Dr. Lisa Mathew interviews Dr. Mitesh Rao, chief executive officer of OMNY Health, about the organization's work to connect the healthcare ecosystem through data and insights to transform healthcare delivery, improve clinical outcomes, and address patients’ unmet needs.
OMNY Health recently announced a partnership with several of the nation's leading GI practices to enable insights on patient population characteristics, care delivery patterns, and treatment outcomes based on data extracted from de-identified electronic health records (EHRs).
The partnership will provide valuable information on disease severity, rationale behind treatment decisions, treatment efficacy, and impact of social determinants on treatment selection and disease progression.
Listen to Dr. Mathew and Dr. Rao as they explore how independent GI practices can be connected with research and development efforts underway in gastroenterology, including Crohn's & Colitis, celiac disease, short bowel syndrome, and many others.
Produced by Andrew Sousa and Hayden Margolis for Steadfast Collaborative, LLC
Mixed and mastered by Hayden Margolis
Gastro Broadcast, Episode 62
Mark as Played
Transcript
Episode Transcript
Available transcripts are automatically generated. Complete accuracy is not guaranteed.
(00:00):
This podcast is for general, educational and entertainment
purposes only and should not be considered medical,
practice management, legal, investment, or other professional advice.
No 1 should act or refrain from acting
based on this podcast or without obtaining appropriate
professional advice.
The goal here is not just to turn
it into, you know, a source of revenue,
but also turn into fuel for innovation. And
(00:22):
so in that same light, we bring this
clean structured data back to our organizations. And
that means data that can go that can
power their Bi solutions. That can power their
research opportunities,
our data partners use this data and apply
for Nih grants. They use it to help
improve,
finding patients for clinical trials.
They use it for quality and operations metrics.
(00:42):
I when you name it. It's... At the
end of the day, for a practice, it's
your data.
Its data should work for you on multiple
levels. We focus on building out the external
worlds, and then we also wanna ring that
data back for you is feel so that
it can power the internal side.
Welcome to Gas broadcast presented by tissue cipher
from castle bios.
I'm your host, Doctor. Lisa Matthew.
(01:04):
My guest today is Doctor Mites Ra, Chief
Executive Officer of Omni Health.
The omni platform serves as a centralized resource
for healthcare stakeholders to participate in data sharing.
And research services at scale, fueling innovation where
patients need it the most.
I'm excited to speak with Doctor. Ra about
(01:25):
recent partnership with some of the nation's leading
private practice Gi groups and integrated delivery networks
to launch a set of real world, data
and evidence solutions for research.
Doctor. Ra, welcome to Gas Broadcast.
Thank you for some. Thank you so much
for having Lisa.
Well, we really like to start by getting
to know our guests. So Doctor Out, how
(01:46):
did you choose a career in medicine and
what led you to found Omni health?
That's a great question.
So I am a product of a very
interesting family. My mom was an Ob G,
and my father's an engineer. And I told
the story before. But as a child, they
both fought over whose footsteps I was gonna
(02:06):
follow in. My mom
constantly wanted be to become a surgeon. She'd
make me practice with needle drivers.
She'd made me practice,
you know, come to the office hospital and
and
sit there with her just like, absorb being
in the clinical environment, and then my father
would make me program
on computers and the evening after homework was
done. So It was sort of a constant
(02:27):
battle, and I, you know, initially, if you'd
ask my mom, she would say that she
won and because I, you, end up when
Med school becoming a emergency medicine physician
but now after,
having,
run a tech company for few years now,
my dad claimed that he was the winner.
And so really, you know, from the high
level line medicine.
I think what it boils down to is,
(02:50):
there's it's an industry where there's incredible potential
to drive change.
And it's an industry that also has
a ton of hurdles that it has to
try to deal with. And trying to
improve outcomes and really connect the dots
when it comes to how we can drive
partnerships across the larger industry. And so I
saw huge challenges.
(03:11):
Naturally, I was exposed to a ton of
it. I felt love at early age, and,
and really, that's that's what drove me into
the health space. And I would say
incredibly happy as a physician still a board
certified physician, still faculty at Stanford, but
I found it omni health out a frustration.
Where I was
you know, leading safety and a good chunk
of quality at Stanford, and I kept seeing
(03:33):
opportunities for data to drive improvement.
Particularly when you look at areas like rare
disease, inflammatory
conditions,
autoimmune conditions, oncology,
there was so much that was happening very
quickly in the space as we were building
out new treatments, new procedures,
could care was just advancing an incredible pace.
And data drives everything. And yet and on
(03:55):
the other side of that equation, it was
very difficult to get the data out at
scale. Our data was sitting siloed,
locked away was inc growing across organizations.
I used to kinda joke that if you've
seen the data coming out of 1 mark
see the day coming out of 1 myanmar.
And so in the back of my head,
the question was, well, how could we create
a national language of data? And how do
we do this at scale in a way
(04:15):
that represents
every patient, every provider, every geography,
how do we build a layer of data
that connects the country. And they can serve
not only as fuel for research, but also
be a point of connectivity a common language
if you will, across all the stakeholders, really
ig uniting us in that shared vision of
improving patient care, and that's where Omni came
(04:36):
from. A desire to see that at scale
to see a way that we can exist
in effectively a post Emr world,
connect that data and start to advance
the science
in ways that you know, previously
were long cumbersome are difficult to ascertain. And
then also
you know, thinking about it from the perspective
of how do we align this so that
(04:56):
it really directly benefits patients and providers.
So that's... You know, at the of the
day, this sort of long with that answer,
I guess, of how I came to found
Omni,
and which is now going to a National
data layer that were corrected about.
That's fantastic. It also seems like both your
mother and father, 1 in this regard. So
bravo to them.
(05:18):
So you started out connecting researchers providers in
dermatology and op?
Right. Can you tell us a little bit
more about how omni health is working within
those disciplines as well as what led you
to,
do the same now for gas.
Oh Yeah. It was really interesting. So dermatologist
1 of those areas where we started to
touch upon the huge need for a lot
(05:39):
of the autoimmune inflammatory conditions that exists in
dermatologist.
Not mentioned the oncology conditions, and there was
a ton of research happening in the space
for groundbreaking treatments that we're gonna transform lives
of patients who were dealing with these chronic
conditions, thinking about things like psoriasis,
and alopecia and hid
and
(06:00):
you know, and and and that was an
opportunity that we saw where the data could
really transform the lives of so many. And
so Der was our first word. Goal, and
we built out that national network that's now
best in class, and they're really, you know,
proud to say that over the last few
years,
a lot of the
latest and greatest
treatments and approaches
(06:21):
and and novel
care patterns that are developed around those conditions,
are are being built on omni data.
And so, you know, we we started with
dermatology, and then we looked through and we
said, okay. Well, we love this space, but
there's a whole wide world there's hundreds and
hundreds of
the disease areas where did we go next?
And so op was interestingly enough. It was
sort of a natural occurrence where we started
(06:42):
to come across. Op groups, we started looking
at the op data with our hospital systems,
and we saw, again, huge
opportunity with conditions from dry eye to glaucoma,
you know, all these retinal conditions, all these
ocular conditions that the data could drive so
much in the space.
And so we launched op... Serve our next
(07:02):
specialty. And we what we wanna do
says be really thoughtful about this. Right? Be
really focused as we expand from 1 specialty
to the next. And after we had the
proof, that not only could we do this
at scale, but that we were a mature
platform
that we were a platform that could really
bring value into the specialty. That's when we
said, okay. Well, now, you know, it's time
to expand again. And so gas neurology are
(07:23):
through vertical. And, you know, at this point,
we're well seasoned and well versed in how
to be able to connect those pieces, bring
that data together.
What's nice is that that I think the
Gi world is gonna benefit from the fact
that a, not only are rev veterans in
this space
and have an incredible network already. But b,
we already have these established relationships across the
larger world of pharma and biotech.
(07:44):
And so it's a natural progression for us
to be able to expand.
And bring that same value into the specialty
and bring that same transformative capability.
Yeah. That's incredible. I mean, it should that
as a company really matured and developed, and
are now ready to take on new challenges.
And I can completely under stand sort of
the natural overlap between,
(08:06):
your ventures with dermatology,
in particular, and now some overlap with, Gi
based diseases And and I'll say, you know,
this is our sixth year.
We've
you know, we're a seasoned veteran team that's
been in this space. And Many of my
team members have been in the pharma and
research space for 20 plus years. And that's
really how we built this company. We brought
(08:27):
all the veterans together. And we said, we're
gonna do this We're gonna do it right.
We're gonna do it effectively. This isn't
you know, putting our finger up in the
air and trying to figure out the path
forward. We're gonna do as we know this
space well.
And so that that benefit. Right? And and
when it comes to working with groups, you
know, work with hospital systems is 1 piece,
but being able to partner effectively,
(08:47):
with either,
sponsor backed, Ms episodes and roll ups or
privately health groups, that that experience right, a
partnership something we bring to the table where
we've been doing this for the about part
of a decade and really built these long
lasting strong relationships where we are helping those
organizations really trans... Form their presence
in the data and R d space.
(09:08):
Don't go. That is a perfect segue to
my next question, which is
So Omni Health recently announced a partnership with
4 of the nation's leading Gi practices.
So telus us more, how is Omni... How
is the Omni platform? Helping Gi practices provide
better care to their patients through data and
insights? Yeah. A great question. So you know,
first and foremost,
(09:30):
our initial focus with these groups is helping
connect them and their data into the water
world of R and d at scale. Right?
And this comes out of my experience as
a practicing physician or researcher where,
every time we were doing a research initiatives.
It looks like we're inventing the wheel. It
was always a 1 up
alone would come alexa sciences company with a
really interesting project. We would do that project.
(09:51):
And projects, you know, they're exciting They're interesting.
But they're not recurring revenue for an organization,
and they're not sustainable engagement.
And so Omni focus is a little bit
different. Think of it as the pipes, helping
these organizations take their foundational data, clean its
structuring. Do identify a token it, turn it
into research, and regulatory grade data and evidence.
(10:14):
And do it a way to protects patients,
that's focused on patients and research right. And
then when we bring that data out and
help them partner with larger, let's say, life
sciences is entities. We help them do it
at scale. And that means lasting
multi year
recurring right recurring relationships where they're powering
the early phases of research work through multiple
(10:36):
stages. Right? They're actually
helping drive and move some of these
products that are at a molecule level all
the way through to actually getting them into
launch safely,
effectively
getting them deployed to the space and transforming
the Gi world. And what I want for
our groups is for them to be at
that forefront.
For them to be driving the narrative to
(10:57):
be at the table in really transforming the
specialty, and that's that's really the root of
where Omni sits a company is really empowering
our provider organizations to step into that world
and to do it at the the front
of the table.
I'm curious in addition to data
being used to help fund or to contribute
(11:18):
to important new research ventures.
Is there a mechanism by which Omni is
able to provide data
insights back to the practices?
Of course, our model is very simple for
our provider organizations. We're we're no cost to
them. We are investment in the relationship. Is
taking that data in, and in its raw
form, cleaning its structuring it identifying and token
(11:41):
and turning it into that research great gold
that regulatory regulatory grade goals. Alright? And that's
our investment list. And we do we do
it fast. We can,
new new organizations as they join our platform
in a matter of weeks are up and
running.
Then once they're up and running, it's sort
of twofold. 1, when we build out R
and D relationships, powering the best patients centered
(12:01):
research.
Across the biggest life sciences players.
We we have a royalty model where we
bring
revenues back to our provider organizations. And the
reason we do that is sort of twofold
fold. 1,
that's the best way to get that investment
back into benefiting patients. Right? Our our
clinical groups have done everything from taking the
(12:22):
data and
using that revenue to reinvest into their It
and r and D departments,
to using it to pay for
development costs to using it to cover their
had nursing salaries for some more hospital systems
are quite, you know, difficult for them to
manage. And so this is a novel source
of revenue for them, that helps them reinvest
(12:44):
in their practices and their patients.
It's also an asset that every organization is
sitting on that has little liquidity
And so the goal here is not just
to turn it into, you know, a source
of revenue, but also turn into fuel for
renovation. And so in that same light, we
bring this clean structured data. Back to our
organizations. And that means data that can go
that can power their Bi solutions. That can
(13:05):
power their research opportunities.
Our data partners use this data to apply
for Nih grants they use it to help
improve,
finding patients for clinical trials.
They use it for quality and operations metrics
to when you name it. It's at the
end of the day for a practice, it's
your data. Its data should work for you
on multiple levels. We focus on building out
(13:25):
the external world, And then we also wanna
ring that data back you is feel so
that it can power the internal side. And,
you know I think the R d world
is just a starting point. We're seeing a
lot of our groups now. Try to use
data at to power of large language models
and secure compliant way to start thinking about
it as advanced analytics capabilities. Some are starting
to look at it for value based care
conversations with payers and self employers. And so
(13:47):
there's a ton of potential here. We wanna
unleash and unlock that data for you so
that it can serve as collaborative
jewel.
I think it's incredible. And I think it
really highlights how
how valuable data has become. And how with
the right platform,
up using that data can effectively improve the
(14:07):
lives of patients,
practitioners,
and researchers simultaneously.
I think this is this is really incredible
work. No, absolutely. And thank you so much
that. Appreciate the kind words.
So can you tell us more about how
Omni connects the providers it works with 2
research and development efforts? I know we've kind
of touched on this already.
(14:28):
But I am curious if you could give
any, you know, real world examples about how
Omni health has played a role in Yeah.
And feel with inflammatory bowel diseases or short.
Bowel syndrome, celiac disease, etcetera. Yeah. So we
have ongoing research initiatives now
across most of major pharma.
Where the data coming be from our partners
forms that foundational piece powers a lot of
(14:49):
that research from phase 2 onward,
we're also
really focused on bringing those opportunities back into
our provider organizations. So right now, we have,
you know, some examples are. We've got, some
of our provider organizations our billing care pathways,
Life sciences companies, our own improving care adherence
and helping to engage patients in equity focused
care. It's We have other ones of our
(15:10):
provider organizations that are building rare disease regis,
one's focused on everything from
you know, inflammatory conditions to
maternal health,
all around, you know, at that broader space
of really connecting the data and connecting the
lives of patients.
And then we have others that are, leveraging
this data layer to start to do more
trials, with life sciences companies. Right? Thinking about
(15:32):
incredibly powerful, transformative
clinical trials that
real we really really should be available to
everyone. And that's a big push within our
company is the democrat amortization of research. Right?
How do we ensure from an equity equity
perspective
that research
reaches the communities.
Right? I was track the joke that we
don't need
more clinical trials.
(15:55):
Within the big academic medical centers. And the
truth is is that, you know, that's accurate.
We need community trials out. In we clinical
trials out the communities. We need
agents in rural locations, we need patients in
you, all over the country to be able
to have the same opportunities in the same
access to life saving intervention. So
we think about that from a big health
(16:15):
equity angle and bringing those pieces back and
empowering our
clinical partners. Our providers to really start to
accelerate
their foothold in the that world.
So it's not just data out its opportunities
and. Really, we do frame this as a,
common language of data that allows our provider
organizations to build
(16:35):
lasting
sustainable
relationships outside of their 4 walls,
As beautifully said, it sounds like, you know,
your mission is really to bring
or to shine a light rather on
areas of medicine in which data hasn't
historically
driven
research.
And to your point, I you know, there's
(16:57):
a lot of variability and how
health care is provided, a lot of variability
in how health care is accessed and having
think data from all of those realms ultimately
is incredibly valuable as we're structuring
trials and developing guidelines around proper care.
No. Appreciate that. Now. We're already working across
multiple pharma partners now
(17:17):
and helping get advance
Gi res search and a lot more coming
through now as we start to really hit
our stride in the space. Mh. So what
advice would you give to a a private
practice. That's looking to partner
with Omni health to really improve their data
and technology platforms. Yeah. I mean, I think
you know, the first... Up is realizing that
that data has the power to transform lives.
(17:40):
And if you really wanna see it at
the table, you need to have a data
strategy that involves
external data partnerships. I think for groups that
wanna partner, you know, our model is very
easy it's very strict straightforward. And
we're focused on doing right by our patients
our providers.
I think the most important thing in the
space is
is recognized that it's not easy. I think
(18:01):
there's a lot of hype around data and
real world data Everyone's really excited about it
in Gi world.
But being able to actually get that data
out at scale, not 1 of projects, but
actually sustainable engagements,
really being able to build those capabilities.
That takes
time and it takes experience.
And I think the advantage omni in the
space is that we've demonstrated that we can
(18:22):
do is at scale across multiple specialties now.
And out and are are ready to, you
know, let let that light shine in the
Gi space. And so we're really excited with
our initial groups that coming on, and we
have quite a few more now. That are
looking to join the platform, you know, that
be joining us in short order,
and that's gonna really allow us to rapidly
(18:42):
accelerate what happens in the Gi space,
But you know, having a veteran team that
already has the established relationships and that knows
how to scale this in a sustainable way
that protects patients is really critical. So we
welcome every conversation. We're here to help and
to help open those doors and help build
that data strategy in a way that's sustainable.
(19:02):
And and the guides by the principles
of
what we're all aiming for, which is really
to advance healthcare.
That's incredible.
What advice would you have for a young
person who is thinking of trying to craft
a similar career path aside from having to
invest? Did parents and divergence
you...
(19:23):
If you'd asked me years ago, if I'd
I've ever done this, I would have laughed
and said no.
Quite comfortable on my side of the... Being
on the other side of the table. But
at a certain point, I think you run
into a moments where you realize that
something is missing. And if you don't go
and build it,
it's not gonna get done right, that you
really need to take charge on that piece.
(19:45):
So I did. You know, I I burned
the ships site threw caution to the wind,
and I dove into this head first. And
I think if you've got the risk appetite
for it, I do encourage
young people to think about, even not even
young people. Even all the people. I mean,
if anything, when I started this company, part
of the reason that we could was because
I had years of experience. I as a
(20:06):
health system executive it was practicing physician as
a researcher.
You know,
almost 2 decades of of experience on that
side. So it's it's
that experience would allow me. Really understand what
I was doing. Has it opposed to being
yet another person who drove into healthcare care
and then step back and say, wow health
care is really hard. Yeah. It's hard of
living whole life
So I recognize and I understand the challenges
(20:29):
there, but I do encourage people that if
they have the risk appetite, there's so much
potential. There's so much good that can be
done, and our industry is 1 that is
constantly
at the cutting edge of more and more
breakthroughs, and there's a lot that we need.
So brilliant minds,
Yes, we need brilliant clinicians, clinicians, but we
also and brilliant researchers, but we also need
billion people advancing technology
(20:51):
so that, as an industry, we can get
continue to move forward around that that same
central premise of how do we save lives
and improve care for patients all over the
country.
Well said. How do you view some of
the
emerging technologies such as artificial intelligence as interfacing
with omni health? And do you view that
as something that will be accelerating what you're
(21:13):
currently doing? Yeah. It's it's interesting. Right? So
what are the bottlenecks in
the Ai space access? To clean deep data
that can actually fuel the large language models.
And so I'm in a really interesting position
where You know, today, we touch 78000000
lives
across all 50 states, by end of year
will be north of a hundred million lives.
(21:34):
Just a incredibly massive
platform
of data
that serves as a great layer of fuel
to be able to power,
the General of ai work in health care.
We're doing it from a position where we're
always focused on protecting patients. Right? Because there's
always risk, when you start to work around
health care data. We're a highly regulated
(21:55):
industry for that reason.
So I'm very focused on that piece we're
starting to announce some of the early partnerships
we have with companies that are doing incredibly
cutting edge Ai work that's transforming.
Safety and pharma, and clinical trials.
Right? These are the college companies that we
are putting our data behind so that we
can help support the next generation of
(22:16):
research and clinical care, and we'll see more
coming through in that front. So if you
are a company in this space in the
healthcare space and you're looking for data to
be able to fuel things that Are gonna
transform lives of patients. We come talk to
us. We'd love to explore whether we can
helps support that vision and whether we're the
right eye icon to be able to empower,
(22:37):
what you're building,
And where can we direct our listeners? Where's
is the best place for us to learn
more about Omni health?
So our website is omni 0MY health dot
com.
I'm easy to find on Linkedin, our website
easy to find.
Don't hesitate to reach out or
broad email address of join, J0IN at omni
(22:58):
health dot com is a partnership team.
We're always
welcoming up conversations. Whether you're a group that's
sits on data and thinking about how you
can actually start to really bring it out
its scale to change lives the patients or
you're a group that needs access to data.
Whether it's pharma med device, analytics companies, ai
companies,
the world is brought in health care and
(23:19):
data dry everything.
And and our job is to help connect
those dots for you. So, yeah, Don't hesitate
to reach out.
We're always here with health.
Doctor. Rowe, thank you so much for joining
us today. This has been a pleasure. Lisa
said thank you for having me.
Thank you for listening to the Gas broadcast.
Find new episodes through Apple, Google, Stitch, Spotify,
(23:40):
or wherever you get your podcast fixed. For
information about our hosts,
guests and supporters, visit gas broadcast dot com.
Produce by steadfast collaborative.
This podcast is for general, educational and entertainment
purposes only and should not be considered medical,
practice management, legal, investment, or other professional advice.
No 1 should act or refrain from acting
based on this podcast or without obtaining appropriate
professional advice.
The goal here is not just to turn
it into, you know, a source of revenue,
but also turn into fuel for innovation. And
(00:22):
so in that same light, we bring this
clean structured data back to our organizations. And
that means data that can go that can
power their Bi solutions. That can power their
research opportunities,
our data partners use this data and apply
for Nih grants. They use it to help
improve,
finding patients for clinical trials.
They use it for quality and operations metrics.
(00:42):
I when you name it. It's... At the
end of the day, for a practice, it's
your data.
Its data should work for you on multiple
levels. We focus on building out the external
worlds, and then we also wanna ring that
data back for you is feel so that
it can power the internal side.
Welcome to Gas broadcast presented by tissue cipher
from castle bios.
I'm your host, Doctor. Lisa Matthew.
(01:04):
My guest today is Doctor Mites Ra, Chief
Executive Officer of Omni Health.
The omni platform serves as a centralized resource
for healthcare stakeholders to participate in data sharing.
And research services at scale, fueling innovation where
patients need it the most.
I'm excited to speak with Doctor. Ra about
(01:25):
recent partnership with some of the nation's leading
private practice Gi groups and integrated delivery networks
to launch a set of real world, data
and evidence solutions for research.
Doctor. Ra, welcome to Gas Broadcast.
Thank you for some. Thank you so much
for having Lisa.
Well, we really like to start by getting
to know our guests. So Doctor Out, how
(01:46):
did you choose a career in medicine and
what led you to found Omni health?
That's a great question.
So I am a product of a very
interesting family. My mom was an Ob G,
and my father's an engineer. And I told
the story before. But as a child, they
both fought over whose footsteps I was gonna
(02:06):
follow in. My mom
constantly wanted be to become a surgeon. She'd
make me practice with needle drivers.
She'd made me practice,
you know, come to the office hospital and
and
sit there with her just like, absorb being
in the clinical environment, and then my father
would make me program
on computers and the evening after homework was
done. So It was sort of a constant
(02:27):
battle, and I, you know, initially, if you'd
ask my mom, she would say that she
won and because I, you, end up when
Med school becoming a emergency medicine physician
but now after,
having,
run a tech company for few years now,
my dad claimed that he was the winner.
And so really, you know, from the high
level line medicine.
I think what it boils down to is,
(02:50):
there's it's an industry where there's incredible potential
to drive change.
And it's an industry that also has
a ton of hurdles that it has to
try to deal with. And trying to
improve outcomes and really connect the dots
when it comes to how we can drive
partnerships across the larger industry. And so I
saw huge challenges.
(03:11):
Naturally, I was exposed to a ton of
it. I felt love at early age, and,
and really, that's that's what drove me into
the health space. And I would say
incredibly happy as a physician still a board
certified physician, still faculty at Stanford, but
I found it omni health out a frustration.
Where I was
you know, leading safety and a good chunk
of quality at Stanford, and I kept seeing
(03:33):
opportunities for data to drive improvement.
Particularly when you look at areas like rare
disease, inflammatory
conditions,
autoimmune conditions, oncology,
there was so much that was happening very
quickly in the space as we were building
out new treatments, new procedures,
could care was just advancing an incredible pace.
And data drives everything. And yet and on
(03:55):
the other side of that equation, it was
very difficult to get the data out at
scale. Our data was sitting siloed,
locked away was inc growing across organizations.
I used to kinda joke that if you've
seen the data coming out of 1 mark
see the day coming out of 1 myanmar.
And so in the back of my head,
the question was, well, how could we create
a national language of data? And how do
we do this at scale in a way
(04:15):
that represents
every patient, every provider, every geography,
how do we build a layer of data
that connects the country. And they can serve
not only as fuel for research, but also
be a point of connectivity a common language
if you will, across all the stakeholders, really
ig uniting us in that shared vision of
improving patient care, and that's where Omni came
(04:36):
from. A desire to see that at scale
to see a way that we can exist
in effectively a post Emr world,
connect that data and start to advance
the science
in ways that you know, previously
were long cumbersome are difficult to ascertain. And
then also
you know, thinking about it from the perspective
of how do we align this so that
(04:56):
it really directly benefits patients and providers.
So that's... You know, at the of the
day, this sort of long with that answer,
I guess, of how I came to found
Omni,
and which is now going to a National
data layer that were corrected about.
That's fantastic. It also seems like both your
mother and father, 1 in this regard. So
bravo to them.
(05:18):
So you started out connecting researchers providers in
dermatology and op?
Right. Can you tell us a little bit
more about how omni health is working within
those disciplines as well as what led you
to,
do the same now for gas.
Oh Yeah. It was really interesting. So dermatologist
1 of those areas where we started to
touch upon the huge need for a lot
(05:39):
of the autoimmune inflammatory conditions that exists in
dermatologist.
Not mentioned the oncology conditions, and there was
a ton of research happening in the space
for groundbreaking treatments that we're gonna transform lives
of patients who were dealing with these chronic
conditions, thinking about things like psoriasis,
and alopecia and hid
and
(06:00):
you know, and and and that was an
opportunity that we saw where the data could
really transform the lives of so many. And
so Der was our first word. Goal, and
we built out that national network that's now
best in class, and they're really, you know,
proud to say that over the last few
years,
a lot of the
latest and greatest
treatments and approaches
(06:21):
and and novel
care patterns that are developed around those conditions,
are are being built on omni data.
And so, you know, we we started with
dermatology, and then we looked through and we
said, okay. Well, we love this space, but
there's a whole wide world there's hundreds and
hundreds of
the disease areas where did we go next?
And so op was interestingly enough. It was
sort of a natural occurrence where we started
(06:42):
to come across. Op groups, we started looking
at the op data with our hospital systems,
and we saw, again, huge
opportunity with conditions from dry eye to glaucoma,
you know, all these retinal conditions, all these
ocular conditions that the data could drive so
much in the space.
And so we launched op... Serve our next
(07:02):
specialty. And we what we wanna do
says be really thoughtful about this. Right? Be
really focused as we expand from 1 specialty
to the next. And after we had the
proof, that not only could we do this
at scale, but that we were a mature
platform
that we were a platform that could really
bring value into the specialty. That's when we
said, okay. Well, now, you know, it's time
to expand again. And so gas neurology are
(07:23):
through vertical. And, you know, at this point,
we're well seasoned and well versed in how
to be able to connect those pieces, bring
that data together.
What's nice is that that I think the
Gi world is gonna benefit from the fact
that a, not only are rev veterans in
this space
and have an incredible network already. But b,
we already have these established relationships across the
larger world of pharma and biotech.
(07:44):
And so it's a natural progression for us
to be able to expand.
And bring that same value into the specialty
and bring that same transformative capability.
Yeah. That's incredible. I mean, it should that
as a company really matured and developed, and
are now ready to take on new challenges.
And I can completely under stand sort of
the natural overlap between,
(08:06):
your ventures with dermatology,
in particular, and now some overlap with, Gi
based diseases And and I'll say, you know,
this is our sixth year.
We've
you know, we're a seasoned veteran team that's
been in this space. And Many of my
team members have been in the pharma and
research space for 20 plus years. And that's
really how we built this company. We brought
(08:27):
all the veterans together. And we said, we're
gonna do this We're gonna do it right.
We're gonna do it effectively. This isn't
you know, putting our finger up in the
air and trying to figure out the path
forward. We're gonna do as we know this
space well.
And so that that benefit. Right? And and
when it comes to working with groups, you
know, work with hospital systems is 1 piece,
but being able to partner effectively,
(08:47):
with either,
sponsor backed, Ms episodes and roll ups or
privately health groups, that that experience right, a
partnership something we bring to the table where
we've been doing this for the about part
of a decade and really built these long
lasting strong relationships where we are helping those
organizations really trans... Form their presence
in the data and R d space.
(09:08):
Don't go. That is a perfect segue to
my next question, which is
So Omni Health recently announced a partnership with
4 of the nation's leading Gi practices.
So telus us more, how is Omni... How
is the Omni platform? Helping Gi practices provide
better care to their patients through data and
insights? Yeah. A great question. So you know,
first and foremost,
(09:30):
our initial focus with these groups is helping
connect them and their data into the water
world of R and d at scale. Right?
And this comes out of my experience as
a practicing physician or researcher where,
every time we were doing a research initiatives.
It looks like we're inventing the wheel. It
was always a 1 up
alone would come alexa sciences company with a
really interesting project. We would do that project.
(09:51):
And projects, you know, they're exciting They're interesting.
But they're not recurring revenue for an organization,
and they're not sustainable engagement.
And so Omni focus is a little bit
different. Think of it as the pipes, helping
these organizations take their foundational data, clean its
structuring. Do identify a token it, turn it
into research, and regulatory grade data and evidence.
(10:14):
And do it a way to protects patients,
that's focused on patients and research right. And
then when we bring that data out and
help them partner with larger, let's say, life
sciences is entities. We help them do it
at scale. And that means lasting
multi year
recurring right recurring relationships where they're powering
the early phases of research work through multiple
(10:36):
stages. Right? They're actually
helping drive and move some of these
products that are at a molecule level all
the way through to actually getting them into
launch safely,
effectively
getting them deployed to the space and transforming
the Gi world. And what I want for
our groups is for them to be at
that forefront.
For them to be driving the narrative to
(10:57):
be at the table in really transforming the
specialty, and that's that's really the root of
where Omni sits a company is really empowering
our provider organizations to step into that world
and to do it at the the front
of the table.
I'm curious in addition to data
being used to help fund or to contribute
(11:18):
to important new research ventures.
Is there a mechanism by which Omni is
able to provide data
insights back to the practices?
Of course, our model is very simple for
our provider organizations. We're we're no cost to
them. We are investment in the relationship. Is
taking that data in, and in its raw
form, cleaning its structuring it identifying and token
(11:41):
and turning it into that research great gold
that regulatory regulatory grade goals. Alright? And that's
our investment list. And we do we do
it fast. We can,
new new organizations as they join our platform
in a matter of weeks are up and
running.
Then once they're up and running, it's sort
of twofold. 1, when we build out R
and D relationships, powering the best patients centered
(12:01):
research.
Across the biggest life sciences players.
We we have a royalty model where we
bring
revenues back to our provider organizations. And the
reason we do that is sort of twofold
fold. 1,
that's the best way to get that investment
back into benefiting patients. Right? Our our
clinical groups have done everything from taking the
(12:22):
data and
using that revenue to reinvest into their It
and r and D departments,
to using it to pay for
development costs to using it to cover their
had nursing salaries for some more hospital systems
are quite, you know, difficult for them to
manage. And so this is a novel source
of revenue for them, that helps them reinvest
(12:44):
in their practices and their patients.
It's also an asset that every organization is
sitting on that has little liquidity
And so the goal here is not just
to turn it into, you know, a source
of revenue, but also turn into fuel for
renovation. And so in that same light, we
bring this clean structured data. Back to our
organizations. And that means data that can go
that can power their Bi solutions. That can
(13:05):
power their research opportunities.
Our data partners use this data to apply
for Nih grants they use it to help
improve,
finding patients for clinical trials.
They use it for quality and operations metrics
to when you name it. It's at the
end of the day for a practice, it's
your data. Its data should work for you
on multiple levels. We focus on building out
(13:25):
the external world, And then we also wanna
ring that data back you is feel so
that it can power the internal side. And,
you know I think the R d world
is just a starting point. We're seeing a
lot of our groups now. Try to use
data at to power of large language models
and secure compliant way to start thinking about
it as advanced analytics capabilities. Some are starting
to look at it for value based care
conversations with payers and self employers. And so
(13:47):
there's a ton of potential here. We wanna
unleash and unlock that data for you so
that it can serve as collaborative
jewel.
I think it's incredible. And I think it
really highlights how
how valuable data has become. And how with
the right platform,
up using that data can effectively improve the
(14:07):
lives of patients,
practitioners,
and researchers simultaneously.
I think this is this is really incredible
work. No, absolutely. And thank you so much
that. Appreciate the kind words.
So can you tell us more about how
Omni connects the providers it works with 2
research and development efforts? I know we've kind
of touched on this already.
(14:28):
But I am curious if you could give
any, you know, real world examples about how
Omni health has played a role in Yeah.
And feel with inflammatory bowel diseases or short.
Bowel syndrome, celiac disease, etcetera. Yeah. So we
have ongoing research initiatives now
across most of major pharma.
Where the data coming be from our partners
forms that foundational piece powers a lot of
(14:49):
that research from phase 2 onward,
we're also
really focused on bringing those opportunities back into
our provider organizations. So right now, we have,
you know, some examples are. We've got, some
of our provider organizations our billing care pathways,
Life sciences companies, our own improving care adherence
and helping to engage patients in equity focused
care. It's We have other ones of our
(15:10):
provider organizations that are building rare disease regis,
one's focused on everything from
you know, inflammatory conditions to
maternal health,
all around, you know, at that broader space
of really connecting the data and connecting the
lives of patients.
And then we have others that are, leveraging
this data layer to start to do more
trials, with life sciences companies. Right? Thinking about
(15:32):
incredibly powerful, transformative
clinical trials that
real we really really should be available to
everyone. And that's a big push within our
company is the democrat amortization of research. Right?
How do we ensure from an equity equity
perspective
that research
reaches the communities.
Right? I was track the joke that we
don't need
more clinical trials.
(15:55):
Within the big academic medical centers. And the
truth is is that, you know, that's accurate.
We need community trials out. In we clinical
trials out the communities. We need
agents in rural locations, we need patients in
you, all over the country to be able
to have the same opportunities in the same
access to life saving intervention. So
we think about that from a big health
(16:15):
equity angle and bringing those pieces back and
empowering our
clinical partners. Our providers to really start to
accelerate
their foothold in the that world.
So it's not just data out its opportunities
and. Really, we do frame this as a,
common language of data that allows our provider
organizations to build
(16:35):
lasting
sustainable
relationships outside of their 4 walls,
As beautifully said, it sounds like, you know,
your mission is really to bring
or to shine a light rather on
areas of medicine in which data hasn't
historically
driven
research.
And to your point, I you know, there's
(16:57):
a lot of variability and how
health care is provided, a lot of variability
in how health care is accessed and having
think data from all of those realms ultimately
is incredibly valuable as we're structuring
trials and developing guidelines around proper care.
No. Appreciate that. Now. We're already working across
multiple pharma partners now
(17:17):
and helping get advance
Gi res search and a lot more coming
through now as we start to really hit
our stride in the space. Mh. So what
advice would you give to a a private
practice. That's looking to partner
with Omni health to really improve their data
and technology platforms. Yeah. I mean, I think
you know, the first... Up is realizing that
that data has the power to transform lives.
(17:40):
And if you really wanna see it at
the table, you need to have a data
strategy that involves
external data partnerships. I think for groups that
wanna partner, you know, our model is very
easy it's very strict straightforward. And
we're focused on doing right by our patients
our providers.
I think the most important thing in the
space is
is recognized that it's not easy. I think
(18:01):
there's a lot of hype around data and
real world data Everyone's really excited about it
in Gi world.
But being able to actually get that data
out at scale, not 1 of projects, but
actually sustainable engagements,
really being able to build those capabilities.
That takes
time and it takes experience.
And I think the advantage omni in the
space is that we've demonstrated that we can
(18:22):
do is at scale across multiple specialties now.
And out and are are ready to, you
know, let let that light shine in the
Gi space. And so we're really excited with
our initial groups that coming on, and we
have quite a few more now. That are
looking to join the platform, you know, that
be joining us in short order,
and that's gonna really allow us to rapidly
(18:42):
accelerate what happens in the Gi space,
But you know, having a veteran team that
already has the established relationships and that knows
how to scale this in a sustainable way
that protects patients is really critical. So we
welcome every conversation. We're here to help and
to help open those doors and help build
that data strategy in a way that's sustainable.
(19:02):
And and the guides by the principles
of
what we're all aiming for, which is really
to advance healthcare.
That's incredible.
What advice would you have for a young
person who is thinking of trying to craft
a similar career path aside from having to
invest? Did parents and divergence
you...
(19:23):
If you'd asked me years ago, if I'd
I've ever done this, I would have laughed
and said no.
Quite comfortable on my side of the... Being
on the other side of the table. But
at a certain point, I think you run
into a moments where you realize that
something is missing. And if you don't go
and build it,
it's not gonna get done right, that you
really need to take charge on that piece.
(19:45):
So I did. You know, I I burned
the ships site threw caution to the wind,
and I dove into this head first. And
I think if you've got the risk appetite
for it, I do encourage
young people to think about, even not even
young people. Even all the people. I mean,
if anything, when I started this company, part
of the reason that we could was because
I had years of experience. I as a
(20:06):
health system executive it was practicing physician as
a researcher.
You know,
almost 2 decades of of experience on that
side. So it's it's
that experience would allow me. Really understand what
I was doing. Has it opposed to being
yet another person who drove into healthcare care
and then step back and say, wow health
care is really hard. Yeah. It's hard of
living whole life
So I recognize and I understand the challenges
(20:29):
there, but I do encourage people that if
they have the risk appetite, there's so much
potential. There's so much good that can be
done, and our industry is 1 that is
constantly
at the cutting edge of more and more
breakthroughs, and there's a lot that we need.
So brilliant minds,
Yes, we need brilliant clinicians, clinicians, but we
also and brilliant researchers, but we also need
billion people advancing technology
(20:51):
so that, as an industry, we can get
continue to move forward around that that same
central premise of how do we save lives
and improve care for patients all over the
country.
Well said. How do you view some of
the
emerging technologies such as artificial intelligence as interfacing
with omni health? And do you view that
as something that will be accelerating what you're
(21:13):
currently doing? Yeah. It's it's interesting. Right? So
what are the bottlenecks in
the Ai space access? To clean deep data
that can actually fuel the large language models.
And so I'm in a really interesting position
where You know, today, we touch 78000000
lives
across all 50 states, by end of year
will be north of a hundred million lives.
(21:34):
Just a incredibly massive
platform
of data
that serves as a great layer of fuel
to be able to power,
the General of ai work in health care.
We're doing it from a position where we're
always focused on protecting patients. Right? Because there's
always risk, when you start to work around
health care data. We're a highly regulated
(21:55):
industry for that reason.
So I'm very focused on that piece we're
starting to announce some of the early partnerships
we have with companies that are doing incredibly
cutting edge Ai work that's transforming.
Safety and pharma, and clinical trials.
Right? These are the college companies that we
are putting our data behind so that we
can help support the next generation of
(22:16):
research and clinical care, and we'll see more
coming through in that front. So if you
are a company in this space in the
healthcare space and you're looking for data to
be able to fuel things that Are gonna
transform lives of patients. We come talk to
us. We'd love to explore whether we can
helps support that vision and whether we're the
right eye icon to be able to empower,
(22:37):
what you're building,
And where can we direct our listeners? Where's
is the best place for us to learn
more about Omni health?
So our website is omni 0MY health dot
com.
I'm easy to find on Linkedin, our website
easy to find.
Don't hesitate to reach out or
broad email address of join, J0IN at omni
(22:58):
health dot com is a partnership team.
We're always
welcoming up conversations. Whether you're a group that's
sits on data and thinking about how you
can actually start to really bring it out
its scale to change lives the patients or
you're a group that needs access to data.
Whether it's pharma med device, analytics companies, ai
companies,
the world is brought in health care and
(23:19):
data dry everything.
And and our job is to help connect
those dots for you. So, yeah, Don't hesitate
to reach out.
We're always here with health.
Doctor. Rowe, thank you so much for joining
us today. This has been a pleasure. Lisa
said thank you for having me.
Thank you for listening to the Gas broadcast.
Find new episodes through Apple, Google, Stitch, Spotify,
(23:40):
or wherever you get your podcast fixed. For
information about our hosts,
guests and supporters, visit gas broadcast dot com.
Produce by steadfast collaborative.
Popular Podcasts
24/7 News: The Latest
The latest news in 4 minutes updated every hour, every day.
Dateline NBC
Current and classic episodes, featuring compelling true-crime mysteries, powerful documentaries and in-depth investigations. Follow now to get the latest episodes of Dateline NBC completely free, or subscribe to Dateline Premium for ad-free listening and exclusive bonus content: DatelinePremium.com
The Clay Travis and Buck Sexton Show
The Clay Travis and Buck Sexton Show. Clay Travis and Buck Sexton tackle the biggest stories in news, politics and current events with intelligence and humor. From the border crisis, to the madness of cancel culture and far-left missteps, Clay and Buck guide listeners through the latest headlines and hot topics with fun and entertaining conversations and opinions.