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- Hospitals are producing so much data
that it is extraordinarily difficult
to provide the analytics of it
so that we can actually
benefit patients going forward.
- We're collecting a lot more data
on these patients, but we're
only scratching the surface
of how that can be used in the sense
of decreasing critical illness.
There are always better ways
for us to improve the outcomes.
- And so, artificial
intelligence allows us
to take information from
tens of thousands of patients
in order to predict what's going to happen
to this particular patient
and to prevent it from happening.
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The Bronx is a very interesting community of people.
It is the most vibrant
urban environment, I think,
in the United States.
But it also happens to be
the poorest urban county
in the country.
For a system like Montefiore's,
we have to be able
to deliver care extraordinarily efficiently,
because the amount that we get paid to do that
is very, very low relative to the costs
of delivering that care.
- The reality is patients in the hospital
are much sicker than
10, even 20 years ago.
The most severe type of
respiratory failure is ARDS
and upwards of 40% of the patients with ARDS
may not survive the hospitalization.
These patients often need ventilators.
They often need to be in the
ICU for long periods of time.
What we wanted to be able
to do was to find a way
of detecting patients
who may be at high risk
of developing respiratory failure.
- The way to do that is the use of data
that exists in thousands
and thousands of patients
to predict who's at risk and to intervene
to prevent it from happening.
- I'm finding patterns in the data,
finding patterns that otherwise
are much harder to find,
but we're using the data to
tell us where those objects are,
instead of trying to
look for them manually.
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- We are using machine learning
and artificial intelligence
to build the system
that's always watching.
We call it PALM, Patient Centered
Analytic Learning Machine.
Our vision is to present PALM
as the nervous system of this institution.
- So, it's tricky to
detect respiratory failure.
Respiratory failure can
develop slowly and insidiously.
- So what we have designed PALM to do
is that it collects different
kinds of information.
- Someone's heart rate,
their blood pressure,
their oxygen saturation,
changes in their physiologic vital signs
on a second-by-second or
minute-by-minute basis
has implications for where they are going.
- PALM's job is to calculate the risk
for the patients to have
either respiratory failure
or whether or not this
patient is at risk of dying.
- There is an overwhelming amount of data
that we have to deal with in healthcare.
- The only way we're gonna
be able to analyze it
is through the use of machines.
- So we have found a lot of reasons
to work with Intel because
they want to not only imagine
the future but also shape
the future of healthcare.
We are not only using their
engineering powers today,
we are also using the cluster of servers
as underpinnings of our technology.
It's also having a partner to imagine
what is possible in the future.
Our algorithm outperforms any
similar model that exists.
Not only we ended up with an algorithm
that can predict respiratory failure,
but also it can predict sepsis.
We have data that shows
that is has decreased
the length of stay overall
as well as within the ICU.
We see it as the future of healthcare.
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Our work, it is all about providing
the best care possible
to the Bronx population.
- The thing that's gonna distinguish
healthcare institutions
that are extraordinary
from other kinds of
healthcare institutions
are gonna be the ability to recognize
the information that they're generating
and to use that information
productively for patient care.
The ultimate goal of
this kind of technology
is going to be in, essentially,
the cost and the efficiency and the safety
of the care that we deliver.
- Early treatment is really
key in improving outcomes.
What excites me about this
project is its possibilities
in the sense of decreasing
critical illness.
What we wanna be able to see
is patients continue to live their lives
the way that they want to.
- Our job at Montefiore is to pioneer
so that others can take
a look at what we've done
and say yes, I can think
of ways to apply to things
that Montefiore hasn't even done yet.
This is the next evolution
of where we're going.
If you can provide the
information to prevent
an adverse outcome, you'd be foolish
not to be pursuing that avenue.
