HEATHER CARTWRIGHT: Hi, everyone.
My name's Heather Cartwright,
I'm the Vice President of Health Life Sciences here at Microsoft.
We are so excited to have you here today and to welcome
you to the Health and Life
Sciences Cloud and Data training.
We've designed this training
to help you learn a little bit more about our products,
why we're building them, but most importantly,
to help you partner with
us and to learn together how we can better
create and deliver some of the solutions and
services to our collective customers
in the healthcare industry.
As we get started today,
there's so many things you're going to be
covering over the next few days,
and we really want to make sure that we make this as
engaging for you and as useful as possible.
So please, as you go through the next several courses,
don't hesitate to reach out to us to ask questions,
to tell us what we're missing, and most importantly,
make sure that you know how we can
support you best as our partners.
As we kick off, I want to
start really with one of the most important things,
and that's the mission, why we're here.
Our Health and Life Sciences team at Microsoft
is united in one mission,
and that's empowering people and organizations with
technology to positively transform
the health of humankind.
We want you to do more,
but we want you to do more,
that really helps to transform the healthcare ecosystem.
This is what drives us every single day,
and it's an honor to be here
with all of you who I know share the very same passion.
As we look forward in health,
it's important to look backwards
a little bit and make sure that
we're doing the right thing and
certainly the last two years have given us
so much clarity into
some of the key trends that are really
transforming Healthcare across the globe.
Foundationally, we're continuing a historic shift
to the Cloud, scale,
and the global footprint of the pandemic,
really made it clear that Healthcare,
the treatment of patients,
is no longer just a local event.
The Cloud has really enabled us to accelerate data,
collaboration and compute in ways that
are really transforming how we deliver patient care,
how we diagnose, and how we bring things to market.
For sure, one of the ways we've seen this
is a rapid rise of virtual care.
So many diverse modes of care
have really entered the scene.
We've seen it positively
transform how people are getting treatment today.
It's moved from experimentation and kind of one of
channels to really being expanded at scale,
bringing in new types of devices,
new ways that were expanding across that virtual to
physical continuum in Healthcare
and we are only at the forefront.
Every day we see new layers of innovation
and medical technology devices that are coming in here.
It's a super amazing space to be in.
But most importantly, what we
saw over the last year was scientific clarity,
that precision health is the future.
The speed at which interoperability and the power of
Cloud computing began to give us
a 360 degree lens of our patients.
It's really amazing.
It's brought a new paradigm for us as
health technologists to start
building services and solutions
that are going to receive all of this,
this AI and to expand the way machine learning is
incorporating itself into
the forefront of personalized health.
There's been a lot of questions about AI and
health, is it real?
Is it theory? Well, the data is in and 75 percent.
75 percent, that's a big number of
health organizations will have
a formal Cloud strategy in place by 2022.
Microsoft is actively
partnering with health organizations,
with their own customers to really help them
scale for the future of AI and
it's so rewarding to see how this is
leading up to help everybody do more in Healthcare.
Just in the last year,
when you think about things like ambient computing that
grew by five percent in just one year,
by 2024, that number is going to jump to 40 percent.
40 percent of health organizations will have
embedded conversational AI in their ecosystem,
and 25 percent of them will start
interacting with their EHR systems by voice.
That is phenomenal growth
about publishing research papers in 2020,
a million new papers,
that's 4,000 a day were published in PubMed.
That is incomprehensible for a human to
query all of those papers in
a single year and that's where AI can
come in and provide powerful tools.
Whether you're pulling research paper
to augment a clinical study you have ongoing,
or whether you're using it to help diagnose
a patient and you want to see relevant papers,
AI can put the right data into
the hands of the people that
need it and things like that where we start to see
it expand are so incredibly exciting.
How do we partner together?
Well, one of the big things to understand is
the twin engines that are
currently driving Healthcare at Microsoft.
If you think about it on the two sides,
one is really our Health Life Sciences Cloud
and Data team and that's a lot about what we're going to
talk about over the next few sessions here of
how we bring health data into the Cloud.
What are some of the platform tools that Microsoft
has to make that easier for you
as our partner using
Azure Healthcare APIs to bring in structured data,
to bring in Med Tech device data,
to bring in genomic data,
imaging data, organize it and unify
it so that you can run on the other side much faster?
When your data is all organized in open standards,
you can then start to leverage some of
the very powerful platform tools we
have for AI capabilities and solutions,
things like the Azure Health Bot,
things like Text Analytics for Health.
At the end of the day, you can leverage
these two engines to search hard what you're
doing with your customers and
hopefully go faster and make things a lot easier.
If you dig down a little bit,
it's really about pioneering and
we do that through our partners.
Like you, we love innovation
and Health and Life Sciences and we've been
so humbled and honored that Microsoft continues to
lead and be recognized for
pioneering some of these applications of AI.
But the only reason we're able to do that
is by partnering together with folks
like you and so together
we look to really drive precision
medicine workflows to propel some of
the evidence based clinical research
that's happening right now,
but ultimately deliver better insights from
data and really improve patient outcomes.
That's what it's all about. Some of
the things that you've seen from us already,
one of the first solutions
that you've seen in the Microsoft Cloud for
Healthcare is one that lights up our provider segment.
It leverages heavily lot
of the tools that we have in dynamics,
and it starts to integrate some of
the pieces across the Microsoft stack.
How we brought that to market is
some of the tools that you may be using already
and some of your solutions really creating
composable blocks of key areas in
the provider segment that
we know are important to our customers.
Things like personalized care, patient insights,
creating virtual health pipelines
or operational analytics in a hospital environment.
Again, these are all focused is
our first start in the provider segment.
There are so many more places that we can
take this but what this
does is gives you a charter of how we're going
to continue to evolve our platform.
These composable pieces that you can use singly or
together or augmenting some
of the existing solutions you have,
there's a lot of ways to put these into
an existing customer workflow, but at the end of the day,
these are meant to really light
up some of the things that we see
a large swath of the industry
already using so you don't have to build them.
You can simply build on top of them
and move faster with your end solutions.
But more importantly than just the solutions is really
the foundation and I
want to spend up just a little bit of
time talking about where it all begins,
because the foundation of the Microsoft Cloud
for Healthcare is
the tools and technology to
bring that data into the Cloud.
In August of 2021,
we announced a public preview of
the Healthcare API and that's really where it all begins.
The ingest persistent management
of protected health information in the Cloud.
We've created purpose built technology and
specifically for PHI that's
what we're going to talk about over the next few days,
whether you're dealing with clinical data from labs,
biometric data from Med Tech devices,
imaging, structured, unstructured data sets,
it all comes together in
the Cloud and we really work to try and map that
around the open source frameworks of
FHIR and DICOM because that means
when you bring your data in
such a future looking way that's inter-operable,
you can then work from that foundation to light up
multiple pathways across the Cloud.
If you think about how we're
doing that and how we're driving future innovation,
we think about it just like this.
It's actually quite simple.
You've got data points,
whether they're Cloud based or on-
prem that are your systems of record.
We want to build the tools to
organize that real world data,
bring it into the Cloud so we
can use that to create real world evidence,
artificial intelligence, digital control arms.
However, real world evidence take shape and
form for your business and give
you the tools then to pump it back into that front end
and take real world action on that data.
There are several workflows that can be lit up here and
we continue to work them around this circle and as we do,
we think about what
technology might be missing in our platform.
How do we need to let up our partners?
Who are the partners that can help us
showcase and validate some of
these workflows and we build these tools to
make it easier to work with data and build the future.
As you spend the next few days,
get engaged, challenge your trainers,
ask questions, reach out to
the team here at Health Life Sciences at Microsoft.
But most importantly, we hope
you take away learnings from our platform.
You get excited about building a future of Healthcare,
and we're super excited to be here with you
and partner for the future.
Thanks everyone.