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Data Podcast We are here today with
Doctor Sandra Scott,

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the CEO of One Brooklyn Health,
and Ron Goldman,

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the Chief Information Officer of One
Brooklyn Health. For those who don't know,

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One Brooklyn Health is a safety net
health system based in Brooklyn,

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NY with 581 providers spread across three
hospitals,

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community based practices and long term.

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Term care facilities. Sandy, Ron,
thank you for joining us.

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Glad to have you.

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Thank you for having us.

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So the topic of today's conversation is
the intersection of data integrity and

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remote patient monitoring to manage
population health. I know that there,

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Doctor Scott,
there's a a program at One Brooklyn

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Health to ensure data integrity today.

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Some of that is manual processes to
encourage intake personnel to be precise

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with data entry,
and I know there are other efforts.

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So I'd like to ask you just right off the
bat,

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how is 1 Brooklyn Health ensuring data
integrity today?

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Well,
I think one of the most important things

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is to have your frontline staff recognize
that they are responsible for data

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integrity.
And I think a lot of time those who are

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responsible for registration both in the
ambulatory setting,

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the emergency department setting,
don't necessarily embrace their role.

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With regards to data integrity.
And so we're doing two things. One,

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Mm-hmm.

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there's the education that what they
enter on the front end of the visit has a

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huge impact, you know,
with data for the patient care and then

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also at the at the back end when we're
actually trying to drop claims,

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et cetera and the second.

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Part is we are a Epic shop,
so we implemented Epic throughout the

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entire system in 2021 and there are lots
of reports and data available in Epic to

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tell you about the integrity of the data
that's entered, but I don't know.

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If you want to chime in a little bit on
that one.

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Right.
So while intake and clinical personnel

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are sort of responsible, to Sandy's point,
for the accuracy of the data entered into

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the EMR,
I would say from an IT perspective,

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the department plays a critical role in
maintaining.

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The structural integrity of the data once
in the system. So specifically,

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you know we have controlled vocabularies
that we leverage such as SNOMED and LOINC

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to minimize variation.
There is validation logic.

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And error checking in the form of
required fields, format options, etcetera.

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We also have role-based security and
access controls.

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We prevent unauthorized or inappropriate
data edits.

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I would say change management protocols
are a big one in the form of, you know,

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we have governance or IT forms,
committees,

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right and and governance structures that
sort of, you know,

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oversee what gets changed in the system.
We also have audit trails, right?

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Right.
So from monitoring improper use or or

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errors in inputs.
So I would say from from an IT

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perspective,
we really partner with our clinical and

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operational leadership to make sure that
we flag as much as possible sort of the.

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High risk of any high risk data entry
issues.

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I appreciate that, Ron.
And the reason I started off with data

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integrity is I'd like to transition into
the remote patient monitoring

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conversation from a data perspective.
Many of our listeners across the United

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States are currently engaged in finding
ways to provide care in the community,

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whether it be hospital.

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Home or telemedicine or other remote
patient monitoring programs.

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Now in January 2024,
One Brooklyn Health announced A

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partnership between One Brooklyn Health,
Cane Health and Cyber Med Health,

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announcing that there would be access for
patients around the clock care with

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wearable devices to monitor vitals from
the comfort of their home.

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With no out of pocket cost to patients.
So a question on this,

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a number of questions actually.
What kind of alerts or messages are

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triggered for the clinical care team if
there's an abnormal pattern on the

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wearable device?

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So there's two options.
In some circumstances, for example,

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with our diabetes population,
we have staff that are dedicated to

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monitoring the data for those fragile
diabetics so that when they notice,

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for example,
the blood sugar is is creeping up and

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Yeah.

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moving in the wrong.

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Direction they actually reach out to the
patient and help to mitigate worsening of

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their condition.
So in really high risk situations we have

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Oh.

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people who are assigned to monitor the
data as it comes in and other situations

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for example like with monitoring weight,
so maybe someone with.

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Fail.

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Who they're weighing themselves once a
day.

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You know that that data doesn't require
the same intensity of monitoring in in

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most circumstances,
and so a provider could review that data

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once a week or every three or four days.
So it depends on the severity of illness,

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the condition, and how.

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You know how how closely the data needs
to be monitored.

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And Ron, if you could follow up on that,
how I understand from Sandy that the

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staff are monitoring these devices,
but are the devices transmitting data

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through your enterprise integration
engine? Are there FHIR or API calls?

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Is there a FHIR repository?
How are you accomplishing real time?

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Time data monitoring for those patient
populations and getting alerts for those

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aberrant patients who are experiencing
adverse events as opposed to not being

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alerted to those who are just stable and
healthy.

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Right.
So at this time there is currently no

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integration into the EMR,
but I believe the physicians or the

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clinicians are monitoring it within the
system itself, right.

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So as far as what protocols that they use,
those can be found within the system.

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And we say the system, do you mean epic?

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No,
not not in Epic through Kane and and

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OK, OK, got it. Clean and cyber-med. OK,
so it's external applications external to

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Good.

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those correct, correct.

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the EHR, correct? Got it.
And so does your current integration

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Correct.

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engine support data ingestion from your
RPM program?

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Into the EHR or care management,
I'm hearing you say not into the EHR.

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Does it integrate into the care
management system or any other system or

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they just live in kind of in different
silos and you have to have the care

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managers kind of active proactively reach
out when they see a patient?

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Who? Who needs care?

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Correct. Yeah.
So they have to monitor it in the

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respective system.
So that doesn't mean that the the the

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capability exists in Epic.
We're just not there yet.

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And within the system,
are there automated text messages or

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direct messages or emails or any kind of
communication within a patient portal in

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order to communicate with the patient
that they need to do something?

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Or is it more of like a a manual process?
I ask because our listeners are trying to

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implement similar programs.

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Right. So ours is a manual process,
but Ron,

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you might be able to speak to what's
available with the with the software

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that's actually able to integrate with
with Epic.

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OK.

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Mhm.

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Right. So once configured,
obviously we'd be able to leverage you

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OK.

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know HO7 and and fire interfaces etcetera.
Those can be mapped very easily into our

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Mhm.

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Epic EMR is so so that way the data can
be viewed.

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You know,
we can trend the data and insert that

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data into clinical workloads without
users having to leave the EMR. But again,

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Mhm.

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that's a step that we have not embarked
on quite yet and something that we're

2f45a733-8ad6-4ce3-be04-c394ee406578/1158-0
00:08:29.459 --> 00:08:30.179
Done.

2f45a733-8ad6-4ce3-be04-c394ee406578/1168-3
00:08:31.183 --> 00:08:32.019
looking at.

2f45a733-8ad6-4ce3-be04-c394ee406578/1191-0
00:08:32.739 --> 00:08:38.016
What kind of thresholds or abnormal
values would you want to automatically

2f45a733-8ad6-4ce3-be04-c394ee406578/1191-1
00:08:38.016 --> 00:08:42.379
alert a care team about that is
monitoring cane or cyber Med?

2f45a733-8ad6-4ce3-be04-c394ee406578/1234-0
00:08:42.939 --> 00:08:48.838
So again, it would depend on a condition.
I gave you an example of blood sugar for

2f45a733-8ad6-4ce3-be04-c394ee406578/1211-0
00:08:46.619 --> 00:08:50.139
Right. Heart failure.

2f45a733-8ad6-4ce3-be04-c394ee406578/1234-1
00:08:48.838 --> 00:08:52.462
diabetics.
There's blood pressure readings, right?

2f45a733-8ad6-4ce3-be04-c394ee406578/1234-2
00:08:52.462 --> 00:08:57.011
There's weight readings.
I think those are the most common ones

2f45a733-8ad6-4ce3-be04-c394ee406578/1228-0
00:08:56.459 --> 00:08:58.059
Mhm, mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1234-3
00:08:57.011 --> 00:08:58.859
that that we use, I think.

2f45a733-8ad6-4ce3-be04-c394ee406578/1278-0
00:08:58.939 --> 00:09:03.552
Blood sugar, blood pressure, I mean,
your weight shouldn't change that much

2f45a733-8ad6-4ce3-be04-c394ee406578/1278-1
00:09:03.552 --> 00:09:08.104
from day-to-day other than a little bit
of water weight. And so, you know,

2f45a733-8ad6-4ce3-be04-c394ee406578/1249-0
00:09:04.059 --> 00:09:06.219
Mm-hmm. Yeah.

2f45a733-8ad6-4ce3-be04-c394ee406578/1278-2
00:09:08.104 --> 00:09:12.535
it would depend on the metric that you're
actually following. But again,

2f45a733-8ad6-4ce3-be04-c394ee406578/1278-3
00:09:12.535 --> 00:09:17.512
the more critical ones I think would be
blood sugar followed by followed by blood

2f45a733-8ad6-4ce3-be04-c394ee406578/1278-4
00:09:17.512 --> 00:09:18.059
pressure.

2f45a733-8ad6-4ce3-be04-c394ee406578/1308-0
00:09:18.059 --> 00:09:21.225
Got it.
And so I think our listeners would love

2f45a733-8ad6-4ce3-be04-c394ee406578/1308-1
00:09:21.225 --> 00:09:25.711
to hear about the current existing
escalation workflow for the care

2f45a733-8ad6-4ce3-be04-c394ee406578/1308-2
00:09:25.711 --> 00:09:30.526
management team that's in place today
once there is an alert about blood

2f45a733-8ad6-4ce3-be04-c394ee406578/1308-3
00:09:30.526 --> 00:09:33.099
pressure, blood, blood sugar or weight.

2f45a733-8ad6-4ce3-be04-c394ee406578/1348-0
00:09:34.059 --> 00:09:36.963
Right.
So on our on our Diabetes Center of

2f45a733-8ad6-4ce3-be04-c394ee406578/1348-1
00:09:36.963 --> 00:09:40.610
Excellence,
we actually have nurse practitioners that

2f45a733-8ad6-4ce3-be04-c394ee406578/1348-2
00:09:40.610 --> 00:09:45.608
are specifically trained, you know,
have specific training to monitor the

2f45a733-8ad6-4ce3-be04-c394ee406578/1348-3
00:09:45.608 --> 00:09:48.917
blood sugar,
manage the equipment and be able to

2f45a733-8ad6-4ce3-be04-c394ee406578/1348-4
00:09:48.917 --> 00:09:51.619
provide timely feedback to the patients.

2f45a733-8ad6-4ce3-be04-c394ee406578/1346-0
00:09:51.419 --> 00:09:52.459
Mm-hmm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1354-0
00:09:56.579 --> 00:09:56.699
Right.

2f45a733-8ad6-4ce3-be04-c394ee406578/1366-0
00:10:00.939 --> 00:10:02.019
Mhm, mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1372-0
00:10:03.499 --> 00:10:03.619
OK.

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-0
00:10:03.699 --> 00:10:07.228
Center of Excellence can escalate to a
endocrinologist,

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-1
00:10:07.228 --> 00:10:11.765
but she's specifically trained to handle
most of the issues that arise.

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-2
00:10:11.765 --> 00:10:16.429
So that's a circumstance where we
actually have a provider monitoring the

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-3
00:10:16.429 --> 00:10:19.202
data.
The other circumstances we have maybe

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-4
00:10:19.202 --> 00:10:22.542
like a care manager,
not a not an NP or an MD that's

2f45a733-8ad6-4ce3-be04-c394ee406578/1430-5
00:10:22.542 --> 00:10:23.299
necessarily.

2f45a733-8ad6-4ce3-be04-c394ee406578/1446-0
00:10:23.659 --> 00:10:26.315
Early monitoring those.
In those circumstances,

2f45a733-8ad6-4ce3-be04-c394ee406578/1421-0
00:10:24.819 --> 00:10:25.179
M.

2f45a733-8ad6-4ce3-be04-c394ee406578/1446-1
00:10:26.315 --> 00:10:28.419
there's an escalation to the provider.

2f45a733-8ad6-4ce3-be04-c394ee406578/1484-0
00:10:27.219 --> 00:10:30.671
Got it.
And is there an opportunity for patients

2f45a733-8ad6-4ce3-be04-c394ee406578/1484-1
00:10:30.671 --> 00:10:36.519
to view their own data in a digital front
door or any kind of patient portal or is

2f45a733-8ad6-4ce3-be04-c394ee406578/1484-2
00:10:36.519 --> 00:10:41.451
this data mostly for clinical care
providers and case managers at One

2f45a733-8ad6-4ce3-be04-c394ee406578/1484-3
00:10:41.451 --> 00:10:42.579
Brooklyn Health?

2f45a733-8ad6-4ce3-be04-c394ee406578/1497-0
00:10:43.699 --> 00:10:47.866
Clinical care providers and case managers,
unless you Ron,

2f45a733-8ad6-4ce3-be04-c394ee406578/1497-1
00:10:47.866 --> 00:10:50.339
you have something to to add there.

2f45a733-8ad6-4ce3-be04-c394ee406578/1495-0
00:10:49.739 --> 00:10:51.379
I think that's accurate, yeah.

2f45a733-8ad6-4ce3-be04-c394ee406578/1541-0
00:10:51.179 --> 00:10:54.867
Yeah. And has there,
I guess let's take a step back for a

2f45a733-8ad6-4ce3-be04-c394ee406578/1541-1
00:10:54.867 --> 00:10:58.047
second.
What was the impetus for rolling out this

2f45a733-8ad6-4ce3-be04-c394ee406578/1541-2
00:10:58.047 --> 00:11:02.944
remote patient monitoring program?
There's many different options across the

2f45a733-8ad6-4ce3-be04-c394ee406578/1541-3
00:11:02.944 --> 00:11:05.997
country for different health systems to
pursue.

2f45a733-8ad6-4ce3-be04-c394ee406578/1541-4
00:11:05.997 --> 00:11:08.859
Why did you choose this option at this
time?

2f45a733-8ad6-4ce3-be04-c394ee406578/1555-0
00:11:11.219 --> 00:11:15.859
So you mean choose this particular vendor
or or the method that we have set up?

2f45a733-8ad6-4ce3-be04-c394ee406578/1570-0
00:11:13.339 --> 00:11:16.152
No,
just generally a remote patient

2f45a733-8ad6-4ce3-be04-c394ee406578/1570-1
00:11:16.152 --> 00:11:21.779
monitoring program with manual workflows
as you've described it so far.

2f45a733-8ad6-4ce3-be04-c394ee406578/1620-0
00:11:21.339 --> 00:11:26.182
Sure. So for number one,
it was our first kind of entry into this,

2f45a733-8ad6-4ce3-be04-c394ee406578/1620-1
00:11:26.182 --> 00:11:30.882
this type of workflow.
So the education and adoption on the part

2f45a733-8ad6-4ce3-be04-c394ee406578/1620-2
00:11:30.882 --> 00:11:34.930
of the providers and the patients was
really, you know,

2f45a733-8ad6-4ce3-be04-c394ee406578/1620-3
00:11:34.930 --> 00:11:40.859
the the heavy lift before we went into a
more complex technological solution and.

2f45a733-8ad6-4ce3-be04-c394ee406578/1609-0
00:11:40.299 --> 00:11:40.339
I.

2f45a733-8ad6-4ce3-be04-c394ee406578/1674-0
00:11:41.019 --> 00:11:44.287
You know,
I think you and I spoke about this,

2f45a733-8ad6-4ce3-be04-c394ee406578/1674-1
00:11:44.287 --> 00:11:50.113
but the highest cost of care in health
care are patients with chronic conditions.

2f45a733-8ad6-4ce3-be04-c394ee406578/1674-2
00:11:50.113 --> 00:11:55.583
And so chronic conditions are the
diabetes, hypertension, emphysema, asthma,

2f45a733-8ad6-4ce3-be04-c394ee406578/1639-0
00:11:51.139 --> 00:11:51.699
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1674-3
00:11:55.583 --> 00:12:00.699
those are the patients that have the
highest cost of care. So when you.

2f45a733-8ad6-4ce3-be04-c394ee406578/1654-0
00:11:55.779 --> 00:11:56.419
Right.

2f45a733-8ad6-4ce3-be04-c394ee406578/1715-0
00:12:00.779 --> 00:12:05.841
Think about population health, right?
And you think about how does a health

2f45a733-8ad6-4ce3-be04-c394ee406578/1668-0
00:12:02.659 --> 00:12:03.259
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1715-1
00:12:05.841 --> 00:12:09.504
system reduce the total cost of care for
a population?

2f45a733-8ad6-4ce3-be04-c394ee406578/1715-2
00:12:09.504 --> 00:12:14.633
It's managing those patients with chronic
conditions and we know that remote

2f45a733-8ad6-4ce3-be04-c394ee406578/1715-3
00:12:14.633 --> 00:12:15.899
patient monitoring.

2f45a733-8ad6-4ce3-be04-c394ee406578/1704-0
00:12:15.579 --> 00:12:16.139
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1772-0
00:12:15.899 --> 00:12:21.561
If done properly and you have the buy in
from the patient to manage the devices in

2f45a733-8ad6-4ce3-be04-c394ee406578/1772-1
00:12:21.561 --> 00:12:26.678
the home to use the devices and you have
the workflows and buy in from the

2f45a733-8ad6-4ce3-be04-c394ee406578/1729-0
00:12:22.339 --> 00:12:22.579
Hmm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1772-2
00:12:26.678 --> 00:12:30.363
providers,
you can actually prevent hospitalizations,

2f45a733-8ad6-4ce3-be04-c394ee406578/1772-3
00:12:30.363 --> 00:12:35.139
have better disease management and
therefore the cost of care, right?

2f45a733-8ad6-4ce3-be04-c394ee406578/1754-0
00:12:34.739 --> 00:12:34.899
Yeah.

2f45a733-8ad6-4ce3-be04-c394ee406578/1830-0
00:12:35.819 --> 00:12:40.794
The cost that it the healthcare costs for
that individual actually goes down.

2f45a733-8ad6-4ce3-be04-c394ee406578/1785-0
00:12:40.259 --> 00:12:41.059
It's.

2f45a733-8ad6-4ce3-be04-c394ee406578/1830-1
00:12:40.794 --> 00:12:45.451
And you can imagine if you take a
population of patients with high blood

2f45a733-8ad6-4ce3-be04-c394ee406578/1790-0
00:12:43.339 --> 00:12:43.459
OK.

2f45a733-8ad6-4ce3-be04-c394ee406578/1830-2
00:12:45.451 --> 00:12:50.172
pressure and you and you work with them
with the technology to ping them,

2f45a733-8ad6-4ce3-be04-c394ee406578/1796-0
00:12:45.819 --> 00:12:46.299
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1830-3
00:12:50.172 --> 00:12:55.339
make sure they're compliant with their
medications, their diet, they understand.

2f45a733-8ad6-4ce3-be04-c394ee406578/1873-0
00:12:55.419 --> 00:13:00.282
Their blood pressure readings and they
stay out of the emergency department or

2f45a733-8ad6-4ce3-be04-c394ee406578/1873-1
00:13:00.282 --> 00:13:04.591
stay out of the hospital and that drives
down the total cost of care.

2f45a733-8ad6-4ce3-be04-c394ee406578/1873-2
00:13:04.591 --> 00:13:09.085
So that's really I think the the, the,
the impetus is better population,

2f45a733-8ad6-4ce3-be04-c394ee406578/1857-0
00:13:07.179 --> 00:13:07.659
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1873-3
00:13:09.085 --> 00:13:12.779
health management, healthier people,
lower cost of of care.

2f45a733-8ad6-4ce3-be04-c394ee406578/1914-0
00:13:14.019 --> 00:13:18.999
So when you're managing population health,
analytics plays a huge role in figuring

2f45a733-8ad6-4ce3-be04-c394ee406578/1914-1
00:13:18.999 --> 00:13:23.139
out where you are and where you're going,
how effective you've been.

2f45a733-8ad6-4ce3-be04-c394ee406578/1914-2
00:13:23.139 --> 00:13:27.819
This remote patient monitoring program
has now been live for 18 months at One

2f45a733-8ad6-4ce3-be04-c394ee406578/1914-3
00:13:27.819 --> 00:13:28.779
Brooklyn Health.

2f45a733-8ad6-4ce3-be04-c394ee406578/1930-0
00:13:29.299 --> 00:13:33.254
Has there been any evaluation,
any analytics reports have been generated

2f45a733-8ad6-4ce3-be04-c394ee406578/1930-1
00:13:33.254 --> 00:13:37.425
to demonstrate financial ROI or improved
health outcomes as a result of this

2f45a733-8ad6-4ce3-be04-c394ee406578/1930-2
00:13:37.425 --> 00:13:37.859
program?

2f45a733-8ad6-4ce3-be04-c394ee406578/1982-0
00:13:38.179 --> 00:13:42.750
So both in heart failure,
I I think we just we were just notified.

2f45a733-8ad6-4ce3-be04-c394ee406578/1937-0
00:13:41.059 --> 00:13:41.539
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/1982-1
00:13:42.750 --> 00:13:48.004
We are I think about the get with the
guidelines heart failure award for one

2f45a733-8ad6-4ce3-be04-c394ee406578/1982-2
00:13:48.004 --> 00:13:53.532
Brooklyn Health. But with heart failure,
much better disease management for that

2f45a733-8ad6-4ce3-be04-c394ee406578/1982-3
00:13:53.532 --> 00:13:57.899
population, good outcomes and like I said,
we even received an.

2f45a733-8ad6-4ce3-be04-c394ee406578/2034-0
00:13:57.979 --> 00:14:02.184
Award for that and then our Diabetes
Center of Excellence.

2f45a733-8ad6-4ce3-be04-c394ee406578/2034-1
00:14:02.184 --> 00:14:07.315
We actually have patients who would not
traditionally have been offered

2f45a733-8ad6-4ce3-be04-c394ee406578/1987-0
00:14:03.299 --> 00:14:03.339
I.

2f45a733-8ad6-4ce3-be04-c394ee406578/2034-2
00:14:07.315 --> 00:14:11.520
technology that you know,
might be someone who's homeless,

2f45a733-8ad6-4ce3-be04-c394ee406578/2034-3
00:14:11.520 --> 00:14:16.866
unemployed, might have, you know,
not been considered a good a good client

2f45a733-8ad6-4ce3-be04-c394ee406578/2021-0
00:14:16.619 --> 00:14:17.139
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2034-4
00:14:16.866 --> 00:14:17.579
for these.

2f45a733-8ad6-4ce3-be04-c394ee406578/2081-0
00:14:17.659 --> 00:14:23.092
Of technology and they're doing extremely
well, right. So with the right education,

2f45a733-8ad6-4ce3-be04-c394ee406578/2081-1
00:14:23.092 --> 00:14:27.103
the right navigators, the right providers,
the right support,

2f45a733-8ad6-4ce3-be04-c394ee406578/2081-2
00:14:27.103 --> 00:14:32.213
even populations of one would think are
traditionally not capable of complying

2f45a733-8ad6-4ce3-be04-c394ee406578/2081-3
00:14:32.213 --> 00:14:37.259
with the complexity of of remote patient
monitoring, they're doing extremely.

2f45a733-8ad6-4ce3-be04-c394ee406578/2095-0
00:14:37.259 --> 00:14:39.812
Well,
and and both of those populations say for

2f45a733-8ad6-4ce3-be04-c394ee406578/2095-1
00:14:39.812 --> 00:14:42.259
sure we've had,
we've had excellent outcomes.

2f45a733-8ad6-4ce3-be04-c394ee406578/2137-0
00:14:43.899 --> 00:14:48.259
Just from an operational point of view,
you're distributing physical devices and

2f45a733-8ad6-4ce3-be04-c394ee406578/2137-1
00:14:48.259 --> 00:14:51.166
they sometimes break,
especially if you're a homeless

2f45a733-8ad6-4ce3-be04-c394ee406578/2137-2
00:14:51.166 --> 00:14:53.750
population.
Are you cycling through and getting

2f45a733-8ad6-4ce3-be04-c394ee406578/2137-3
00:14:53.750 --> 00:14:56.819
alerts if a feed from one of the
wearables goes offline?

2f45a733-8ad6-4ce3-be04-c394ee406578/2175-0
00:14:56.699 --> 00:14:59.489
Absolutely, absolutely, yes.
And like I said,

2f45a733-8ad6-4ce3-be04-c394ee406578/2139-0
00:14:59.299 --> 00:14:59.459
Um.

2f45a733-8ad6-4ce3-be04-c394ee406578/2175-1
00:14:59.489 --> 00:15:03.675
you would imagine that it would be a
difficult population to manage,

2f45a733-8ad6-4ce3-be04-c394ee406578/2175-2
00:15:03.675 --> 00:15:07.679
but they're doing quite well,
particularly actually in both heart

2f45a733-8ad6-4ce3-be04-c394ee406578/2175-3
00:15:07.679 --> 00:15:11.259
failure and and diabetes.
They're doing quite, quite well.

2f45a733-8ad6-4ce3-be04-c394ee406578/2215-0
00:15:11.459 --> 00:15:15.633
Have providers requested integration of
this data into the EHR?

2f45a733-8ad6-4ce3-be04-c394ee406578/2215-1
00:15:15.633 --> 00:15:19.090
Are they and are they is is this working
in concert?

2f45a733-8ad6-4ce3-be04-c394ee406578/2183-0
00:15:16.499 --> 00:15:17.219
Oh.

2f45a733-8ad6-4ce3-be04-c394ee406578/2215-2
00:15:19.090 --> 00:15:24.178
I guess how well are the Epics best
practice advisors meeting your clinicians

2f45a733-8ad6-4ce3-be04-c394ee406578/2215-3
00:15:24.178 --> 00:15:27.179
need for real-time clinical decision
support?

2f45a733-8ad6-4ce3-be04-c394ee406578/2227-0
00:15:27.179 --> 00:15:30.307
And would it be? I mean,
is there a request for this to be

2f45a733-8ad6-4ce3-be04-c394ee406578/2227-1
00:15:30.307 --> 00:15:31.739
integrated to support that?

2f45a733-8ad6-4ce3-be04-c394ee406578/2244-0
00:15:31.739 --> 00:15:35.536
So, so Ron,
you wanna talk about all all the requests

2f45a733-8ad6-4ce3-be04-c394ee406578/2244-1
00:15:35.536 --> 00:15:38.419
we have for integration? Absolutely, yes.

2f45a733-8ad6-4ce3-be04-c394ee406578/2236-0
00:15:36.699 --> 00:15:37.019
Hmm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2282-0
00:15:37.659 --> 00:15:43.393
Right. So, so there's always,
there are always requests for integration,

2f45a733-8ad6-4ce3-be04-c394ee406578/2240-0
00:15:38.379 --> 00:15:38.419
I.

2f45a733-8ad6-4ce3-be04-c394ee406578/2282-1
00:15:43.393 --> 00:15:48.891
right. So from a BTA perspective,
best practice advisory perspective,

2f45a733-8ad6-4ce3-be04-c394ee406578/2264-0
00:15:47.299 --> 00:15:47.779
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2282-2
00:15:48.891 --> 00:15:52.819
just to be more specific,
you know obviously the.

2f45a733-8ad6-4ce3-be04-c394ee406578/2327-0
00:15:53.219 --> 00:16:00.005
Functionality exists within Epic.
You know they they effectively support

2f45a733-8ad6-4ce3-be04-c394ee406578/2286-0
00:15:56.419 --> 00:15:56.899
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2327-1
00:16:00.005 --> 00:16:04.281
our clinicians in making real-time
decisions.

2f45a733-8ad6-4ce3-be04-c394ee406578/2327-2
00:16:04.281 --> 00:16:11.717
So as far as the BPA effort altogether,
we maintain a structured review process

2f45a733-8ad6-4ce3-be04-c394ee406578/2327-3
00:16:11.717 --> 00:16:13.019
that includes.

2f45a733-8ad6-4ce3-be04-c394ee406578/2362-0
00:16:13.099 --> 00:16:19.839
Includes regular meetings, right.
So just to see how effective the BPAS are,

2f45a733-8ad6-4ce3-be04-c394ee406578/2362-1
00:16:19.839 --> 00:16:26.668
we evaluate that with clinical leadership
and you know make sure that the the

2f45a733-8ad6-4ce3-be04-c394ee406578/2362-2
00:16:26.668 --> 00:16:28.419
impact to workflows.

2f45a733-8ad6-4ce3-be04-c394ee406578/2399-0
00:16:28.779 --> 00:16:33.243
Are optimal.
We adjust the thresholds to try to limit

2f45a733-8ad6-4ce3-be04-c394ee406578/2399-1
00:16:33.243 --> 00:16:38.533
alert fatigue, right?
So this helps us ensure that the BPAS are

2f45a733-8ad6-4ce3-be04-c394ee406578/2399-2
00:16:38.533 --> 00:16:43.080
clinically relevant,
actionable and aligned, you know,

2f45a733-8ad6-4ce3-be04-c394ee406578/2399-3
00:16:43.080 --> 00:16:46.139
with patient safety goals, right? So.

2f45a733-8ad6-4ce3-be04-c394ee406578/2426-0
00:16:46.379 --> 00:16:50.068
We work,
I would say we work collaboratively with

2f45a733-8ad6-4ce3-be04-c394ee406578/2426-1
00:16:50.068 --> 00:16:54.053
stakeholders,
clinical stakeholders to make sure that

2f45a733-8ad6-4ce3-be04-c394ee406578/2426-2
00:16:54.053 --> 00:16:58.259
we're, you know,
alerting appropriately and effectively.

2f45a733-8ad6-4ce3-be04-c394ee406578/2476-0
00:16:57.619 --> 00:17:02.061
And is there any kind of how,
how would you say you're you plan on

2f45a733-8ad6-4ce3-be04-c394ee406578/2476-1
00:17:02.061 --> 00:17:06.171
responding in the future?
Do you have any road map to combine

2f45a733-8ad6-4ce3-be04-c394ee406578/2476-2
00:17:06.171 --> 00:17:11.409
clinical claims and device data to create
a kind of source of truth on each of

2f45a733-8ad6-4ce3-be04-c394ee406578/2476-3
00:17:11.409 --> 00:17:15.851
these high risk patients?
Is there any any value that one Brooklyn

2f45a733-8ad6-4ce3-be04-c394ee406578/2476-4
00:17:15.851 --> 00:17:16.979
Health would see?

2f45a733-8ad6-4ce3-be04-c394ee406578/2487-0
00:17:17.419 --> 00:17:22.059
See in in integrating all those different
disparate data sources.

2f45a733-8ad6-4ce3-be04-c394ee406578/2535-0
00:17:21.339 --> 00:17:25.222
Absolutely, yeah.
So Epic would be our source of truth.

2f45a733-8ad6-4ce3-be04-c394ee406578/2535-1
00:17:25.222 --> 00:17:30.423
So we would look to create those
integrations into our EMR and taking take

2f45a733-8ad6-4ce3-be04-c394ee406578/2502-0
00:17:28.339 --> 00:17:28.819
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2535-2
00:17:30.423 --> 00:17:35.831
full advantage of that single pane of
glass so that our clinicians, you know,

2f45a733-8ad6-4ce3-be04-c394ee406578/2535-3
00:17:35.831 --> 00:17:39.299
don't have to jump from solution A to
solution B.

2f45a733-8ad6-4ce3-be04-c394ee406578/2573-0
00:17:39.819 --> 00:17:45.191
And I did notice online there was an
announcement that that One Brooklyn

2f45a733-8ad6-4ce3-be04-c394ee406578/2573-1
00:17:45.191 --> 00:17:50.490
Health has a cloud enabled version of an
enterprise integration engine.

2f45a733-8ad6-4ce3-be04-c394ee406578/2573-2
00:17:50.490 --> 00:17:56.451
Any reason why that integration engine is
not pulling in this wearable data into

2f45a733-8ad6-4ce3-be04-c394ee406578/2573-3
00:17:56.451 --> 00:17:56.819
Epic?

2f45a733-8ad6-4ce3-be04-c394ee406578/2625-0
00:17:58.059 --> 00:18:01.139
Right. So it's just a question of timing,
right,

2f45a733-8ad6-4ce3-be04-c394ee406578/2625-1
00:18:01.139 --> 00:18:06.358
and making sure that we prioritize all of
the various integration requests that we

2f45a733-8ad6-4ce3-be04-c394ee406578/2625-2
00:18:06.358 --> 00:18:09.439
have. You know,
to Doctor Scott's point earlier,

2f45a733-8ad6-4ce3-be04-c394ee406578/2591-0
00:18:06.459 --> 00:18:07.539
Mm-hmm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2625-3
00:18:09.439 --> 00:18:14.595
we have multiple requests for integration.
It's just a question of of slotting it

2f45a733-8ad6-4ce3-be04-c394ee406578/2598-0
00:18:10.899 --> 00:18:11.379
I.

2f45a733-8ad6-4ce3-be04-c394ee406578/2625-4
00:18:14.595 --> 00:18:17.739
and make sure making sure that we can
facilitate.

2f45a733-8ad6-4ce3-be04-c394ee406578/2656-0
00:18:17.899 --> 00:18:21.382
Got it.
And then kind of backing up to a question

2f45a733-8ad6-4ce3-be04-c394ee406578/2627-0
00:18:18.659 --> 00:18:18.939
Yeah.

2f45a733-8ad6-4ce3-be04-c394ee406578/2656-1
00:18:21.382 --> 00:18:24.795
about population health management,
technically,

2f45a733-8ad6-4ce3-be04-c394ee406578/2656-2
00:18:24.795 --> 00:18:30.229
how do you identify rising risk patients
within your total patient population

2f45a733-8ad6-4ce3-be04-c394ee406578/2656-3
00:18:30.229 --> 00:18:34.339
prior to a patient encounter before they
become high cost?

2f45a733-8ad6-4ce3-be04-c394ee406578/2693-0
00:18:34.819 --> 00:18:39.799
So we think that of these 15,000 people,
these 500 are really going to be the high

2f45a733-8ad6-4ce3-be04-c394ee406578/2693-1
00:18:39.799 --> 00:18:44.239
priority chronic condition people.
They haven't seen a doctor in the last

2f45a733-8ad6-4ce3-be04-c394ee406578/2693-2
00:18:44.239 --> 00:18:48.019
year, but we think they should.
How do you target that cohort?

2f45a733-8ad6-4ce3-be04-c394ee406578/2723-0
00:18:48.059 --> 00:18:52.655
That's an excellent question.
So we're actually, you know,

2f45a733-8ad6-4ce3-be04-c394ee406578/2723-1
00:18:52.655 --> 00:18:58.498
many health systems have already put in
place a chronic disease management

2f45a733-8ad6-4ce3-be04-c394ee406578/2723-2
00:18:58.498 --> 00:19:02.393
program.
We're a relatively new health system and

2f45a733-8ad6-4ce3-be04-c394ee406578/2723-3
00:19:02.393 --> 00:19:02.939
so our.

2f45a733-8ad6-4ce3-be04-c394ee406578/2781-0
00:19:03.179 --> 00:19:08.739
Our one of the the initiatives we're
embarking upon now is to create a for the

2f45a733-8ad6-4ce3-be04-c394ee406578/2730-0
00:19:06.459 --> 00:19:06.659
To.

2f45a733-8ad6-4ce3-be04-c394ee406578/2781-1
00:19:08.739 --> 00:19:14.018
entire system, a registry of patients,
for example, who have hypertension.

2f45a733-8ad6-4ce3-be04-c394ee406578/2744-0
00:19:13.459 --> 00:19:13.619
OK.

2f45a733-8ad6-4ce3-be04-c394ee406578/2781-2
00:19:14.018 --> 00:19:17.538
I mean that Epic,
Epic facilitates those types of

2f45a733-8ad6-4ce3-be04-c394ee406578/2781-3
00:19:17.538 --> 00:19:21.268
registries.
Today we largely focus on those patients

2f45a733-8ad6-4ce3-be04-c394ee406578/2781-4
00:19:21.268 --> 00:19:23.099
who are already high risk.

2f45a733-8ad6-4ce3-be04-c394ee406578/2772-0
00:19:22.539 --> 00:19:24.059
Mm-hmm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2830-0
00:19:23.179 --> 00:19:26.770
But you make a very good point, right?
From that registry,

2f45a733-8ad6-4ce3-be04-c394ee406578/2830-1
00:19:26.770 --> 00:19:31.396
you can include patients who you can
divide the patients into those who are

2f45a733-8ad6-4ce3-be04-c394ee406578/2830-2
00:19:31.396 --> 00:19:34.926
extreme high risk,
those who are in trouble and those who

2f45a733-8ad6-4ce3-be04-c394ee406578/2830-3
00:19:34.926 --> 00:19:38.335
are, who are, you know,
potentially will be in trouble.

2f45a733-8ad6-4ce3-be04-c394ee406578/2830-4
00:19:38.335 --> 00:19:42.779
So I know that many organizations,
we're a relatively new health system.

2f45a733-8ad6-4ce3-be04-c394ee406578/2877-0
00:19:42.899 --> 00:19:43.059
Um.

2f45a733-8ad6-4ce3-be04-c394ee406578/2841-0
00:19:48.539 --> 00:19:49.099
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2888-0
00:20:06.339 --> 00:20:06.819
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/2934-0
00:20:06.859 --> 00:20:10.031
We will be able to not only look at our
system,

2f45a733-8ad6-4ce3-be04-c394ee406578/2934-1
00:20:10.031 --> 00:20:14.657
but we'll be able to look at the
population beyond our system and the

2f45a733-8ad6-4ce3-be04-c394ee406578/2934-2
00:20:14.657 --> 00:20:20.208
population of patients who have a chronic
condition that we share with other health

2f45a733-8ad6-4ce3-be04-c394ee406578/2934-3
00:20:20.208 --> 00:20:23.579
systems.
So ideally it's not hospital system based

2f45a733-8ad6-4ce3-be04-c394ee406578/2934-4
00:20:23.579 --> 00:20:26.619
and it's regionally based,
right and so that.

2f45a733-8ad6-4ce3-be04-c394ee406578/2928-0
00:20:26.179 --> 00:20:26.339
Right.

2f45a733-8ad6-4ce3-be04-c394ee406578/2966-0
00:20:26.619 --> 00:20:31.491
The multiple health systems within one
region can manage the same population

2f45a733-8ad6-4ce3-be04-c394ee406578/2966-1
00:20:31.491 --> 00:20:34.591
together.
That's really the ideal state and both

2f45a733-8ad6-4ce3-be04-c394ee406578/2966-2
00:20:34.591 --> 00:20:39.020
those that are, for example,
pre-diabetic and those that are actually

2f45a733-8ad6-4ce3-be04-c394ee406578/2966-3
00:20:39.020 --> 00:20:40.539
diagnosed with diabetes.

2f45a733-8ad6-4ce3-be04-c394ee406578/2999-0
00:20:40.859 --> 00:20:45.862
Right. I would just add to that if I may.
So Epic has a solution called Healthy

2f45a733-8ad6-4ce3-be04-c394ee406578/2999-1
00:20:45.862 --> 00:20:50.052
Planet, right. And this,
this is how we were able to leverage sort

2f45a733-8ad6-4ce3-be04-c394ee406578/2999-2
00:20:50.052 --> 00:20:53.492
of like what's happening across various
other systems,

2f45a733-8ad6-4ce3-be04-c394ee406578/2999-3
00:20:53.492 --> 00:20:55.619
right and pull the information in.

2f45a733-8ad6-4ce3-be04-c394ee406578/2995-0
00:20:54.739 --> 00:20:54.779
Oh.

2f45a733-8ad6-4ce3-be04-c394ee406578/3019-0
00:20:56.379 --> 00:21:02.420
So and we can also leverage a predictive
analytical tools as well as risk

2f45a733-8ad6-4ce3-be04-c394ee406578/3019-1
00:21:02.420 --> 00:21:06.339
stratification models based upon that
solution.

2f45a733-8ad6-4ce3-be04-c394ee406578/3064-0
00:21:06.379 --> 00:21:10.519
I appreciate that, Ron.
And I guess you're probably generating a

2f45a733-8ad6-4ce3-be04-c394ee406578/3064-1
00:21:10.519 --> 00:21:15.743
lot of those dashboards in radar in order
to create those analytical reports that

2f45a733-8ad6-4ce3-be04-c394ee406578/3064-2
00:21:15.743 --> 00:21:21.030
Doctor Scott was speaking about. Doctor,
we are approaching the end of the podcast

2f45a733-8ad6-4ce3-be04-c394ee406578/3048-0
00:21:18.979 --> 00:21:19.219
Correct.

2f45a733-8ad6-4ce3-be04-c394ee406578/3064-3
00:21:21.030 --> 00:21:23.579
episode, but a few more quick questions.

2f45a733-8ad6-4ce3-be04-c394ee406578/3112-0
00:21:23.579 --> 00:21:28.249
You raise an interesting point.
One Brooklyn Health is managing high risk

2f45a733-8ad6-4ce3-be04-c394ee406578/3112-1
00:21:28.249 --> 00:21:31.152
patients in a dynamic geographical
footprint,

2f45a733-8ad6-4ce3-be04-c394ee406578/3112-2
00:21:31.152 --> 00:21:35.822
where these patients may easily find
themselves in an emergency room of a

2f45a733-8ad6-4ce3-be04-c394ee406578/3112-3
00:21:35.822 --> 00:21:39.672
different health system.
They may be in Mount Sinai one day,

2f45a733-8ad6-4ce3-be04-c394ee406578/3112-4
00:21:39.672 --> 00:21:43.459
New York City Health and Hospitals,
One Brooklyn Health on.

2f45a733-8ad6-4ce3-be04-c394ee406578/3153-0
00:21:43.699 --> 00:21:47.597
Tuesday and three weeks from now they may
be in Northwell, right.

2f45a733-8ad6-4ce3-be04-c394ee406578/3153-1
00:21:47.597 --> 00:21:50.727
It's a very mobile population.
It could be homeless.

2f45a733-8ad6-4ce3-be04-c394ee406578/3153-2
00:21:50.727 --> 00:21:54.803
Now there are HI ES in the area.
There's health X for one at how and

2f45a733-8ad6-4ce3-be04-c394ee406578/3153-3
00:21:54.803 --> 00:21:58.878
there's National Health Exchanges.
You mentioned how you're managing

2f45a733-8ad6-4ce3-be04-c394ee406578/3153-4
00:21:58.878 --> 00:22:02.659
patients that are wholly within your
population, but of course.

2f45a733-8ad6-4ce3-be04-c394ee406578/3176-0
00:22:02.939 --> 00:22:08.444
Patients are getting care everywhere.
How do you see yourself other than care

2f45a733-8ad6-4ce3-be04-c394ee406578/3176-1
00:22:08.444 --> 00:22:13.174
everywhere through Epic,
managing these patients as a move between

2f45a733-8ad6-4ce3-be04-c394ee406578/3176-2
00:22:13.174 --> 00:22:14.939
different health systems?

2f45a733-8ad6-4ce3-be04-c394ee406578/3227-0
00:22:16.019 --> 00:22:20.422
So our payers have actually been really
good partners, right?

2f45a733-8ad6-4ce3-be04-c394ee406578/3227-1
00:22:20.422 --> 00:22:23.974
So the the the payers, for example,
Health First,

2f45a733-8ad6-4ce3-be04-c394ee406578/3227-2
00:22:23.974 --> 00:22:29.727
a large percentage of our patients are
insured by Health First and we share data

2f45a733-8ad6-4ce3-be04-c394ee406578/3195-0
00:22:24.819 --> 00:22:25.379
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/3202-0
00:22:28.379 --> 00:22:28.859
Mhm.

2f45a733-8ad6-4ce3-be04-c394ee406578/3227-3
00:22:29.727 --> 00:22:35.339
with them and they share data with us.
So if the patient is receiving care in.

2f45a733-8ad6-4ce3-be04-c394ee406578/3212-0
00:22:30.859 --> 00:22:31.219
No.

2f45a733-8ad6-4ce3-be04-c394ee406578/3270-0
00:22:35.419 --> 00:22:38.636
Multiple locations,
their payer knows this.

2f45a733-8ad6-4ce3-be04-c394ee406578/3270-1
00:22:38.636 --> 00:22:44.560
And so one of the ways we help to manage
certain populations is in collaboration

2f45a733-8ad6-4ce3-be04-c394ee406578/3270-2
00:22:44.560 --> 00:22:48.875
with our payers and the data that they
also provide to us.

2f45a733-8ad6-4ce3-be04-c394ee406578/3270-3
00:22:48.875 --> 00:22:53.848
So we'll have a specific metric.
Today I was actually talking about

2f45a733-8ad6-4ce3-be04-c394ee406578/3270-4
00:22:53.848 --> 00:22:55.019
substance abuse.

2f45a733-8ad6-4ce3-be04-c394ee406578/3314-0
00:22:55.099 --> 00:22:59.678
Disorders and how we can facilitate more
touches with patients who present to the

2f45a733-8ad6-4ce3-be04-c394ee406578/3314-1
00:22:59.678 --> 00:23:02.916
emergency departments with substance use
disorders. Well,

2f45a733-8ad6-4ce3-be04-c394ee406578/3314-2
00:23:02.916 --> 00:23:07.551
our payers can also provide information
about where that patient might be landing,

2f45a733-8ad6-4ce3-be04-c394ee406578/3291-0
00:23:04.019 --> 00:23:04.059
I.

2f45a733-8ad6-4ce3-be04-c394ee406578/3314-3
00:23:07.551 --> 00:23:10.064
you know,
in the emergency department across

2f45a733-8ad6-4ce3-be04-c394ee406578/3314-4
00:23:10.064 --> 00:23:12.019
Brooklyn. But Ron, did you want to?

2f45a733-8ad6-4ce3-be04-c394ee406578/3316-0
00:23:12.139 --> 00:23:13.659
How do you think to that one?

2f45a733-8ad6-4ce3-be04-c394ee406578/3361-0
00:23:12.699 --> 00:23:16.298
Right. Sure. Excellent point,
Doctor Scott.

2f45a733-8ad6-4ce3-be04-c394ee406578/3361-1
00:23:16.298 --> 00:23:21.534
So we also participate in Healthix, right.
As a matter of fact,

2f45a733-8ad6-4ce3-be04-c394ee406578/3361-2
00:23:21.534 --> 00:23:27.752
last year we were coined when Brooklyn
Health was coined as data champions,

2f45a733-8ad6-4ce3-be04-c394ee406578/3361-3
00:23:27.752 --> 00:23:31.515
right,
based upon our participation with with

2f45a733-8ad6-4ce3-be04-c394ee406578/3361-4
00:23:31.515 --> 00:23:32.579
Healthix. So.

2f45a733-8ad6-4ce3-be04-c394ee406578/3369-0
00:23:32.699 --> 00:23:37.219
Number of different ways that we
participate and can share there.

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-0
00:23:36.939 --> 00:23:39.558
Got it.
We are approaching the end of the episode,

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-1
00:23:39.558 --> 00:23:42.331
so I'd like to ask each of you for a
final statement.

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-2
00:23:42.331 --> 00:23:46.234
Our listeners are across the United
States in comparable positions in large

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-3
00:23:46.234 --> 00:23:49.520
health systems everywhere.
On the topic of intersection of data

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-4
00:23:49.520 --> 00:23:53.064
integrity and remote patient monitoring
to manage population health,

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-5
00:23:53.064 --> 00:23:56.248
what would you say?
I'll start with Doctor Scott and then I'd

2f45a733-8ad6-4ce3-be04-c394ee406578/3427-6
00:23:56.248 --> 00:23:56.659
love to.

2f45a733-8ad6-4ce3-be04-c394ee406578/3466-0
00:23:56.939 --> 00:24:00.351
To end up with Ron here,
what would you say to someone listening

2f45a733-8ad6-4ce3-be04-c394ee406578/3466-1
00:24:00.351 --> 00:24:03.974
who's wondering how to improve data
integrity in their organization?

2f45a733-8ad6-4ce3-be04-c394ee406578/3466-2
00:24:03.974 --> 00:24:07.859
How to better manage their population
health of their patient population?

2f45a733-8ad6-4ce3-be04-c394ee406578/3466-3
00:24:07.859 --> 00:24:12.006
And is remote patient monitoring the
right direction that they'd like to go in

2f45a733-8ad6-4ce3-be04-c394ee406578/3466-4
00:24:12.006 --> 00:24:13.739
order to help achieve those ends?

2f45a733-8ad6-4ce3-be04-c394ee406578/3521-0
00:24:14.299 --> 00:24:17.797
Absolutely.
And I think our story is a good story

2f45a733-8ad6-4ce3-be04-c394ee406578/3521-1
00:24:17.797 --> 00:24:22.834
because we didn't start with the most
complex technology and workflows.

2f45a733-8ad6-4ce3-be04-c394ee406578/3521-2
00:24:22.834 --> 00:24:28.291
So the most important thing is to put
your toe in the water of remote patient

2f45a733-8ad6-4ce3-be04-c394ee406578/3521-3
00:24:28.291 --> 00:24:33.819
monitoring and if you don't have the
resources to to have the fancy bells and.

2f45a733-8ad6-4ce3-be04-c394ee406578/3552-0
00:24:33.819 --> 00:24:36.491
Vessels.
There are many ways that you can

2f45a733-8ad6-4ce3-be04-c394ee406578/3515-0
00:24:34.139 --> 00:24:34.259
OK.

2f45a733-8ad6-4ce3-be04-c394ee406578/3552-1
00:24:36.491 --> 00:24:41.326
institute remote patient monitoring to
help the populations that you serve,

2f45a733-8ad6-4ce3-be04-c394ee406578/3552-2
00:24:41.326 --> 00:24:45.207
and I think the most important thing is
to to give it a try.

2f45a733-8ad6-4ce3-be04-c394ee406578/3552-3
00:24:45.207 --> 00:24:48.579
Technology absolutely can improve
population health.

2f45a733-8ad6-4ce3-be04-c394ee406578/3558-0
00:24:48.859 --> 00:24:51.139
And I encourage people to go for it.

2f45a733-8ad6-4ce3-be04-c394ee406578/3561-0
00:24:51.139 --> 00:24:52.979
Thank you, Doctor Scott. Ron.

2f45a733-8ad6-4ce3-be04-c394ee406578/3609-0
00:24:53.219 --> 00:24:56.559
Sure. So, so I would say data, data, data,
right.

2f45a733-8ad6-4ce3-be04-c394ee406578/3609-1
00:24:56.559 --> 00:25:01.302
So it's important to make sure that we
are facilitating and arming our

2f45a733-8ad6-4ce3-be04-c394ee406578/3609-2
00:25:01.302 --> 00:25:06.914
clinicians with as much data as possible.
And while we're still in our early stages

2f45a733-8ad6-4ce3-be04-c394ee406578/3609-3
00:25:06.914 --> 00:25:10.789
of remote patient monitoring,
as far as integration goes,

2f45a733-8ad6-4ce3-be04-c394ee406578/3609-4
00:25:10.789 --> 00:25:12.259
we're looking forward.

2f45a733-8ad6-4ce3-be04-c394ee406578/3627-0
00:25:12.619 --> 00:25:16.816
To facilitate that integration so that
clinicians are armed with as much

2f45a733-8ad6-4ce3-be04-c394ee406578/3627-1
00:25:16.816 --> 00:25:19.979
information and making informed decisions
as possible.