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Hello everyone.

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Thank you for tuning in to the
Becker's Healthcare podcast series.

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My name is Mariah Mohammed,
writer at Becker's Healthcare,

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and today we'll be discussing how alerts
in the E H R system may help bridge the

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17 year gap between publication of
evidence-based guidelines and consistent

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implementation and practice
by healthcare providers.

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We are thrilled to be joined by
Dr. Ralph Rlo and Dr. Nihar Desai.

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Before we get started,
Dr. Rlo and Dr. Desai,

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can you please share a bit more about
yourself, starting with you, Dr. Rlo?

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Certainly. Yeah. So my name is Ralph
Frio. I'm a clinical pharmacy specialist,

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uh, that's been working, uh, with Yale
Health System for over a decade. Um, and,

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and tr transitioned a few, uh,

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years ago over to the School of
Medicine to partner with, uh,

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some wonderful cardiologists like niha on,

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on some exciting trials like Prompt Lipid.

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Perfect. Thank you very
much. And then Dr. Desai?

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Sure. Uh, Nihar Desai.

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I'm a cardiologist here at the Yale
School of Medicine and Vice Chief of

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Cardiology here. And, um,

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also very interested in implementation
science and doing pragmatic clinical

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trials, which we're really
excited to talk about, um, today.

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Yeah, absolutely.

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Thank you again so much for joining us
today to the both of you and Dr. Desai.

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If I could ask you the first question
for those tuning in who may have not seen

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the featured presentation at the
American Heart Association Conference,

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can you please explain the objective
of the Prompt Lipid trial and summarize

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the key findings for us?

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Sure. Merh delighted too. So,

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prompt Lipid was really designed
to evaluate whether automated

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electronic alerts with guideline based
recommendations could help to improve

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the management of hyperlipidemia among
patients with established cardiovascular

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disease at very high risk
for cardiovascular events.

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And what we were very excited to see
in this trial of about 100 providers

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and over 2000 patients is
a significant increase in

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the use of evidence-based lipid
lowering therapies. In fact,

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we saw that those providers
who received this decision

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alert were about 40% more
likely to intensify lipid

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lowering therapy.

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And then amongst the subset of providers
who sort of more favorably interacted

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with the alert,

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we saw a more than twofold increase in
the use of evidence-based lipid lowering

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therapies.

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Wonderful. Yeah. Thank you so much for
that background information. Now, Dr.

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Rlo,

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the prompt lipid research team
felt strongly that patients with

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very high risk atherosclerotic
cardiovascular disease would make for a

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compelling population to
test an innovative approach
to quality improvement.

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Can you explain why that is?

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Yes, it certainly can, uh, Mariah,
and that patients with atheros, uh,

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sclerosis, uh, cardiovascular
D uh, disease or A S C B D, um,

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we know that their, their l LDL well,
um, L D L cholesterol L LDL C is,

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has been a critical modifiable risk
factor, um, for their disease that,

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that we as providers can control.
And in lipid lowering therapy,

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particularly intensive lipid lowering
therapy for this high risk patient

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population, you know,
it's been recommended by,

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by clinical practice guidelines
for years. Um, however,

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the evidence practice gap between what
the guidelines say we should be doing and

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the therapies our patients actually
receive in, in real world practice, um,

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is vast. Um,

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only about half of patients with A S C
V D are actually prescribed any statin

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whatsoever in the United States. Um,

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and fewer than a quarter of these
patients are, are even prescribed, uh,

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the appropriately recommended
high-intensity statin. So
as it currently stands,

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sort of passive diffusion
of these guidelines, um, to,
to our providers and, uh,

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to make sure that these therapies reach
patients, um, just really isn't enough.

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And, and clinical inertia
really, um, you know,

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prevents our providers from, from passing
on these therapies to patients. Um,

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so, so we were hoping that the C H R
alert might do something to change that.

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Yes. Thank you for those
insights. Dr. Rlo, Dr.

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Desai of the many E H R alerts that
fire every day for clinicians using

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the electronic health record system.

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Very few are ever subject to thorough
evaluation after they're deployed.

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What prompted your research team
to go through the extra effort?

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Yeah, it's a great question, and
I think as you heard from Ralph,

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that there was a real sense of urgency
that our team felt that, you know,

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patients with high risk atherosclerotic
cardiovascular disease really needed

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intensification of their
lipid lowering therapy.

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We thought that an alert
like this that was real time,

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that was targeted and tailored,
um, would be helpful to providers,

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but we were committed to actually testing
it in a very rigorous way to actually

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define and determine whether an alert
like this would actually do the things

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that we wanted it to do. And again,
we were very pleased with, um,

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the results of prompt lipid
that really again showed, um,

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the benefits of an alert like this to
improve the quality of care for our

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patients with very high risk A C B D.

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Yeah, and to, to dovetail off
Neer's point there as well,

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I think all too often when, uh,

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when health systems look to
implement alerts like these in the,

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in electronic health record, um, very
rarely are they ever actually, you know,

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formally studied in a,
in a prospective fashion,

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let alone in a randomized controlled
trial. And, and, you know,

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I think the consequence of that is, is,
you know, contributes to alert fatigue.

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Many of these alerts, you
know, as important as they
may be, tend to get ano uh,

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ignored. You know, for
instance, we're, we're,

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we're in deep flu season right now. Uh,

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I can't even tell you how many charts
I've opened up just to get pinged with

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these alerts that, that I know most
of our clinicians click through. So,

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so it's important to understand in a,

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in a well controlled setting how these
alerts actually perform and, and,

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you know, do what they're intended to do.

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Absolutely. Yeah, I completely agree.
And it seems that that actually,

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that really did pay off, thankfully. Um,
if I could come back to you actually,

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Dr. Rlo, the providers, uh,

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surveyed in both the Prompt HF and
prompt lipid trials seem to view the

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alert quite favorably and often accepted
the recommendations as suggested.

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What about your team's approach
enabled that user finding what you say.

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<Laugh>? Yeah, Mariah, that was
a really good point. Um, um,

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that might've been one of
the most surprising things
I think that we came away

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with. Um, uh, some of
the results from our,

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our various prompt studies
for 'em and promptly it's, uh,

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certainly notwithstanding, um, I I think
it has to do with our secret sauce and,

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and that's, that's engaging our, you know,

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highest volume cardiology stakeholders
upfront and early in that process.

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You know, give them a seat at the
table, listen to them, uh, you know,

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engage them, you know, recruit them for
feedback. And, and we actually had a,

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a couple separate focus groups with,
with, you know, the busiest, um, you know,

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lipid lowering therapy prescribers
to make sure, you know,

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these are the ones in the front lines
of healthcare doing the work that,

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that we think is important and, and
that we wanna see more of. So, you know,

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by asking them for their input on not
just the build of the alert, but you know,

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when it should fire what the
order set should look like,

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what labs should display, um, we
felt like, you know, their input was,

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was incredibly valuable to make
sure we designed something that was

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user-friendly for the people who would
actually use it and buy the people that

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used it. Because cuz sure, you
know, Nihar and I have, you know,

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spent our careers caring for
cardiovascular patients, but,

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but we want to ask what others think
about that too, to make sure that,

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you know, it, it,

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it helps facilitate their clinical
workflow rather than hinder it in any way.

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Yeah. Yeah,

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making sure everyone feels heard is
definitely essential for these types of

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trials. And Dr. Desai, if I could ask you,

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alert fatigue is a pressing concern for
many frontline clinicians and may have

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consequences for patient safety as
well as contribute to provider pa uh,

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burnout. How did the prompt lipid
trial help address this barrier?

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Yeah, it's a great question
and a great point and I'll,

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I'll build on much of
what Ralph, you know,

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just started to discuss about
the design of the alert.

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And so alert fatigue is a real
concern. I think all of us, you know,

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practicing on the front lines are,
are loathe to get additional alerts,

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you know, especially those that interrupt
or interfere, um, you know, with,

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with direct clinical workflow. And I
think one of the things that we did,

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you heard about from Ralph was we engaged
frontline providers and said, Hey,

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what, what do you wanna see? What
should the alert look like? Um,

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what time in your clinical
encounter should it fire?

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I think the other thing that we did was
very helpful was we brought and pulled

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information from the medical record
that might otherwise take 2, 3, 4

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other clicks and actually
brought that into the alert.

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And I think the final piece of it is
that we made the alert pretty easy to

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interact with that if you
wanted to do the right thing,

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if you wanted to open the order set,

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that the orders were actually embedded
within the alert itself. Um, and so that,

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that step from interacting with the
alert to then doing the right thing was

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about as simple and straightforward
as could be. And so I think, you know,

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many of the in secret ingredients
as, as Ralph calls them, um, <laugh>,

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you know, kind of, you know,
get, getting the engagement of,

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of clinicians upfront, um, really
thinking deep about, you know,

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what the alert itself looks like,

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pulling information into
it and then embedding,

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ordering capability within the alert
to really make it a very seamless

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experience. So that at
least I hope, you know,

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gives you a sense of what we were trying
to do to try and overcome that kind of

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intrinsic fear that everyone
has about alert fatigue.

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Yeah. And, and I think
another point to add on there,

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there ni at least to emphasize again
cause I I think it's so important,

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is that the, the alert only fires
when the patient has, you know,

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low hanging fruit, you know, guideline
recommended but not yet implemented,

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um, change with their
therapy. So you know, it,

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the alert's not gonna suggest them to do
something that would be duplicative or,

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you know, the patient's
already on a statin.

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Why is this telling me to
prescribe another one? Um, it,

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it's really just a meaningful easy
change at the point of care only when

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it's indicated for the patient.

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Yeah. Yeah. Thank you very much to, to
both of you for that information, Dr.

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Relo, before I let you both go,

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I must ask now that the prom
lipid trial is completed,

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what are the next steps for your research
team to further explore opportunities

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on these findings?

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Yeah, great question, right?

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We always need to look beyond
sort of our own house, um, to, to,

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to make sure that we can then
extrapolate these findings to,

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to other systems as well. And, and I
think the, the, the prompt research team,

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et cetera, definitely has some big plans
for that. Um, for, for one, this, uh,

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the prompt lipid trial was conducted
exclusively at Yale Health System and the

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outpatient, uh, clinic's, uh,
both cardiology and medicine. Um,

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but we would certainly like to
see, you know, how this, you know,

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study performs beyond our own, you know,
neighborhood beyond our community, um,

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and expand that to, to other
interested sites. Um, additionally the,

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the study only took place, um, on, on
Epic as our E H R platform across Yale.

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Um, but certainly wouldn't be nice if,
if we could expand that to other eh,

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h r platforms as well.

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It's not sort of pigeonhole
ourselves just to one particular eh,

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r platform and make it more interoperable
for other sites that that may be using

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different ones. Um, and, you know,
expand it to, to other clinical settings.

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You know, maybe focus on
primary care or endocrine,

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but we know a lot of these
patients, um, you know,

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may also frequently see providers as well.

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Yeah. And I, I I, I
might just add, you know,

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I think there's a lot of
important work ahead and,

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and I think we're very excited to
build on the results of prompt, um,

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and prompt lipid to then, you know, think
about what else can be done. I mean,

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I think Mariah, you very nicely kind of
said right at the front of, you know,

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how do we bridge the gap
between evidence and practice?

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How do we shorten that time from when
things go into the guidelines and they're

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actually received by patients? And so I
think there's a lot of work to do, um,

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and we're really excited
to build on, you know,

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the exciting results for Prompt Lipid.

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Absolutely. And I'm also excited
to hear back on what you finds. Um,

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and I wanna thank both
of you, Dr. Rlo and Dr.

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Desai for your time and thought
provoking conversation today.

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We also wanna thank our
podcast sponsor Amgen.

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00:11:59,380 --> 00:12:03,560
You can tune into more podcasts
from Becker's Healthcare
by visiting our podcast

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00:12:03,670 --> 00:12:07,400
page at becker's hospital
review.com/podcast.

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00:12:07,680 --> 00:12:08,840
Thank you both again.

