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0:00
Hello, my name is Rich Gliklich,
I'm CEO of OM1,
a healthcare data and
artificial intelligence company
that's focused on
personalizing healthcare.
Today I'm going to
be speaking about
using artificial intelligence
with medical devices.
0:17
The goals I'm going
to try to cover
really boil down to these
three bullet points.
The secret to AI and
healthcare, to me,
is high-quality,
clinically rich,
and representative data.
I'll explain why.
We'll talk about using AI to
find patients and
select treatments.
I'll post some examples
from patient identification
for the use of AI for
value-based care,
as well as shared
decision-making.
0:41
There are two emerging areas
of artificial
intelligence that we
think about with the
greatest applicability
to the medical device space.
The first, we refer to as
patient identification
and segmentation.
What this really means is
finding and targeting
patients who are most
likely to have a
particular diagnosis,
and to benefit from therapy.
The second, that we'll
spend less time on today,
is really about the area of
clinical decision-making
and its application
to value-based care.
This centers around both being
able to identify the
riskiest patients,
so that they can
be accelerated in
the path to medical
device-related treatments,
as well as being
able to predict,
and describe to them,
what their potential
outcomes might be.
1:24
One point I'm going
to come back to
over and over again, is while
artificial intelligence is
an incredibly powerful tool
to be able to develop models
that can be used in these ways,
really, it's the data underlying
the tool, that powers it.
