have the right

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-2
00:04:28.129 --> 00:04:32.094
expertise on the ground to be able to do
it. And we have to realize too,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-3
00:04:32.094 --> 00:04:36.168
not everyone who's listening to the or
watching the podcast right now will

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-4
00:04:36.168 --> 00:04:39.808
necessarily have the same set of
resources and expertise to apply.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-5
00:04:39.808 --> 00:04:43.827
So really understanding what you need to
invest in in terms of either the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/37-6
00:04:43.827 --> 00:04:45.076
personnel and expertise

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-0
00:04:45.316 --> 00:04:47.731
or the partners with whom you're going to
work,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-1
00:04:47.731 --> 00:04:51.957
who are going to help clean up the data.
It is a lot of work around, like you said,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-2
00:04:51.957 --> 00:04:56.233
you're looking to pull out redundant data.
You're looking to make sure that what you

2e4c995b-2d20-47b3-bc90-0856e33ff32f/38-0
00:04:52.756 --> 00:04:52.876
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-3
00:04:56.233 --> 00:05:00.157
think you're measuring is actually being
measured. And that is the, you know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-4
00:05:00.157 --> 00:05:03.024
I also hate to frame it that way.
It is the unsexy work,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-5
00:05:03.024 --> 00:05:06.445
but it really speaks to the issue that's
applied going forward too,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/40-6
00:05:06.445 --> 00:05:08.356
which is the discipline that it takes.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-0
00:05:08.716 --> 00:05:12.265
To recognize that each of these steps,
you need to have some discipline about

2e4c995b-2d20-47b3-bc90-0856e33ff32f/39-0
00:05:09.476 --> 00:05:09.596
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-1
00:05:12.265 --> 00:05:14.540
what you're doing.
So in terms of the governance,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-2
00:05:14.540 --> 00:05:17.270
you want to have a broad representation
of data governance.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-3
00:05:17.270 --> 00:05:20.091
You don't want just a bunch of,
with all due respect to them,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/41-0
00:05:19.876 --> 00:05:19.956
The.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-4
00:05:20.091 --> 00:05:23.140
technology hacks around the table when
you're thinking about data.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-5
00:05:23.140 --> 00:05:26.734
You need clinical, you need operational,
you need strategic leaders. That way,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/43-6
00:05:26.734 --> 00:05:29.236
you're also sending a message to the
organization that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-0
00:05:29.476 --> 00:05:32.341
This is really important.
This is a key asset, a key tool,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/42-0
00:05:31.236 --> 00:05:31.716
Mmh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-1
00:05:32.341 --> 00:05:34.527
and essential for our success going
forward.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-2
00:05:34.527 --> 00:05:36.954
So that governance becomes the first
piece of it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-3
00:05:36.954 --> 00:05:40.062
It's investments in understanding that
your systems are, again,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-4
00:05:40.062 --> 00:05:43.753
delivering what you think they are in
terms of the analytics and doing that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-5
00:05:43.753 --> 00:05:46.278
validation.
But the discipline really picks up with

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-6
00:05:46.278 --> 00:05:48.511
that part that you talked to next.
And again,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/44-7
00:05:48.511 --> 00:05:51.036
I'm still not sure it's getting into the
sexy part,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/48-0
00:05:51.356 --> 00:05:55.730
But it's the idea of looking at what are
we going to solve with these new tools.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/48-1
00:05:55.730 --> 00:06:00.157
And I think for a big piece for us was we
realized there were a lot of people who

2e4c995b-2d20-47b3-bc90-0856e33ff32f/48-2
00:06:00.157 --> 00:06:04.476
were willing with good intentions to come
and sell to us products and solutions

2e4c995b-2d20-47b3-bc90-0856e33ff32f/45-0
00:06:00.716 --> 00:06:01.076
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/46-0
00:06:03.676 --> 00:06:03.796
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/48-3
00:06:04.476 --> 00:06:08.795
that are important and that may or may
not deliver on the value that we expect.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/48-4
00:06:08.795 --> 00:06:12.196
But we needed to start with the idea of
prioritizing ourselves

2e4c995b-2d20-47b3-bc90-0856e33ff32f/47-0
00:06:09.876 --> 00:06:09.916
Oh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/52-0
00:06:12.516 --> 00:06:16.263
around what are the problems that we're
facing today. And for us,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/49-0
00:06:14.876 --> 00:06:15.396
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/52-1
00:06:16.263 --> 00:06:20.974
we built in with our data governance and
then our prioritization schemes in IT and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/52-2
00:06:20.974 --> 00:06:24.606
in the clinical services to say,
we start everything by saying,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/50-0
00:06:23.316 --> 00:06:23.556
Okay.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/52-3
00:06:24.606 --> 00:06:28.579
what's the problem that we're trying to
solve? And then we move into,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/51-0
00:06:26.276 --> 00:06:26.876
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/52-4
00:06:28.579 --> 00:06:32.836
and this is built into our meeting
agendas and how we're talking about it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-0
00:06:33.036 --> 00:06:35.945
What's the capability we need to address
that problem?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-1
00:06:35.945 --> 00:06:40.334
And only then do we dig into the solution.
And I think for a lot of people who are

2e4c995b-2d20-47b3-bc90-0856e33ff32f/53-0
00:06:38.996 --> 00:06:39.116
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-2
00:06:40.334 --> 00:06:44.036
taking part in this right now,
we can all appreciate that despite our

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-3
00:06:44.036 --> 00:06:46.786
best efforts to do it that way,
without discipline,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-4
00:06:46.786 --> 00:06:50.647
we'll often start with a solution.
We'll hear a compelling vendor story.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/54-5
00:06:50.647 --> 00:06:53.396
We'll hear from a colleague at another
institution.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/55-0
00:06:53.596 --> 00:06:56.795
We'll listen on a podcast and hear about
something that was terrific.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/55-1
00:06:56.795 --> 00:07:00.359
And then we'll try to come back and say,
what problem can we solve with this?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/55-2
00:07:00.359 --> 00:07:02.552
But that's just for me,
management malpractice.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/55-3
00:07:02.552 --> 00:07:06.116
I think we need to start by saying,
what's the problem we're trying to solve?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-0
00:07:06.436 --> 00:07:09.308
So Stephen,
I think a lot of the listeners to Healthy

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-1
00:07:09.308 --> 00:07:13.403
Data Podcast really do appreciate when we
dive deep into a specific example.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-2
00:07:13.403 --> 00:07:17.179
Could you select one priority?
It doesn't have to be the top priority,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-3
00:07:17.179 --> 00:07:21.008
but one priority that UChicago has
addressed in the last few years that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-4
00:07:21.008 --> 00:07:24.518
you've been involved with.
And once you identified that priority,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-5
00:07:24.518 --> 00:07:27.071
what was the problem you were seeking to
solve?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/56-6
00:07:27.071 --> 00:07:29.676
How did you identify a solution that you
thought

2e4c995b-2d20-47b3-bc90-0856e33ff32f/57-0
00:07:29.876 --> 00:07:35.433
AI might be able to support in addressing
that problem? And then finally,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/57-1
00:07:35.433 --> 00:07:41.441
how are you able to kind of implement and
evaluate the value of that particular

2e4c995b-2d20-47b3-bc90-0856e33ff32f/57-2
00:07:41.441 --> 00:07:42.116
solution?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-0
00:07:42.596 --> 00:07:45.264
I love,
and that's exactly the framing for it,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-1
00:07:45.264 --> 00:07:48.612
right, Jordan? And look,
let's take something that, again,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-2
00:07:48.612 --> 00:07:51.620
it's become ironically tried and true at
this point,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-3
00:07:51.620 --> 00:07:56.274
but could be familiar to a lot of people.
And that's how we thought about Ambient

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-4
00:07:56.274 --> 00:07:58.998
Scribe.
We were very much an early adopter with

2e4c995b-2d20-47b3-bc90-0856e33ff32f/58-0
00:07:56.476 --> 00:07:56.956
Mmh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-5
00:07:58.998 --> 00:08:01.949
our vendor.
We actually looked at it as the problem

2e4c995b-2d20-47b3-bc90-0856e33ff32f/59-0
00:08:00.276 --> 00:08:00.356
The.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/60-6
00:08:01.949 --> 00:08:02.516
of saying,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-0
00:08:02.796 --> 00:08:05.225
We have capacity and access problems.
Again,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-1
00:08:05.225 --> 00:08:09.165
I think that's probably familiar to a lot
of people listening right now.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-2
00:08:09.165 --> 00:08:11.539
That's true in ambulatory and an
inpatient,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-3
00:08:11.539 --> 00:08:15.749
but we'll focus on ambulatory right now.
And we were seeing that we were not,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-4
00:08:15.749 --> 00:08:20.012
we were really having difficulty asking
of our clinicians to really come up to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/61-5
00:08:20.012 --> 00:08:23.196
the volume that we need to see in order
to meet the demand

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-0
00:08:23.356 --> 00:08:26.765
for new patients, existing patients.
And we were like everyone else,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-1
00:08:26.765 --> 00:08:28.988
trying every system we could do around
this.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-2
00:08:28.988 --> 00:08:32.792
So we actually looked at Ambient Scribe
as solving the problem or helping to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-3
00:08:32.792 --> 00:08:36.398
address the capacity problem.
So as we looked at that, we thought about,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/62-0
00:08:34.916 --> 00:08:35.516
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-4
00:08:36.398 --> 00:08:39.412
here's the problem.
We can't get patients in to see us in an

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-5
00:08:39.412 --> 00:08:43.067
ambulatory setting. I'm in practice.
I'm an infectious disease doctor and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/64-6
00:08:43.067 --> 00:08:43.956
epidemiologist. So

2e4c995b-2d20-47b3-bc90-0856e33ff32f/67-0
00:08:44.196 --> 00:08:48.421
I was living this too. We said,
what are the capabilities that are going

2e4c995b-2d20-47b3-bc90-0856e33ff32f/63-0
00:08:45.636 --> 00:08:46.116
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/67-1
00:08:48.421 --> 00:08:52.298
to help expand that access?
And so the ambient scribe was one of a

2e4c995b-2d20-47b3-bc90-0856e33ff32f/65-0
00:08:49.636 --> 00:08:49.756
Yes.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/67-2
00:08:52.298 --> 00:08:56.696
number of measures that we deployed.
Some of them technologically oriented,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/66-0
00:08:56.316 --> 00:08:56.676
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/67-3
00:08:56.696 --> 00:09:00.804
some more based on scheduling,
some other technology oriented, though,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/67-4
00:09:00.804 --> 00:09:04.276
that included things like patient
self-scheduling, whatnot.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-0
00:09:04.516 --> 00:09:07.920
But what we saw was that, all right,
we saw this opportunity around the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-1
00:09:07.920 --> 00:09:11.748
Ambient Scribe, and we said, all right,
that's a solution we're going to go for.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/68-0
00:09:08.676 --> 00:09:09.076
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-2
00:09:11.748 --> 00:09:14.253
When we looked at the existing vendors at
that time,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/69-0
00:09:11.956 --> 00:09:12.476
Correct.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-3
00:09:14.253 --> 00:09:17.798
we were looking for a partner with
co-development. We were looking to say,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-4
00:09:17.798 --> 00:09:21.343
who's somebody going to grow with us?
This is ironically over two or three

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-5
00:09:21.343 --> 00:09:23.611
years, right?
It's a different environment now.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/70-0
00:09:21.796 --> 00:09:22.036
No.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/72-6
00:09:23.611 --> 00:09:25.076
We see the established players.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/71-0
00:09:25.156 --> 00:09:25.436
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-0
00:09:25.356 --> 00:09:27.685
We know who's doing what,
but at that time,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-1
00:09:27.685 --> 00:09:31.707
we were really trying to pick a horse
that we thought was actually going to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/73-0
00:09:31.316 --> 00:09:31.716
Right.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-2
00:09:31.707 --> 00:09:34.671
grow with us or race with us to stick
with the analogy.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-3
00:09:34.671 --> 00:09:37.740
And as we move forward with it, though,
we set up a very,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-4
00:09:37.740 --> 00:09:42.133
very complex set of measures that go with
it. You mentioned that in your question.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-5
00:09:42.133 --> 00:09:45.308
And this becomes absolutely critical
because there is more,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/74-6
00:09:45.308 --> 00:09:47.636
we as an organization spent a lot more
time

2e4c995b-2d20-47b3-bc90-0856e33ff32f/75-0
00:09:47.876 --> 00:09:52.489
looking and anticipating return on
investment and return on value when we

2e4c995b-2d20-47b3-bc90-0856e33ff32f/75-1
00:09:52.489 --> 00:09:56.602
were signing contracts.
We were not always as good at coming back

2e4c995b-2d20-47b3-bc90-0856e33ff32f/75-2
00:09:56.602 --> 00:10:01.713
and really tracking the value later on.
So we built up a scorecard around what we

2e4c995b-2d20-47b3-bc90-0856e33ff32f/75-3
00:10:01.713 --> 00:10:05.390
expected to see,
and that included throughput on patients.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/75-4
00:10:05.390 --> 00:10:09.316
It included measures around provider
burnout. We used actually

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-0
00:10:10.196 --> 00:10:14.223
a rating that truly originated with the
space program that looked at cognitive

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-1
00:10:14.223 --> 00:10:17.179
load for the clinicians.
We looked at patient experience,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/76-0
00:10:15.476 --> 00:10:15.676
Huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-2
00:10:17.179 --> 00:10:21.257
and we said, we're going to track these.
We're going to look at same store over

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-3
00:10:21.257 --> 00:10:24.876
different visits, if you will.
We're going to look between and amongst

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-4
00:10:24.876 --> 00:10:27.272
clinicians. And we committed in a way,
though,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/78-5
00:10:27.272 --> 00:10:31.196
that was actually a commitment and not a
pilot. We really did not want to be

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-0
00:10:31.476 --> 00:10:35.004
death by pilot as we do this.
So there were a lot of organizations at

2e4c995b-2d20-47b3-bc90-0856e33ff32f/77-0
00:10:33.156 --> 00:10:33.636
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-1
00:10:35.004 --> 00:10:39.136
the time who were getting a lot of play
for having gotten 10 license and rotating

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-2
00:10:39.136 --> 00:10:41.353
them around, you know,
different practices.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-3
00:10:41.353 --> 00:10:44.075
We went in with about 200 licenses as our
first take.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/80-0
00:10:41.516 --> 00:10:41.716
Mm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-4
00:10:44.075 --> 00:10:47.854
We wanted to get beyond the early
adopters and innovators and penetrate in

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-5
00:10:47.854 --> 00:10:51.482
some of the areas where folks might
struggle a little bit more with the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/82-6
00:10:51.482 --> 00:10:52.036
technology.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/81-0
00:10:52.236 --> 00:10:52.836
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-0
00:10:52.676 --> 00:10:56.912
And we went live with a focus on driving
adoption of saying that we want to make

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-1
00:10:56.912 --> 00:11:00.991
sure we have the resources in place so
that you can actually make use of this

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-2
00:11:00.991 --> 00:11:03.448
tool.
So this all becomes important because as

2e4c995b-2d20-47b3-bc90-0856e33ff32f/83-0
00:11:02.516 --> 00:11:02.996
Mmh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-3
00:11:03.448 --> 00:11:06.690
we started to look back at the day and
accumulate experience,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-4
00:11:06.690 --> 00:11:09.880
we were getting warm and fuzzies from
people. This is great.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/85-5
00:11:09.880 --> 00:11:11.396
We're glad you're doing this.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/88-0
00:11:11.676 --> 00:11:14.587
But there were a couple of things that
went with it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/84-0
00:11:11.796 --> 00:11:11.956
No.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/88-1
00:11:14.587 --> 00:11:18.651
We expected from the beginning,
we were very transparent with our medical

2e4c995b-2d20-47b3-bc90-0856e33ff32f/86-0
00:11:15.716 --> 00:11:16.036
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/88-2
00:11:18.651 --> 00:11:21.946
staff and providers. We said,
if you're adopting this tool,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/88-3
00:11:21.946 --> 00:11:26.064
we're going to expect your template to
expand. And I know that was really,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/87-0
00:11:23.396 --> 00:11:23.876
Okay.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/88-4
00:11:26.064 --> 00:11:27.876
really, we had a lot of pushback.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-0
00:11:28.836 --> 00:11:31.888
externally from that.
We had a lot of our folks who were going

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-1
00:11:31.888 --> 00:11:35.810
out and talking about this, saying, no,
you really can't do that. That's unfair.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-2
00:11:35.810 --> 00:11:38.474
People don't want to take on. And look,
and we get it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-3
00:11:38.474 --> 00:11:42.397
I understand clinicians can feel really
overburdened. But at the same time, too,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-4
00:11:42.397 --> 00:11:45.206
I think for us,
we were fortunate that people were seeing

2e4c995b-2d20-47b3-bc90-0856e33ff32f/89-0
00:11:43.636 --> 00:11:44.196
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-5
00:11:45.206 --> 00:11:48.451
how difficult it was to get patients in.
And so for those earlier,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/90-0
00:11:46.916 --> 00:11:47.516
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/91-6
00:11:48.451 --> 00:11:50.436
those 200 folks who took the licenses on,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-0
00:11:50.716 --> 00:11:54.462
Their templates expanded and they added,
I think, one or two patients a week.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-1
00:11:54.462 --> 00:11:56.863
So A modest number,
but still the idea of saying,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-2
00:11:56.863 --> 00:12:00.417
if the problem we're trying to solve is
access, we need to expand access.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-3
00:12:00.417 --> 00:12:03.682
But the results themselves, Jordan,
which I'll come to in a moment,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/92-0
00:12:00.996 --> 00:12:01.796
Right, I.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-4
00:12:03.682 --> 00:12:07.668
I think were really surprising and really
interesting to us and point to this idea

2e4c995b-2d20-47b3-bc90-0856e33ff32f/94-5
00:12:07.668 --> 00:12:08.916
of a disciplined approach.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/93-0
00:12:08.556 --> 00:12:10.756
And what were those results?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/97-0
00:12:11.236 --> 00:12:14.758
So we saw,
we did see that slight increase in the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/95-0
00:12:14.196 --> 00:12:14.516
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/97-1
00:12:14.758 --> 00:12:18.913
patient, in the capacity.
For all the talk of pajama time,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/97-2
00:12:18.913 --> 00:12:22.011
for all the talk of beleaguered
physicians,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/96-0
00:12:20.596 --> 00:12:21.076
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/97-3
00:12:22.011 --> 00:12:27.434
what we actually saw was a discrepancy
between the measure time that we were

2e4c995b-2d20-47b3-bc90-0856e33ff32f/97-4
00:12:27.434 --> 00:12:31.236
saying, we're an epic shop,
and so we're able to look

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-0
00:12:31.516 --> 00:12:35.428
and understand how much folks are looking
at the medical record outside of their

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-1
00:12:35.428 --> 00:12:38.277
clinical practice.
And we saw that there wasn't a dramatic

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-2
00:12:38.277 --> 00:12:40.692
change.
It might have been a few minutes here and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-3
00:12:40.692 --> 00:12:42.913
there.
There were some clinicians for whom it

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-4
00:12:42.913 --> 00:12:45.859
was more pronounced,
but across all of them, it wasn't huge.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/98-0
00:12:45.796 --> 00:12:46.276
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-5
00:12:45.859 --> 00:12:48.901
What did change, though,
was the perceived time in the medical

2e4c995b-2d20-47b3-bc90-0856e33ff32f/99-0
00:12:48.596 --> 00:12:48.716
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-6
00:12:48.901 --> 00:12:51.219
record,
that folks who envision that they might

2e4c995b-2d20-47b3-bc90-0856e33ff32f/100-7
00:12:51.219 --> 00:12:54.116
be spending upwards of an hour or two in
the medical record

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-0
00:12:54.356 --> 00:12:57.094
outside of clinic,
were now saying that they were only

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-1
00:12:57.094 --> 00:13:01.076
spending half an hour. It was really hard,
if not impossible, to validate that.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-2
00:13:01.076 --> 00:13:03.764
But the perception was there,
and that was important.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/101-0
00:13:01.156 --> 00:13:01.556
Huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-3
00:13:03.764 --> 00:13:06.502
We were getting enormously positive
feedback about it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-4
00:13:06.502 --> 00:13:09.489
But the one that really blew us away and
that we suspected,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-5
00:13:09.489 --> 00:13:12.177
and certainly the vendors said it would
be important,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/102-6
00:13:12.177 --> 00:13:14.516
we saw dramatic changes in patient
experience.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-0
00:13:14.676 --> 00:13:18.818
Our patients notice the difference.
They notice the engagement of the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-1
00:13:18.818 --> 00:13:21.775
clinicians.
I was not someone by the nature of my

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-2
00:13:21.775 --> 00:13:25.029
clinical schedule,
I'm not hiding behind a keyboard in

2e4c995b-2d20-47b3-bc90-0856e33ff32f/103-0
00:13:24.516 --> 00:13:24.996
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-3
00:13:25.029 --> 00:13:28.934
clinic, but I have to say,
even with now using the ambient scribe

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-4
00:13:28.934 --> 00:13:32.897
technology, I felt more present.
I felt less cognitive load and my

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-5
00:13:32.897 --> 00:13:36.742
patients really noted it.
And we could actually compare not just

2e4c995b-2d20-47b3-bc90-0856e33ff32f/104-6
00:13:36.742 --> 00:13:37.156
between

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-0
00:13:37.476 --> 00:13:42.006
ambient scribe users and non-users,
but even ambient scribe users who from

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-1
00:13:42.006 --> 00:13:45.206
time to time would forget to turn on the
microphone,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-2
00:13:45.206 --> 00:13:50.279
we could see differences in terms of the
patient experience. So for us, we started,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/105-0
00:13:46.076 --> 00:13:46.676
Mm-hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-3
00:13:50.279 --> 00:13:53.782
we want to expand access.
We succeeded to a small degree,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-4
00:13:53.782 --> 00:13:58.371
but we had a comprehensive measure set
that actually allowed us to detect a

2e4c995b-2d20-47b3-bc90-0856e33ff32f/106-5
00:13:58.371 --> 00:13:59.156
broader range

2e4c995b-2d20-47b3-bc90-0856e33ff32f/107-0
00:13:59.396 --> 00:14:02.428
And then we went live.
We went broader and broader from there.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/107-1
00:14:02.428 --> 00:14:06.278
And now we see this on the inpatient side.
We've extended this to our trainees.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/107-2
00:14:06.278 --> 00:14:09.983
And we think of it as a real success
story beyond just the kumbaya feel that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/107-3
00:14:09.983 --> 00:14:12.196
people are talking about with ambient
scribe.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-0
00:14:12.596 --> 00:14:15.364
Stephen,
I love how you use data to tell a story

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-1
00:14:15.364 --> 00:14:19.318
about not only the return on investment
in this ambient scribe thing,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-2
00:14:19.318 --> 00:14:21.916
but the surprises in what the data tells
you,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-3
00:14:21.916 --> 00:14:24.854
which is that perception is different
from reality,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-4
00:14:24.854 --> 00:14:27.565
but there is a lot of value in that
perception.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-5
00:14:27.565 --> 00:14:31.801
There's additional patient volume.
You did it slightly address and improve

2e4c995b-2d20-47b3-bc90-0856e33ff32f/108-0
00:14:27.636 --> 00:14:28.116
Tumba.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/109-6
00:14:31.801 --> 00:14:32.196
patient

2e4c995b-2d20-47b3-bc90-0856e33ff32f/110-0
00:14:32.236 --> 00:14:35.014
access,
but the patient experience and the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/110-1
00:14:35.014 --> 00:14:39.020
provider experience and the improved
probably retention rate,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/110-2
00:14:39.020 --> 00:14:43.801
but definitely kind of the sense of
engagement is something that could be

2e4c995b-2d20-47b3-bc90-0856e33ff32f/110-3
00:14:43.801 --> 00:14:47.677
very attractive for capturing market
share. Now, that said,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/110-4
00:14:47.677 --> 00:14:51.876
I would like to talk about data quality
in another kind of vein.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/111-0
00:14:51.996 --> 00:14:58.187
which is we spoke earlier in this episode
about improving the quality of data for

2e4c995b-2d20-47b3-bc90-0856e33ff32f/111-1
00:14:58.187 --> 00:15:02.490
AI tools so that it ingests quality data.
But of course,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/111-2
00:15:02.490 --> 00:15:08.453
Ambient Scribe is ingesting auditory data.
So I guess we may have to adapt the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/111-3
00:15:08.453 --> 00:15:12.756
question to, you know, how much,
what is the process for

2e4c995b-2d20-47b3-bc90-0856e33ff32f/112-0
00:15:12.836 --> 00:15:18.259
improving what processes do providers
need to go through to review the data

2e4c995b-2d20-47b3-bc90-0856e33ff32f/112-1
00:15:18.259 --> 00:15:24.037
output from Ambient Scribe and make sure
that it's accurate and that it's placed

2e4c995b-2d20-47b3-bc90-0856e33ff32f/112-2
00:15:24.037 --> 00:15:29.602
into discrete data elements that are
useful and incorporated into the EHR and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/112-3
00:15:29.602 --> 00:15:31.956
how do you avoid inaccurate data?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/114-0
00:15:32.116 --> 00:15:34.023
That could causeway problems down the
road,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/114-1
00:15:34.023 --> 00:15:36.276
especially when you're trying to do your
analytics.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/113-0
00:15:35.316 --> 00:15:35.556
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-0
00:15:36.916 --> 00:15:40.166
Yeah, and again,
you framed the question around the value,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-1
00:15:40.166 --> 00:15:44.517
and we started this conversation around
the value of having high quality data,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/115-0
00:15:44.036 --> 00:15:44.516
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-2
00:15:44.517 --> 00:15:48.978
obviously independent of the implications
for model building that we all want to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-3
00:15:48.978 --> 00:15:52.888
have the best possible data on our
patients that leads to better care.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/116-0
00:15:48.996 --> 00:15:49.476
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/117-0
00:15:52.356 --> 00:15:52.836
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-4
00:15:52.888 --> 00:15:56.523
You know, we started with a,
it can be a little bit heretical and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/118-5
00:15:56.523 --> 00:15:59.276
maybe a little provocative view that when
we look

2e4c995b-2d20-47b3-bc90-0856e33ff32f/120-0
00:15:59.356 --> 00:16:04.074
at this issue, whether around ambient,
scribe or otherwise, is understandably,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/120-1
00:16:04.074 --> 00:16:08.910
we all want to be sensitive and we always
smart about the risk of hallucinations

2e4c995b-2d20-47b3-bc90-0856e33ff32f/120-2
00:16:08.910 --> 00:16:12.373
and bias and whatnot in models and just
lack of validity.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/120-3
00:16:12.373 --> 00:16:17.270
But we also have to appreciate that our
starting point is not an ecosystem that's

2e4c995b-2d20-47b3-bc90-0856e33ff32f/120-4
00:16:17.270 --> 00:16:19.956
free of hallucinations,
that's free of bias.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-0
00:16:20.156 --> 00:16:23.339
or free of invalid data.
And so we look right now, you know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/119-0
00:16:22.196 --> 00:16:22.676
And then.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-1
00:16:23.339 --> 00:16:26.522
in terms of hallucinations,
we don't think of our clinicians

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-2
00:16:26.522 --> 00:16:29.236
hallucinating,
but we know that 10s of thousands of

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-3
00:16:29.236 --> 00:16:33.097
Americans die every year because of
misdiagnosis. That's settled science.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-4
00:16:33.097 --> 00:16:35.706
And while that's not technically a
hallucination,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/121-0
00:16:33.436 --> 00:16:33.956
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-5
00:16:35.706 --> 00:16:39.723
it's still smart people getting things
wrong or smart systems getting things

2e4c995b-2d20-47b3-bc90-0856e33ff32f/124-6
00:16:39.723 --> 00:16:40.036
wrong.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/122-0
00:16:39.996 --> 00:16:40.476
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-0
00:16:40.436 --> 00:16:42.751
Bias?
Anyone wants to argue that there's no

2e4c995b-2d20-47b3-bc90-0856e33ff32f/123-0
00:16:41.836 --> 00:16:41.916
The.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-1
00:16:42.751 --> 00:16:45.170
bias in the American health system right
now,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-2
00:16:45.170 --> 00:16:48.694
despite the best intentions of clinicians,
leaders, and otherwise,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/125-0
00:16:46.956 --> 00:16:47.316
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-3
00:16:48.694 --> 00:16:52.007
is deluding themselves.
So we're starting from a system that's

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-4
00:16:52.007 --> 00:16:55.688
already brokering in, at times,
invalid data bias and hallucinations.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-5
00:16:55.688 --> 00:16:59.528
That's not to lower our standards,
but it's also to understand that this

2e4c995b-2d20-47b3-bc90-0856e33ff32f/126-6
00:16:59.528 --> 00:17:00.316
presents a huge

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-0
00:17:00.396 --> 00:17:03.754
huge opportunity for us to actually look
at ourselves and say,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-1
00:17:03.754 --> 00:17:06.899
how are we doing about this?
How are we thinking about it?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/127-0
00:17:06.596 --> 00:17:06.756
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-2
00:17:06.899 --> 00:17:10.897
So back to your original question,
is we do have, there's the expectation,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-3
00:17:10.897 --> 00:17:14.948
and it's part of the process and the
workflow around the ambient squad that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-4
00:17:14.948 --> 00:17:18.786
the notes are being reviewed.
Are they being reviewed more or less than

2e4c995b-2d20-47b3-bc90-0856e33ff32f/128-0
00:17:15.636 --> 00:17:15.956
Hmm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/130-5
00:17:18.786 --> 00:17:22.836
what was historically being cut and
pasted from notes and between patients?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-0
00:17:23.196 --> 00:17:26.608
That's a little bit harder to get at.
We're trying to dig in and understand

2e4c995b-2d20-47b3-bc90-0856e33ff32f/129-0
00:17:24.916 --> 00:17:25.076
If

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-1
00:17:26.608 --> 00:17:30.245
that a little bit more because if we're
going to look at the quality of the data

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-2
00:17:30.245 --> 00:17:33.836
and the work that we're doing right now,
it's important to look at what was the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/131-0
00:17:30.556 --> 00:17:30.836
Uh-huh.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-3
00:17:33.836 --> 00:17:36.261
previous model before we reject anything
out of hand.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/132-0
00:17:35.796 --> 00:17:36.276
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-4
00:17:36.261 --> 00:17:39.628
But I think that human in the loop right
now becomes very, very important.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/133-5
00:17:39.628 --> 00:17:42.276
But even as we go forward,
we're going to see that evolve.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-0
00:17:42.316 --> 00:17:46.415
because we're going to see the models,
especially as they're starting to build

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-1
00:17:46.415 --> 00:17:48.905
on in,
and our vendor has functionality so that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-2
00:17:48.905 --> 00:17:52.173
you're building on previous experiences
with the same patient.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-3
00:17:52.173 --> 00:17:56.479
Each episode is not treated independently.
It's going to become better and smarter

2e4c995b-2d20-47b3-bc90-0856e33ff32f/134-0
00:17:54.676 --> 00:17:55.156
Mhm.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-4
00:17:56.479 --> 00:17:59.643
around that. So yes,
so we have the individual providers are

2e4c995b-2d20-47b3-bc90-0856e33ff32f/135-5
00:17:59.643 --> 00:18:00.836
looking at it and that.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/136-0
00:18:01.036 --> 00:18:03.293
And we have systems built in for people
to report,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/136-1
00:18:03.293 --> 00:18:06.701
both through the actual vendor platform
and then through our risk and safety

2e4c995b-2d20-47b3-bc90-0856e33ff32f/136-2
00:18:06.701 --> 00:18:08.958
platform,
where they're seeing departures from the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/136-3
00:18:08.958 --> 00:18:12.276
expectations in terms of the quality of
the data that are being generated.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-0
00:18:12.916 --> 00:18:15.078
So Stephen,
we are approaching the end of this

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-1
00:18:15.078 --> 00:18:17.745
podcast episode.
I'd like to remind you that the topic we

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-2
00:18:17.745 --> 00:18:21.332
came to discuss today is the importance
of implementation and adoption in the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-3
00:18:21.332 --> 00:18:24.965
application of digital health and AI to
improve safety and quality. And again,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-4
00:18:24.965 --> 00:18:27.678
there's a million directions we could
have gone with that.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/137-0
00:18:26.916 --> 00:18:27.396
There are.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-5
00:18:27.678 --> 00:18:30.529
We could have focused,
we focused a bit on implementation and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/138-6
00:18:30.529 --> 00:18:32.276
adoption and the implications of that.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-0
00:18:32.676 --> 00:18:36.865
Digital health can be so many more things
than just the ambient listening scribe.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-1
00:18:36.865 --> 00:18:39.675
And safety and quality, again,
there are many options.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-2
00:18:39.675 --> 00:18:42.178
There's industrial Internet of Things
solutions.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-3
00:18:42.178 --> 00:18:45.601
There's many different ways you can take
this. But let me ask you,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/139-0
00:18:43.956 --> 00:18:44.716
Absolutely.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-4
00:18:45.601 --> 00:18:49.636
as we are wrapping up this episode,
which direction would you like to take it?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-5
00:18:49.636 --> 00:18:53.570
Is there any kind of parting words of
advice to your peers across the United

2e4c995b-2d20-47b3-bc90-0856e33ff32f/140-0
00:18:52.276 --> 00:18:52.516
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/142-6
00:18:53.570 --> 00:18:53.876
States

2e4c995b-2d20-47b3-bc90-0856e33ff32f/141-0
00:18:53.716 --> 00:18:54.116
Sam.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-0
00:18:54.196 --> 00:18:58.053
who are in similar positions,
are similarly needing to evaluate new AI

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-1
00:18:58.053 --> 00:19:02.019
solutions, or speaking to vendors,
or trying to ensure there's the right

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-2
00:19:02.019 --> 00:19:05.170
quality of data.
They want to improve patient experience,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-3
00:19:05.170 --> 00:19:07.995
provider retention,
burnout is an issue everywhere.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-4
00:19:07.995 --> 00:19:12.123
The same problems are almost universal.
The solutions is a smorgasbord that

2e4c995b-2d20-47b3-bc90-0856e33ff32f/143-5
00:19:12.123 --> 00:19:14.676
different variations are available
everywhere.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/144-0
00:19:14.956 --> 00:19:17.556
What words of advice do you have to your
peers?

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-0
00:19:18.356 --> 00:19:21.908
I think you outlined well,
and I'll answer in 30 seconds or less,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-1
00:19:21.908 --> 00:19:24.492
right?
But you outlined well the notion of just

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-2
00:19:24.492 --> 00:19:28.259
how broad the issues are and the
implications. And that's why I find,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-3
00:19:28.259 --> 00:19:32.242
and we found ourselves drawn to the
horizontal interventions, if we will,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-4
00:19:32.242 --> 00:19:35.901
that really affect all of these.
Whether you're talking about a new

2e4c995b-2d20-47b3-bc90-0856e33ff32f/145-5
00:19:35.901 --> 00:19:39.076
ambient scribe,
you're talking about a revenue cycle tool,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/147-0
00:19:39.356 --> 00:19:44.184
you're talking about a diagnostic aid.
In each of those cases, and as well,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/147-1
00:19:44.184 --> 00:19:49.011
including existing cases, scorecards,
dashboards, pop-ups, and information,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/146-0
00:19:48.116 --> 00:19:48.316
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/147-2
00:19:49.011 --> 00:19:54.028
decision support tools that we're using,
is the last mile is critical, Jordan.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/147-3
00:19:54.028 --> 00:19:59.236
The idea of we're generating and creating
data, those data need to be acted upon.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/148-0
00:20:05.796 --> 00:20:05.916
Yeah.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/149-0
00:20:17.716 --> 00:20:17.756
A

2e4c995b-2d20-47b3-bc90-0856e33ff32f/150-0
00:20:17.836 --> 00:20:21.301
and turn that into practice to recognize
that as useful,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/150-1
00:20:21.301 --> 00:20:25.677
actionable information is really key.
And we have not done enough as an

2e4c995b-2d20-47b3-bc90-0856e33ff32f/150-2
00:20:25.677 --> 00:20:29.992
industry to incorporate everything from,
and this goes well beyond UX,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/150-3
00:20:29.992 --> 00:20:32.849
human-centered design,
implementation science,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/150-4
00:20:32.849 --> 00:20:36.556
it literally is a science,
to understand how we can take the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-0
00:20:36.996 --> 00:20:40.935
technical output, the analytic output,
and turn it into practice to actually

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-1
00:20:40.935 --> 00:20:43.851
change behavior.
That's where the difference is going to

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-2
00:20:43.851 --> 00:20:46.204
be made.
Because if you show me a great AI or

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-3
00:20:46.204 --> 00:20:48.966
digital tool,
whether it's coming from the commercial

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-4
00:20:48.966 --> 00:20:53.058
world, from one of our scientists here,
where the drop off in value in terms of

2e4c995b-2d20-47b3-bc90-0856e33ff32f/152-5
00:20:53.058 --> 00:20:56.076
quality, safety,
and economics and growth are going to be,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-0
00:20:56.316 --> 00:21:00.320
is going to be how it's deployed and how
we actually extract that value in the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-1
00:21:00.320 --> 00:21:04.274
last mile from when the output comes from
the model to when practice actually

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-2
00:21:04.274 --> 00:21:06.707
changes.
And so focusing on practice change and

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-3
00:21:06.707 --> 00:21:09.190
implementation is absolutely the critical
piece.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-4
00:21:09.190 --> 00:21:12.890
The model is going to keep getting better.
If you and I do nothing else,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-5
00:21:12.890 --> 00:21:16.640
the people around us are going to keep
building better and better models.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-6
00:21:16.640 --> 00:21:20.543
What's on all of us and the people who
are listening is health system weave,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/153-7
00:21:20.543 --> 00:21:20.796
those

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-0
00:21:20.836 --> 00:21:23.129
for health system leaders is to dig in
and say,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-1
00:21:23.129 --> 00:21:26.567
how are we going to make sure that our
teams have access to those data,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-2
00:21:26.567 --> 00:21:29.480
understand those data,
and then are affecting their practice

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-3
00:21:29.480 --> 00:21:32.250
with those data,
whether at the bedside as a clinician or

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-4
00:21:32.250 --> 00:21:35.259
working in another part of the
organization. So that, I think,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-5
00:21:35.259 --> 00:21:38.936
is going to be a real goldmine for all of
us, with the benefit showing, yes,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/154-6
00:21:38.936 --> 00:21:39.556
economically,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/155-0
00:21:39.636 --> 00:21:41.652
But in terms of quality and safety,
for sure,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/155-1
00:21:41.652 --> 00:21:44.236
doing the right thing needs to be the
easiest thing to do.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-0
00:21:44.796 --> 00:21:48.134
If I could summarize, Stephen,
I think what you're telling our listeners

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-1
00:21:48.134 --> 00:21:51.379
is that information needs to not only be
high quality, but actionable.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-2
00:21:51.379 --> 00:21:54.671
You need to understand exactly why it is
you're implementing something.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-3
00:21:54.671 --> 00:21:58.282
And it can't be because everybody else is
doing it. It's the hottest, coolest,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-4
00:21:58.282 --> 00:22:00.568
newest thing.
You need to understand what are the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-5
00:22:00.568 --> 00:22:02.808
business drivers,
what are the clinical drivers,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/156-6
00:22:02.808 --> 00:22:04.316
what are the operational drivers,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/159-0
00:22:04.636 --> 00:22:08.311
of your organization,
and then how can these tools, you know,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/159-1
00:22:08.311 --> 00:22:13.051
it almost seems too simplistic to state,
but how can the tools help you achieve

2e4c995b-2d20-47b3-bc90-0856e33ff32f/159-2
00:22:13.051 --> 00:22:16.014
those aims?
And even if it's the best tool in the

2e4c995b-2d20-47b3-bc90-0856e33ff32f/159-3
00:22:16.014 --> 00:22:19.036
world that could theoretically achieve
those aims,

2e4c995b-2d20-47b3-bc90-0856e33ff32f/159-4
00:22:19.036 --> 00:22:23.836
if it's not driving human behavior change,
then it's not delivering the ROI. So.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/158-0
00:22:23.596 --> 00:22:24.316
You got it.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/160-0
00:22:24.076 --> 00:22:26.585
Steven,
I'd like to thank you so much for joining

2e4c995b-2d20-47b3-bc90-0856e33ff32f/160-1
00:22:26.585 --> 00:22:27.036
us today.

2e4c995b-2d20-47b3-bc90-0856e33ff32f/161-0
00:22:27.596 --> 00:22:28.956
Thanks, Jordan. I really appreciate it.