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hello hello welcome to solving with AWS
solutions your deep dive into
architectures built by AWS that are
ready to deploy instantly in the cloud
I'm Rob your host joined with Tom a man
who prefers fast food because it's
serverless
hello everybody today we are looking at
AI powered health data masking solution
how to enable healthcare organizations
to identify and mask sensitive data in
images or text we know that healthcare
companies constantly face the challenge
of having to manage patient data across
various applications while also meeting
compliance obligations this solution
automatically masks sensitive health
data for use in downstream applications
let's get into it so tom talked to me
about AI powered health data masking
certainly this is the landing page for
the solution we have a brief overview
architectural diagram linked to the
implementation guide which has full
details of how the solution works cloud
formation templates so you can spin it
up in your own account and the source
code is available in that's nice so I
could download it and customize it for
my own needs correct so talk to me about
the architecture diagram please so yeah
let's take a closer look this is the
overall architecture essentially what
we've built here is an API that allows
customers to pass in images and texts
those get sent to our machine learning
services and we're able to extract and
hide mask sensitive information I don't
know much about AI or ml can I still use
this solution you certainly can the two
services that we're using or Amazon
recognition and I was in comprehending
both of those on manage services all
right so I see the architecture diagram
talks about comprehend medical how does
that differ from comprehend certainly
its comprehend Medical has been trained
or models specific to pH I what is pH I
that's protected health information okay
so sensitive information that you might
find in unstructured texts within images
and text files so specific to the
medical industry then correct yeah all
right so talk to me about what all these
lambda functions are doing certainly so
as I said we could we're analyzing
images and texts
text files if we start with images the
image itself you would upload to s3 and
then through this API we can do a number
of things we can make a call to that s3
bucket so that we can get a signed URL
from the image we're then going to pass
that to recognition and recognition is
then going to look for text within that
image okay from there we can then tap
past that information over to comprehend
medical and comprehend medical can then
identify anything that we consider to be
pH I okay cool cool and as a result you
can get back that image with all of that
text nice alright so outside of imaging
what are we doing for the text ask for
the text it's a little simple we're not
we don't need to recognition in this
instance we're just taking the text
passing it to comprehend and comprehend
will then identify anything that's in
there that we consider to be sensitive
now can all these functions happen at
the same time or do they have to happen
serially yeah if this this solution will
scale so you could upload multiple
images make multiple API calls at the
same time so you'd be able to pass
through a whole archive of images or
text files
cool do we have any sort of a way to
test this out of the box we do the
implementation guide which I'll take you
to right now there's a section in the
guide that explained how you can test
the API we have some dummy text that you
can pass in and we have some images as
well that you can use to just we use to
demonstrate but gives you a better
understanding of how to interact show me
some of those images please so this is a
image before it's been through the
solution all right see it's an x-ray and
we have some unstructured text within
the image that's in the actual images
it's in the image itself and that's what
we need to look at so once we've passed
that through this solution this is the
result that we get back so it's actually
redacted and masked at pH I everything
that we've considered to be sensitive
information that's pretty cool thanks
for walking us through the solution
you're welcome thanks for joining us and
thank you Tom for your insights on AI
powered health data masking identifying
and removing sensitive health data can
be challenging but with this solution
healthcare companies can perform data
masking with ease go check out AI
powered health data masking and all our
other solutions on our AWS solutions
webpage see you there
you
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