WEBVTT

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MICHAEL ROSE: Just
thanks a lot, Steve,

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for filling us in
on this agenda.

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We thought it was important
today to get on this agenda,

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because this group, the
Healthcare Business Action

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Group, has been together
for 18 months or so.

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And we're actually
at a point now where

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we're developing some
business requirements

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and moving it onto the Hardware
and Software Action Group

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for some guidance.

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And some of our colleagues here
that are going to talk today

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are going to get into
some of the details

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around various areas we think
we can use some research help.

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And clearly, as
an industry, this

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is one area that we're
starting to recognize where

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we do need to start
reaching out and getting

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some direct help from you all.

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So we thank you for
the opportunity today

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to talk to you.

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And hopefully, this will
be an ongoing dialogue

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that we entertain
with this group.

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Well, I though we'd just do a
quick round of introductions.

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In addition to me, we have
Bob Celeste from EPCglobal

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who's the director of the
business action groups,

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and he's responsible
for facilitation

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of the business action groups.

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Ted Ng, who's a director
with McKesson, in spite

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of what it may
say in the agenda.

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I don't think, Ted, you've
gotten the promotion yet,

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but maybe next week to the vice
president and board member.

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But hopefully, that'll
happen next week, Ted.

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But it's nice to know, you go to
Cambridge, you get a promotion.

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And Chuck Schramek, who
is with EPCglobal now,

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but he's actually on loan
from Johnson & Johnson.

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And about a year
or so ago, J&J, we

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took we took a decision
that we thought

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it was very important to help
the development of industry

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standards.

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So we graciously let
Chuck go to EPCglobal

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to help facilitate this
development of standards

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in the health care industry.

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So as you see on
the agenda here,

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Bob's going to give us
an overview to what's

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been going on within the BAG
the Healthcare & Life Science

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Business Action Group.

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Chuck is going to talk
around item-level tagging.

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We had hoped to have
Tom Pizzuto here today,

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who actually was our member from
the Healthcare & Life Science

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group from Wyeth who was
our chairman of that group.

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But Tom couldn't get up here
because of business reasons.

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Ted's going to cover
pedigree and the update

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around messaging
around the pedigree.

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And then we'll certainly
entertain any questions.

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So we'll all participate
in the panel discussion.

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I just thought maybe I would
touch on a couple of points

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here.

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Why are we doing this?

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It's not like fast-moving
consumer goods,

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where you've got Walmart
and Target saying you must

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and the Department of Defense
coming out with mandates.

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The reason why we're
very interested in this

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is because of some of the
regulatory requirements that

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are starting to emerge.

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So we had the FDA back in 2004
that issued some guidelines

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around widespread adoption
around RFID at the item level

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to begin tracking
and tracing products.

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But the reality is, the issue
that we're really dealing with

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is patient safety.

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This is an issue that this
industry takes very to heart,

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because frankly, we're
all affected by it.

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We want to ensure that the drugs
and advices that you receive

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are genuine products.

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We don't want to
go down the path--

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and clearly you all
understand the issues

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that we could encounter if
counterfeit products are

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out there.

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So we're very, very
concerned about this.

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So we're also responding
to the movement

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within the states, where
they're adopting what are

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called pedigree regulations.

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Right now, we've
got a large number

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of states that are moving
in this particular area,

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and this requires chain
of custody tracking

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of the ownership of products.

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And as a result,
both the FDA and--

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well, the FDA particularly
feels that this

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could be a key element to the
track and trace of products.

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So the movement within the
states and the FDA, we thought,

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was very important to be able
to collaborate with them to show

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some movement in the
industry with the development

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of our standards.

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But this is not just
a US issue, and there

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are some other motivations
that are going over in Europe--

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particularly
Belgium, Italy, and I

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know we've seen some movement
in some other countries

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as well, where they're expecting
serialization of items.

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Now, to be very clear,
Belgium and Italy,

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they're not expecting RFID
to be applied to a product.

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All they're asking for is
serialization of that item--

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mass serialization.

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And the movement within
Europe is primarily

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driven because of
pharmacy fraud.

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That's the reason why they're
looking for serialization

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of items, because
they want to know when

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a particular
product is dispensed

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that gets reimbursed and
only for one time, not

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multiple times.

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So these are some of the
emerging regulatory drivers

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that we're starting to see
within the pharmaceutical

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industry.

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This is a model that
the FDA'S proposed,

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and we keep this in mind as
we continue our discussions.

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And I think this
is very important.

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It actually fits with a
lot that was said earlier,

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by the other industries
that presented today of,

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to really enable safe
and secure supply chain,

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you need to be able to
track and trace product.

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But you also need to be able to
authenticate product as well.

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So in here--

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I've got a bit of a build here.

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But to move us along, we
think it's very important

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that authentication is
needed, to be able to ensure

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that the product is genuine.

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That's when it becomes
a foundational element

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for any track and trace system.

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Clearly, the pedigree allows us
to be able to monitor and track

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that chain of custody, and
changes as that product moves

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through the pipeline.

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So when you look
at authentication,

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there's also a couple of
different elements of that.

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We're looking at the
product identity,

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but we're also looking at
the physical characteristics

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of the product as well.

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So it's not simply does it have
an ID number, because if you

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think of RFID at
its basic element,

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and mass serialization
at the basic element,

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we've been able to identify that
package and the number that's

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been assigned to that package.

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What you don't know are about
the contents of the package.

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Was it potentially tampered
with, things like that.

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So that becomes gets
us more into the areas

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of physical features.

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Certainly in the
future, it would

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be nice to see if RFID could
play a role as a method

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to ensure that the product
has not been tampered with.

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But right now, in its current
incarnation, it cannot do that.

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But we think over
time, it would be

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nice to see what
role RFID could play

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there to ensure that the
product has not been tampered.

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On pedigree, we talk
about track and trace.

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So where is the product
and where is it headed,

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and where was the product.

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So it's the element of
looking where it is, but then

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also being able
to look backwards.

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And that's a very
large issue for us.

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Our supply chain is not directly
from manufacturer to retailer.

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There is a distributor
in the middle there,

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and there can also be
secondary distribution as well.

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So what you find
is our supply chain

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can be a bit complicated when
you start factoring in also

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returned goods.

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And the retail pharmacy may not
ship those returned goods back

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to the distributor who
originally distributed it

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to them.

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So you get into some very
complicated situations

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to figure out where the product
was and from whence it came.

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So as we conducted our work
over the last 18 months,

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this is the base
model that we've

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been working with
and trying to develop

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some specifications for our
industry based upon this model.

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So with this, I'm going
to turn over to Bob,

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after an intro of
what's driving industry.

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And Bob's going to talk about
the actions within the HLS BAG

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and how we've organized
our efforts and some

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of our current activities.

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So Bob?

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[APPLAUSE]

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BOB CELESTE: Thanks, Mike.

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So I just wanted to
give an overview of why

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health care is looking at RFID.

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Basically, it's to form the
safe and secure supply chain.

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So you're seeing things up
here about item-level tagging,

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electronic pedigree, track and
trace, product authentication.

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And the group actually
has a very regimented way

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of going through this--

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of developing the
capabilities that they'd

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like-- the scenarios, the
use cases, and then any

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variants on those use cases.

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Our first capability
that we started with

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was pedigree management.

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And as Mike talked
about, that was primarily

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driven through the regulations
that the industry had.

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So I'm actually going to spend
most of my time on this slide,

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and I'll give you a
second to soak it in.

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We're hoping that the Auto-ID
members in the audience

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will take a look at some
of these checkmarks.

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These are areas that we feel
that Auto-ID can help us out

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with.

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Basically, this slide is
broken into a few areas.

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The blue areas is our structure.

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So for each one of these blue
areas, there's the co-chairs,

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and they all report up
into the tri-chair area.

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So you see the strategy work
group, information, technology,

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R&D, and process work groups.

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Last year, when we
looked at things

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like pedigree management, one
of the things we realized was--

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and we've talked about a
lot today with security,

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and the requirements
are pretty clear.

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The people in the supply
chain, and sometimes customers,

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would need to read
and write the tags.

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The bad guys don't
need to do that,

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and that's our requirement.

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To that point,
because we don't have

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a very simple, cost-effective,
easy mechanism for securing

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the tags and the information
in the supply chain,

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there's a number of
areas you see here where

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we're looking at security.

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In the areas of item-level
tagging, how to physically

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secure a tag?

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In the areas of
serialization, how do we

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secure the number on a tag?

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In the areas of decommissioning,
how do we ensure that a tag

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does not get removed from a
discarded bottle and re-enter

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the supply chain--

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things like that.

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So security actually
has broad ramifications

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as far as the areas
that we're working on.

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Some of the areas
that we'll be working

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on in 2006 that are interesting
are track and trace.

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And I want to make a difference
in your mind between what track

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and trace and what pedigree is.

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So pedigree-- and I think Chuck
actually coined this phrase

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today.

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With pedigree, if
you think about it,

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it's a business to
regulate our message.

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Pedigree can be
started by paper.

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They can be started
through a EDI transaction

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or through an XML transaction.

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Not easily courierable
for an industry.

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So we're also looking this
year at the track and trace,

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the vocabulary that
this industry will use,

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and the understanding
they'll have at a business

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level of what all of the events
mean when you move product

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with RFID tags on them.

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The other areas I'll point
out that will be new is--

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and we originally saw
these as variants,

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so we'll be doing a
little bit of a GAAP

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analysis between the
requirements we have today

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and when we bring companies
that focus in these areas.

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And those areas like cold
chain, medical devices,

00:11:07.290 --> 00:11:11.040
which will start up soon, and
biologics, and how they affect

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and how they add
requirements to our pack.

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So I think I'm maybe
done with that.

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That was my one slide.

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So we'll give Chuck the floor.

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[APPLAUSE]

00:11:37.367 --> 00:11:39.540
CHUCK SCHRAMEK:
OK, I'm here again

00:11:39.540 --> 00:11:41.550
subbing for Tom
Pizutto with regard

00:11:41.550 --> 00:11:43.050
to item level
tagging in the work

00:11:43.050 --> 00:11:47.010
that that work group has done
for the Healthcare & Life

00:11:47.010 --> 00:11:49.350
Sciences BAG.

00:11:49.350 --> 00:11:53.820
This group consisted
of a series of about,

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I guess, 32 individuals that
were part of the Item-Level

00:11:56.400 --> 00:11:58.320
Tagging work group.

00:11:58.320 --> 00:12:03.330
10 were from Fast
Moving Consumer Goods,

00:12:03.330 --> 00:12:05.970
10 were from Healthcare
and Life Sciences,

00:12:05.970 --> 00:12:11.160
and 10 were from the Hardware
Action Group within EPCglobal.

00:12:11.160 --> 00:12:16.500
In addition to that, we had
Dan Engels from Auto-ID center

00:12:16.500 --> 00:12:17.800
here working with us.

00:12:17.800 --> 00:12:21.540
And we also had an individual
from the Architectural Review

00:12:21.540 --> 00:12:23.880
Council within EPCglobal.

00:12:23.880 --> 00:12:28.080
So that group was pulled
together from the three BAGs

00:12:28.080 --> 00:12:30.870
to represent those BAGs and
their interests with respect

00:12:30.870 --> 00:12:35.850
to turning requirements
into solutions, or at least

00:12:35.850 --> 00:12:40.230
into understandable requirements
for the Hardware Action Group

00:12:40.230 --> 00:12:42.660
to act upon.

00:12:42.660 --> 00:12:45.150
The objectives that
we had before us--

00:12:45.150 --> 00:12:48.270
again, because we were basically
business action groups,

00:12:48.270 --> 00:12:51.840
was to really define
the business scenarios

00:12:51.840 --> 00:12:54.390
and requirements
that would drive

00:12:54.390 --> 00:13:01.980
the way we intended to deploy
and adopt RFID technology.

00:13:01.980 --> 00:13:03.780
We started out with
business scenarios,

00:13:03.780 --> 00:13:06.152
again focusing on item level.

00:13:06.152 --> 00:13:09.240
Case and pallet had
been pretty well covered

00:13:09.240 --> 00:13:12.540
in a fine fashion from FMCG.

00:13:12.540 --> 00:13:14.580
Item level had not.

00:13:14.580 --> 00:13:18.480
It was paramount importance
to Healthcare & Life Sciences.

00:13:18.480 --> 00:13:20.550
And yet, it was also a
significant importance

00:13:20.550 --> 00:13:24.870
to both FMCG and DoD.

00:13:24.870 --> 00:13:28.380
Went into tremendous detail
addressing the operating

00:13:28.380 --> 00:13:33.660
environments in which item-level
tagging would have to perform.

00:13:33.660 --> 00:13:39.060
Min/max read and write
ranges were critical to us,

00:13:39.060 --> 00:13:41.910
because it was a very
different set of scenarios

00:13:41.910 --> 00:13:44.010
from pallet and case.

00:13:44.010 --> 00:13:47.820
Security requirements, which
you've heard all day long,

00:13:47.820 --> 00:13:51.550
were as important for us as
they have been for all of you,

00:13:51.550 --> 00:13:54.090
both in the other industry
presentations, as well

00:13:54.090 --> 00:13:57.720
as the Auto-ID Lab's work that
you've been doing to date.

00:14:00.600 --> 00:14:04.950
Privacy features, critical to
Healthcare & Life Sciences.

00:14:04.950 --> 00:14:07.590
Again, we have significant
concerns there that,

00:14:07.590 --> 00:14:09.750
unless we educate the
public well enough

00:14:09.750 --> 00:14:15.030
to understand the value of
this technology and its use

00:14:15.030 --> 00:14:16.950
in their best
interests, it will be

00:14:16.950 --> 00:14:19.590
a challenge getting adoption.

00:14:19.590 --> 00:14:21.900
We have a number of products,
controlled substances

00:14:21.900 --> 00:14:27.700
that, in pharma industries, we
have to move out to customers.

00:14:27.700 --> 00:14:31.440
These need to be shielded and
secured so that others do not

00:14:31.440 --> 00:14:34.450
know what is being sent.

00:14:34.450 --> 00:14:36.600
We don't want these
tags going out live

00:14:36.600 --> 00:14:41.460
to customers and consumers,
because they in turn are

00:14:41.460 --> 00:14:48.390
paranoid about knowledge of
medication consumption being

00:14:48.390 --> 00:14:51.940
made available to
those around them.

00:14:51.940 --> 00:14:53.970
And lastly, memory features--

00:14:53.970 --> 00:14:57.270
this area is how do we
want to use the memory that

00:14:57.270 --> 00:15:02.700
will be on the chip in the most
efficient and effective way?

00:15:02.700 --> 00:15:05.130
The progress we've
made to date--

00:15:05.130 --> 00:15:07.860
and again, this group
has been working,

00:15:07.860 --> 00:15:11.670
I guess, since about
late July of 2005.

00:15:11.670 --> 00:15:16.470
We delivered a series of
item-level requirements

00:15:16.470 --> 00:15:17.880
to that group.

00:15:17.880 --> 00:15:20.460
It was about 32 pages
worth of requirements,

00:15:20.460 --> 00:15:22.680
spanning both all three--

00:15:22.680 --> 00:15:28.530
HLS, FMCG, and DoD, as well
as 60 business scenarios

00:15:28.530 --> 00:15:32.070
that we felt well
demonstrated the way

00:15:32.070 --> 00:15:36.680
this technology needed to
work for those three groups.

00:15:36.680 --> 00:15:40.440
On January 16 and 17,
we narrowed that down.

00:15:40.440 --> 00:15:43.560
We winnowed all the way down to
about seven critical scenarios,

00:15:43.560 --> 00:15:47.370
that it was the intention
of the Hardware Action Group

00:15:47.370 --> 00:15:49.980
and the vendor community
supporting Hardware Action

00:15:49.980 --> 00:15:54.630
Group to do demonstrations
of those seven scenarios.

00:15:54.630 --> 00:15:58.380
And those seven scenarios
are the ones listed here.

00:15:58.380 --> 00:16:00.690
They span, again, the
three Business Action

00:16:00.690 --> 00:16:02.970
Groups I'm here to represent.

00:16:02.970 --> 00:16:08.280
Hanging garments on
mobile metal hanger racks

00:16:08.280 --> 00:16:13.560
creates a real dilemma
for the apparel industry

00:16:13.560 --> 00:16:16.660
from a reader perspective,
a tenant perspective.

00:16:16.660 --> 00:16:18.420
A dock door portal, same thing.

00:16:18.420 --> 00:16:23.640
If you look across all
three of those groups,

00:16:23.640 --> 00:16:26.310
we need to be able
to read accurately.

00:16:26.310 --> 00:16:29.940
And particularly when you
get to the health care side,

00:16:29.940 --> 00:16:33.150
we are not comfortable
with 99% reads.

00:16:33.150 --> 00:16:36.690
We really do need 100% reads.

00:16:36.690 --> 00:16:39.510
Apparel point of sale,
again, was a scenario

00:16:39.510 --> 00:16:41.670
we picked, because
it represented

00:16:41.670 --> 00:16:45.630
one of the more challenging
point of sale scenarios

00:16:45.630 --> 00:16:51.750
that needed to be
shown to be effective.

00:16:51.750 --> 00:16:56.430
DVDs in adjacent shelf slots,
in that particular scenario,

00:16:56.430 --> 00:17:01.830
again, represent close packing
of a product on metal shelves--

00:17:01.830 --> 00:17:06.510
a dense reader
scenario, more or less.

00:17:06.510 --> 00:17:09.240
Vials and ampoules in a case--

00:17:09.240 --> 00:17:11.790
here again, this
was a read scenario.

00:17:11.790 --> 00:17:15.660
And for us, this represents
probably one of the smallest

00:17:15.660 --> 00:17:18.630
products that we'll
be tagging, and it

00:17:18.630 --> 00:17:21.210
represented a challenge for
us both on a read and write

00:17:21.210 --> 00:17:23.940
perspective.

00:17:23.940 --> 00:17:29.580
The speed at which these move
across the packaging lines

00:17:29.580 --> 00:17:33.504
is of concern, so we
need real accuracy there.

00:17:33.504 --> 00:17:35.724
AUDIENCE: [INAUDIBLE].

00:17:35.724 --> 00:17:39.680
CHUCK SCHRAMEK: Exactly, and
probably the most challenging

00:17:39.680 --> 00:17:43.850
scenario that the Hague faces,
in the work ahead of them,

00:17:43.850 --> 00:17:47.660
is that of the retail form
a mixed tote scenario.

00:17:47.660 --> 00:17:51.803
This is where the wholesalers
will put together--

00:17:51.803 --> 00:17:53.720
particularly the wholesalers
will put together

00:17:53.720 --> 00:17:56.720
a code of product
that could represent

00:17:56.720 --> 00:18:01.160
a dozen or better
manufacturers' products,

00:18:01.160 --> 00:18:04.610
all tagged differently, all
kinds of different products

00:18:04.610 --> 00:18:09.290
of all sorts of form
factors, of materials,

00:18:09.290 --> 00:18:15.710
and of contents, all together
the orientation of antennas,

00:18:15.710 --> 00:18:17.600
its random orientation.

00:18:17.600 --> 00:18:20.180
So it's going to be truly
a challenge for them

00:18:20.180 --> 00:18:22.350
to demonstrate that one.

00:18:22.350 --> 00:18:24.920
And then the last one,
the vial and ampoule

00:18:24.920 --> 00:18:27.320
write scenario was the
only write scenario

00:18:27.320 --> 00:18:30.735
that we did including this,
because we felt that this was

00:18:30.735 --> 00:18:34.910
the one that represented
things very close together,

00:18:34.910 --> 00:18:38.730
very small form factor,
going at a particular pace.

00:18:42.020 --> 00:18:44.840
The areas of central
focus and concern for us

00:18:44.840 --> 00:18:47.120
in these demonstrations
that are coming up

00:18:47.120 --> 00:18:50.780
are really to look at
performance considerations.

00:18:50.780 --> 00:18:53.060
And again, this is the
operation of the tags,

00:18:53.060 --> 00:18:55.970
operations between
tags and readers,

00:18:55.970 --> 00:18:59.630
operations of fixed readers, and
the presence of mobile readers.

00:18:59.630 --> 00:19:01.910
Again, this is in the retail
end of the supply chain

00:19:01.910 --> 00:19:03.740
that we're addressing.

00:19:03.740 --> 00:19:09.020
And lastly, operation in
dense reader environments.

00:19:09.020 --> 00:19:12.230
There again, inventory
tags that are

00:19:12.230 --> 00:19:16.310
occurring in the retail
setting, either in the store

00:19:16.310 --> 00:19:20.420
or in the back rooms, with lots
of readers, lots of antennas,

00:19:20.420 --> 00:19:22.460
tons of products.

00:19:22.460 --> 00:19:27.290
Security considerations-- here,
as you've heard all day long,

00:19:27.290 --> 00:19:30.530
the interest here is in
manageable, affordable,

00:19:30.530 --> 00:19:35.270
and non-intrusive
security solutions.

00:19:35.270 --> 00:19:41.600
We just can't afford the cost
of the detail or the latency

00:19:41.600 --> 00:19:46.820
that might be introduced with
certain types of encryption

00:19:46.820 --> 00:19:48.150
and decryption requirements.

00:19:48.150 --> 00:19:49.850
So this is an area
that we really

00:19:49.850 --> 00:19:53.570
would like to work very
closely with the labs on.

00:19:58.010 --> 00:20:02.780
Memory read/write locking-- this
is hopefully a solution for us

00:20:02.780 --> 00:20:05.420
as we move forward with
respect to shielding

00:20:05.420 --> 00:20:08.210
certain pieces of
information that we

00:20:08.210 --> 00:20:13.190
need to shield as the products
move through the supply chain,

00:20:13.190 --> 00:20:15.800
yet make them visible at
different points in the supply

00:20:15.800 --> 00:20:18.110
chain for efficiency
and effectiveness

00:20:18.110 --> 00:20:20.810
of those operations.

00:20:20.810 --> 00:20:23.150
And lastly,
decommissioning of tags--

00:20:23.150 --> 00:20:25.980
Bob mentioned that
earlier in the discussion.

00:20:25.980 --> 00:20:28.820
This is an area that, again,
for the Healthcare and Life

00:20:28.820 --> 00:20:30.740
Sciences group is of
particular concern,

00:20:30.740 --> 00:20:33.980
because we want to
make sure that we have

00:20:33.980 --> 00:20:37.520
a way of either killing
or partially killing tags

00:20:37.520 --> 00:20:41.840
as it goes out to the
consuming population,

00:20:41.840 --> 00:20:44.750
and possibly bringing it back
if we want at a later date,

00:20:44.750 --> 00:20:47.540
when we want to use it in a
much more progressive fashion.

00:20:51.887 --> 00:20:54.900
The dense reader environment
considerations-- here,

00:20:54.900 --> 00:20:59.150
we're having trouble, because
every one of those scenarios

00:20:59.150 --> 00:21:02.960
is unique to the business
or the operation that's

00:21:02.960 --> 00:21:06.620
performing them, and how we're
going to replicate something

00:21:06.620 --> 00:21:07.190
like that.

00:21:07.190 --> 00:21:11.540
And our task coming up is
going to be a real challenge.

00:21:11.540 --> 00:21:13.820
But we do have dense
reader scenarios

00:21:13.820 --> 00:21:16.790
in these various locations
throughout the supply chain,

00:21:16.790 --> 00:21:19.730
either at the dock doors, at
the racking and the distribution

00:21:19.730 --> 00:21:22.700
centers, at the shelves
in the retail store,

00:21:22.700 --> 00:21:25.220
and even at customer checkout.

00:21:25.220 --> 00:21:30.320
So it's a concern for us
in terms of interference.

00:21:30.320 --> 00:21:34.070
And lastly are the
mobile readers,

00:21:34.070 --> 00:21:36.720
entering the field of
stationary readers.

00:21:36.720 --> 00:21:39.830
Again, the Nokia
phone example of being

00:21:39.830 --> 00:21:46.550
able to go in and to read a
tag, our concerns were, well,

00:21:46.550 --> 00:21:50.720
is this really going to impact
the intelligent shelf readers

00:21:50.720 --> 00:21:52.950
that may be in place or not.

00:21:52.950 --> 00:21:54.800
And it seems like
from the research

00:21:54.800 --> 00:21:58.310
that's been done
today by Auto-ID Labs

00:21:58.310 --> 00:22:00.500
here, that's one that
we're not going to have

00:22:00.500 --> 00:22:03.630
to worry too much about.

00:22:03.630 --> 00:22:10.380
Now, I'm not going to
go into detail on these.

00:22:10.380 --> 00:22:14.030
But these are just to
give you an example

00:22:14.030 --> 00:22:18.260
of the depth of detail and the
comprehensiveness in which we

00:22:18.260 --> 00:22:22.550
defined our business scenarios
to capture the operating

00:22:22.550 --> 00:22:25.520
environments in which these
tanks would have to work.

00:22:25.520 --> 00:22:29.390
We measured everything
from where in the scenario

00:22:29.390 --> 00:22:32.930
it would occur to
the number of tags

00:22:32.930 --> 00:22:35.390
that would have to be read
at that particular point,

00:22:35.390 --> 00:22:40.790
the interrogation region that
the readers would be impacted

00:22:40.790 --> 00:22:44.420
by, the tag antenna sizes
and the variety of those tag

00:22:44.420 --> 00:22:50.330
antenna sizes, maximum read
ranges, maximum tag velocity--

00:22:50.330 --> 00:22:53.360
or in cases when they're
stationary, how long are

00:22:53.360 --> 00:22:58.550
they stationary to allow a read.

00:22:58.550 --> 00:23:01.160
The reader reliability--
again, this

00:23:01.160 --> 00:23:06.200
is something that we feel
very strongly about being

00:23:06.200 --> 00:23:08.790
as close to 100% as possible.

00:23:08.790 --> 00:23:13.640
And then the last one were notes
on the materials and make-ups

00:23:13.640 --> 00:23:15.770
of what these scenarios
were all about.

00:23:19.400 --> 00:23:24.890
A good example, again, going
back to the retail pharma tote,

00:23:24.890 --> 00:23:27.290
here again, you're looking
at liquids, blister packs,

00:23:27.290 --> 00:23:35.660
tablets, syringes, full
metal packages, all in a tote

00:23:35.660 --> 00:23:40.800
to be read with random oriented
placement in that tote.

00:23:40.800 --> 00:23:45.750
So these are very, very
challenging demonstrations.

00:23:45.750 --> 00:23:51.380
We know, hopefully, that most
of it will be successful,

00:23:51.380 --> 00:23:54.590
and we'll move forward
with getting solutions.

00:23:54.590 --> 00:23:57.337
And where we are now
is we're proceeding

00:23:57.337 --> 00:23:59.420
in this second phase, which
is turning all of this

00:23:59.420 --> 00:24:02.210
over to the Hague
for them to take on.

00:24:02.210 --> 00:24:04.490
There is a little
wrap-up work that's

00:24:04.490 --> 00:24:06.170
still expected of
our group, and that's

00:24:06.170 --> 00:24:10.260
to get a better sense of what
the hospital demands are.

00:24:10.260 --> 00:24:14.330
Unfortunately, today, we haven't
had hospital representation

00:24:14.330 --> 00:24:17.600
as directly and
strongly as what we've

00:24:17.600 --> 00:24:20.645
needed in the HLS community.

00:24:20.645 --> 00:24:22.520
But we do need to get
more information there,

00:24:22.520 --> 00:24:25.520
because that represents
a possible frequency

00:24:25.520 --> 00:24:30.360
issue for us, and
likewise more complexity.

00:24:30.360 --> 00:24:33.380
So the Hague is going to
confirm that the technology

00:24:33.380 --> 00:24:35.070
vendors that are going
to work with them

00:24:35.070 --> 00:24:37.220
in these demonstrations,
which they think

00:24:37.220 --> 00:24:40.220
will be somewhere between
six and 12 companies

00:24:40.220 --> 00:24:41.482
working with us.

00:24:41.482 --> 00:24:43.190
We want to make sure
they cover the seven

00:24:43.190 --> 00:24:45.860
scenarios in an equal
fashion, so they don't all

00:24:45.860 --> 00:24:48.830
go after scenario one
and five, and the others

00:24:48.830 --> 00:24:50.243
don't get addressed.

00:24:50.243 --> 00:24:52.160
That's going to be the
challenge for the Hague

00:24:52.160 --> 00:24:54.170
to make sure they work that out.

00:24:54.170 --> 00:24:59.750
They're going to do the work
between February and March 22,

00:24:59.750 --> 00:25:01.610
at which time,
these demonstrations

00:25:01.610 --> 00:25:05.560
are going to be provided back
to the three business action

00:25:05.560 --> 00:25:06.060
groups--

00:25:06.060 --> 00:25:08.750
HLS, FMCG, and DoD.

00:25:08.750 --> 00:25:13.340
And then we will see where we
go from there in terms of what

00:25:13.340 --> 00:25:15.120
they can do and what they can't.

00:25:15.120 --> 00:25:18.950
So out of that, we expect
a lot of opportunities

00:25:18.950 --> 00:25:24.080
to come back to you, and ask
for assistance in drilling

00:25:24.080 --> 00:25:26.420
down on how we
can turn something

00:25:26.420 --> 00:25:29.000
that doesn't look like it
can work today into something

00:25:29.000 --> 00:25:33.680
that can six or nine months,
a year, year and a half out.

00:25:33.680 --> 00:25:35.409
OK.

00:25:35.409 --> 00:25:38.860
[APPLAUSE]

00:25:48.227 --> 00:25:49.890
TED NG: Hi, I'm Ted.

00:25:49.890 --> 00:25:52.400
I'm going to try to go
through, with you guys, what

00:25:52.400 --> 00:25:56.600
we've done in the BAG for the
pedigree side of the business.

00:25:56.600 --> 00:26:02.270
Again, Mike opened up with
very leading drivers of what's

00:26:02.270 --> 00:26:03.200
causing us to do this.

00:26:03.200 --> 00:26:06.680
And really, the driver
is not pedigree,

00:26:06.680 --> 00:26:09.960
but the driver is really
patient safety in health care.

00:26:09.960 --> 00:26:12.710
OK, again, our
lightening rod for us

00:26:12.710 --> 00:26:14.390
to move forward in
the pedigree space

00:26:14.390 --> 00:26:16.550
was caused by the
FDA report that

00:26:16.550 --> 00:26:20.750
was issued in February of 2004.

00:26:20.750 --> 00:26:23.682
So it appears that we do
have a counterfeit problem,

00:26:23.682 --> 00:26:25.640
and how are we going to
deal with that problem?

00:26:25.640 --> 00:26:27.650
And the report indicated
that the best way

00:26:27.650 --> 00:26:31.420
to do that was to use
RFID-based systems.

00:26:31.420 --> 00:26:33.800
So I think you guys have
seen these products.

00:26:33.800 --> 00:26:36.098
One side is the good product.

00:26:36.098 --> 00:26:36.890
On the right side--

00:26:36.890 --> 00:26:39.260
I mean, left or right side,
depending on the product,

00:26:39.260 --> 00:26:41.090
is showing you the
good [INAUDIBLE]

00:26:41.090 --> 00:26:42.230
and the bad products.

00:26:42.230 --> 00:26:44.063
So how are you going
to tell the difference?

00:26:44.063 --> 00:26:46.190
So they're saying
RFID is the way to go.

00:26:48.740 --> 00:26:55.040
The problem is we have too many
cooks in the kitchen for us.

00:26:55.040 --> 00:26:56.080
We would love to comply.

00:26:56.080 --> 00:26:57.470
I think the industry
wants to comply.

00:26:57.470 --> 00:26:59.390
I think it's the right thing
to do for us, the right thing

00:26:59.390 --> 00:27:00.680
to do for the nation.

00:27:00.680 --> 00:27:06.440
But if you look at
this, 30-plus states

00:27:06.440 --> 00:27:08.060
have written pedigree laws now.

00:27:08.060 --> 00:27:10.890
And I represent
McKesson, and McKesson's

00:27:10.890 --> 00:27:12.890
a wholesale distributor
of pharmaceutical drugs.

00:27:12.890 --> 00:27:15.710
We cannot afford to write
systems for 30 different

00:27:15.710 --> 00:27:16.940
states, basically.

00:27:16.940 --> 00:27:19.970
So we really need to
have a consistent model.

00:27:19.970 --> 00:27:22.590
The model that Mike showed
would be great to have.

00:27:22.590 --> 00:27:24.930
But unfortunately,
Florida, the first one

00:27:24.930 --> 00:27:26.810
that's coming up
for us, which we

00:27:26.810 --> 00:27:29.210
put a lot of effort
behind July 1st of 2006

00:27:29.210 --> 00:27:32.390
indicated that we have to be
in compliance to their model

00:27:32.390 --> 00:27:36.230
first, and then followed
by January 1st of 2007

00:27:36.230 --> 00:27:37.160
is California.

00:27:37.160 --> 00:27:39.530
And then there's various
laws already in place,

00:27:39.530 --> 00:27:42.320
like in regulatory
process like Nevada,

00:27:42.320 --> 00:27:45.680
like Texas, already in progress
and writing regulations that

00:27:45.680 --> 00:27:48.140
may interfere with
what has already

00:27:48.140 --> 00:27:50.150
been proposed by Florida.

00:27:50.150 --> 00:27:52.320
So the real benefit
for us, so to speak,

00:27:52.320 --> 00:27:56.130
is that the models have been
proposed by the other 29,

00:27:56.130 --> 00:28:00.170
30-plus states here differs
significantly from Florida.

00:28:00.170 --> 00:28:03.900
So there might be
some consolidation,

00:28:03.900 --> 00:28:06.020
so to speak, hopefully
by the models.

00:28:06.020 --> 00:28:09.500
And what we're looking for is
some federal interaction here

00:28:09.500 --> 00:28:11.870
that will allow us to do that.

00:28:11.870 --> 00:28:15.080
So really, I'll talk a
little bit about the solution

00:28:15.080 --> 00:28:18.350
is identification and tracking.

00:28:18.350 --> 00:28:19.550
But how do you do that?

00:28:19.550 --> 00:28:21.260
I have not heard
anything today that

00:28:21.260 --> 00:28:24.470
tells me that says that we
need to do the entire supply

00:28:24.470 --> 00:28:26.440
chain in all products
in the supply chain.

00:28:26.440 --> 00:28:28.190
That's not what we
need to have done here.

00:28:28.190 --> 00:28:29.540
We've got to do some type of--

00:28:29.540 --> 00:28:34.190
I don't think there's sufficient
RFID capacity in the industry

00:28:34.190 --> 00:28:37.580
to solve and meet all of the
demand necessary to enable

00:28:37.580 --> 00:28:40.480
the entire supply chain of
pharmaceutical products.

00:28:40.480 --> 00:28:42.920
So there's got to be some
approach, some thinking, that

00:28:42.920 --> 00:28:46.820
says that what's a rational
adoption approach here?

00:28:46.820 --> 00:28:48.560
Is it high demand guys only?

00:28:48.560 --> 00:28:50.150
Is it the top 100?

00:28:50.150 --> 00:28:53.000
Is it the guys that
are most counterfeited?

00:28:53.000 --> 00:28:56.480
So we need help and
need some guidance here.

00:28:56.480 --> 00:28:59.150
But again, we're forced by
the Florida pedigree law

00:28:59.150 --> 00:29:01.520
to enable the
whole supply chain.

00:29:01.520 --> 00:29:02.570
But if you look at--

00:29:02.570 --> 00:29:05.270
well, going into what
Florida is all about,

00:29:05.270 --> 00:29:07.640
that model is
fundamentally flawed,

00:29:07.640 --> 00:29:11.420
in the way we would think
about a pure chain of custody

00:29:11.420 --> 00:29:14.100
and a pedigree model.

00:29:14.100 --> 00:29:17.520
So the Florida pedigree model
says it's not the data element,

00:29:17.520 --> 00:29:18.020
so to speak.

00:29:18.020 --> 00:29:19.890
It's what you're trying
to accomplish here.

00:29:19.890 --> 00:29:23.765
And we need this basic stuff.

00:29:23.765 --> 00:29:25.640
And they don't even talk
about serialization.

00:29:25.640 --> 00:29:27.980
Obviously, when you
counterfeit product

00:29:27.980 --> 00:29:30.560
at an item level,
or a bottle level,

00:29:30.560 --> 00:29:34.040
and they're looking at tracking
only a lot and expiration date,

00:29:34.040 --> 00:29:36.810
so to speak.

00:29:36.810 --> 00:29:38.227
So there was other
industry groups

00:29:38.227 --> 00:29:39.977
that have come together--
not just states.

00:29:39.977 --> 00:29:41.690
I didn't show you the
whole picture here.

00:29:41.690 --> 00:29:43.400
There has been
NABP, then there's

00:29:43.400 --> 00:29:46.460
other groups in uniform.

00:29:46.460 --> 00:29:47.960
There's our uniform
pedigree council

00:29:47.960 --> 00:29:50.210
that we put together by
different industry groups

00:29:50.210 --> 00:29:52.700
representing various
factions here.

00:29:52.700 --> 00:29:54.827
But they came up
with a different set

00:29:54.827 --> 00:29:57.410
of data elements associated with
what should be in a pedigree.

00:30:00.140 --> 00:30:04.180
So really, what they
did was in those groups

00:30:04.180 --> 00:30:06.160
was define quote,
"the data elements."

00:30:06.160 --> 00:30:09.310
Obviously, data
elements are of value.

00:30:09.310 --> 00:30:11.570
Because I'm an IT guy, I
work with data elements.

00:30:11.570 --> 00:30:13.540
But what's more important?

00:30:13.540 --> 00:30:16.150
What's the process associated
with that definition

00:30:16.150 --> 00:30:18.790
of what a pedigree is?

00:30:18.790 --> 00:30:20.140
Who updates the data?

00:30:20.140 --> 00:30:23.530
Who says what data should
be there once you update it?

00:30:23.530 --> 00:30:25.360
How do I share the information.

00:30:25.360 --> 00:30:27.610
And then from the process
side, where does it

00:30:27.610 --> 00:30:30.940
start, who is responsible,
who will enforce?

00:30:30.940 --> 00:30:34.760
Again, we talked about what
is authentication here.

00:30:34.760 --> 00:30:35.750
It's not just a number.

00:30:35.750 --> 00:30:37.720
It's also the over and
covert measures associated

00:30:37.720 --> 00:30:39.178
with it, and the
linking of the two

00:30:39.178 --> 00:30:41.700
sides of the pedigree
model, with a right side

00:30:41.700 --> 00:30:44.560
and a left side, in
a logical data model.

00:30:44.560 --> 00:30:45.940
So who pays for
the system, which

00:30:45.940 --> 00:30:47.500
is even a better question.

00:30:47.500 --> 00:30:49.080
If regulatory
mandates this stuff,

00:30:49.080 --> 00:30:51.580
obviously, there's going to be
a huge increase in cost here.

00:30:54.250 --> 00:30:57.160
And McKesson deals with
literally thousands

00:30:57.160 --> 00:30:58.780
of local pharmacies.

00:30:58.780 --> 00:31:01.120
And in different
parts of the country,

00:31:01.120 --> 00:31:02.980
we call them mom and pops.

00:31:02.980 --> 00:31:05.010
If we put in an
RFID system they're

00:31:05.010 --> 00:31:07.180
associated with a more
sophisticated system,

00:31:07.180 --> 00:31:10.660
can these pharmacies be able
to authenticate the product

00:31:10.660 --> 00:31:12.370
when we receive it?

00:31:12.370 --> 00:31:15.790
Do they have the cost
infrastructure to do so?

00:31:15.790 --> 00:31:19.600
I know we need standards.

00:31:19.600 --> 00:31:21.970
I'm also part of
the Information Work

00:31:21.970 --> 00:31:24.650
Group working within the BAG.

00:31:24.650 --> 00:31:28.780
What we really need to have
is the information model,

00:31:28.780 --> 00:31:32.458
the logical models, the
flow associated with it.

00:31:32.458 --> 00:31:34.000
You guys, I know
some of the speakers

00:31:34.000 --> 00:31:36.798
here today attempted
to bridge into that

00:31:36.798 --> 00:31:37.840
without talking about it.

00:31:37.840 --> 00:31:41.980
But if we really need the
rules as an IT organization

00:31:41.980 --> 00:31:44.680
to do synchronization,
validation, ownership,

00:31:44.680 --> 00:31:47.620
retention, security,
Florida says

00:31:47.620 --> 00:31:50.980
we have to keep the records
for a pedigree for three years.

00:31:50.980 --> 00:31:54.093
We generate-- oh no.

00:31:54.093 --> 00:31:56.260
I'm not going to go through
the numbers of McKesson,

00:31:56.260 --> 00:31:58.360
but there's a lot of orders.

00:31:58.360 --> 00:32:00.580
We generate an order for
each customer every day

00:32:00.580 --> 00:32:02.110
of the year in Florida.

00:32:02.110 --> 00:32:04.020
We do an overnight
delivery model.

00:32:04.020 --> 00:32:06.520
So how many pedigrees do we
need to create for every product

00:32:06.520 --> 00:32:07.300
there?

00:32:07.300 --> 00:32:10.390
We cannot afford to create a
paper pedigree-based system,

00:32:10.390 --> 00:32:12.610
and Florida allows a
paper pedigree system.

00:32:12.610 --> 00:32:15.110
And there's no integrity in a
paper pedigree system, really.

00:32:19.270 --> 00:32:23.567
This is a little bit about
evolution of hardware,

00:32:23.567 --> 00:32:24.650
software, and integration.

00:32:24.650 --> 00:32:27.670
But if you look at all the
different architectural stacks

00:32:27.670 --> 00:32:31.030
and stuff, really,
that middleware

00:32:31.030 --> 00:32:34.180
is expanding to the edge, and
middleware is spanning upward

00:32:34.180 --> 00:32:35.510
into the enterprise.

00:32:35.510 --> 00:32:40.840
So there's no static model,
so to speak, of technology.

00:32:40.840 --> 00:32:43.000
Here we are, moving
from gen 1 to gen 2.

00:32:43.000 --> 00:32:46.210
So we're talking
about agile readers.

00:32:46.210 --> 00:32:48.070
We're talking about--
we haven't really

00:32:48.070 --> 00:32:49.820
come up with a sense
of understanding what

00:32:49.820 --> 00:32:51.310
are the firm
frequencies associated

00:32:51.310 --> 00:32:52.310
with what we're going to do?

00:32:52.310 --> 00:32:53.950
How are we going to write
these tags, and what

00:32:53.950 --> 00:32:55.048
should be on the tags?

00:32:55.048 --> 00:32:57.340
And then we have the performance
issues with item-level

00:32:57.340 --> 00:32:58.430
tagging still to decide.

00:32:58.430 --> 00:33:03.100
So I think Chuck
and Mike here really

00:33:03.100 --> 00:33:04.210
said the same things here.

00:33:04.210 --> 00:33:05.740
We really need your help here.

00:33:05.740 --> 00:33:07.420
Help us resolve
these issues here,

00:33:07.420 --> 00:33:11.811
so that we can get this
patient safety issue addressed.

00:33:15.500 --> 00:33:17.590
So a summary of issues here.

00:33:17.590 --> 00:33:20.920
Again, top of the list is
really for us in health care.

00:33:20.920 --> 00:33:22.150
We're guided by HIPAA rules.

00:33:22.150 --> 00:33:25.330
We're guided by many different
privacy and security practices

00:33:25.330 --> 00:33:26.260
already.

00:33:26.260 --> 00:33:31.720
We need one that allow us to
do what we need to do, and not

00:33:31.720 --> 00:33:35.920
lose the confidence of what
we have in our health care

00:33:35.920 --> 00:33:37.420
consumer base today.

00:33:37.420 --> 00:33:41.020
We cannot allow that to erode.

00:33:41.020 --> 00:33:42.430
So again, where's the data?

00:33:42.430 --> 00:33:44.500
How are we going
to hold that data?

00:33:44.500 --> 00:33:46.600
The health care
industry model today,

00:33:46.600 --> 00:33:49.785
it's held very closely
to the vest, the data.

00:33:49.785 --> 00:33:51.160
So we need to come
up with models

00:33:51.160 --> 00:33:55.720
that allow us to expand beyond
our current supply chain model,

00:33:55.720 --> 00:33:58.510
and to say what is the
economics associated with it.

00:34:01.120 --> 00:34:03.610
Product identification
schema-- again,

00:34:03.610 --> 00:34:07.480
we talked about it in many
different forums here today,

00:34:07.480 --> 00:34:10.929
a local schema versus
the global schema.

00:34:10.929 --> 00:34:14.380
Obviously, the manufacturers
have a global business.

00:34:14.380 --> 00:34:18.020
And yet the NDC number,
which is the primary product

00:34:18.020 --> 00:34:21.850
identifier here in America,
is used for claims processing.

00:34:21.850 --> 00:34:25.150
And a pharmacy, for them not to
have that number on the product

00:34:25.150 --> 00:34:25.929
is a big deal.

00:34:30.070 --> 00:34:33.460
And also, I don't
know if tagging

00:34:33.460 --> 00:34:35.650
was talked about by Chuck,
obviously, in detail.

00:34:35.650 --> 00:34:37.989
Forward and reverse
logistics participation--

00:34:37.989 --> 00:34:40.594
obviously, if you look
at the Florida model,

00:34:40.594 --> 00:34:42.219
it doesn't start with
the manufacturer.

00:34:42.219 --> 00:34:44.830
It starts with the wholesaler.

00:34:44.830 --> 00:34:47.237
There's a few supply chain
participants missing there

00:34:47.237 --> 00:34:48.070
in the middle here--

00:34:48.070 --> 00:34:50.110
[CHUCKLES]

00:34:50.110 --> 00:34:52.000
--Including logistics guys.

00:34:52.000 --> 00:34:55.840
So we believe that, really,
the best pedigree model

00:34:55.840 --> 00:34:58.510
contains all participants
in the supply chain.

00:34:58.510 --> 00:34:59.980
There can't be
going from one step

00:34:59.980 --> 00:35:03.820
to step three, and step two
maybe if you have the time.

00:35:03.820 --> 00:35:06.155
[CHUCKLES]

00:35:06.155 --> 00:35:09.920
So what we're looking for is
really state and FDA ePedigree

00:35:09.920 --> 00:35:10.420
model.

00:35:10.420 --> 00:35:12.040
We're looking for
an electronic model.

00:35:12.040 --> 00:35:14.860
Electronic models, I
believe the pedigree model

00:35:14.860 --> 00:35:17.410
itself is a pretty uniform
model, in the sense

00:35:17.410 --> 00:35:20.590
that the problem that
you can address, in terms

00:35:20.590 --> 00:35:24.310
of a pedigree model
for health care

00:35:24.310 --> 00:35:27.100
can apply to consumer
packaged goods.

00:35:27.100 --> 00:35:32.200
It can apply to the clothing
industry, for example.

00:35:32.200 --> 00:35:33.790
So the model is
pretty clear, but we

00:35:33.790 --> 00:35:35.810
need to define one
across industries.

00:35:35.810 --> 00:35:37.510
And I think that would
add significantly

00:35:37.510 --> 00:35:39.520
to the adoption
associated with it.

00:35:42.940 --> 00:35:45.970
Tag frequency,
technological maturity--

00:35:45.970 --> 00:35:50.800
I caution, as a business,
we have x number of dollars

00:35:50.800 --> 00:35:53.710
each year to invest
into technology.

00:35:53.710 --> 00:35:56.530
What we need to have is
an evolutionary step.

00:35:56.530 --> 00:35:58.297
We can't slowly evolve.

00:35:58.297 --> 00:36:00.130
We've got to have
checkpoints along the way.

00:36:00.130 --> 00:36:02.320
I was talking to John
earlier over lunch

00:36:02.320 --> 00:36:05.380
about the concept of we have to
set the future vision of where

00:36:05.380 --> 00:36:06.940
we're going to go.

00:36:06.940 --> 00:36:08.872
Where are we going to
be two years from now,

00:36:08.872 --> 00:36:11.080
three years from now, wherever
the slice and dice is?

00:36:11.080 --> 00:36:14.660
But the end of year 1, we
have to say to ourselves,

00:36:14.660 --> 00:36:16.870
we're all going to
be x 12 by this date,

00:36:16.870 --> 00:36:19.342
and be able to accomplish
these type of things.

00:36:19.342 --> 00:36:21.550
So that's what we're looking
for here as an industry,

00:36:21.550 --> 00:36:24.190
because we can't do this
incremental adoption approach,

00:36:24.190 --> 00:36:25.990
because it's a huge
infrastructure we

00:36:25.990 --> 00:36:28.150
have to change overnight.

00:36:28.150 --> 00:36:30.880
Took us 30 years to get
the barcode maturity.

00:36:30.880 --> 00:36:34.810
We cannot wait 30 years
for RFID to become mature.

00:36:34.810 --> 00:36:37.780
We all understand the product
of identification strength

00:36:37.780 --> 00:36:39.670
and the need for
product identification,

00:36:39.670 --> 00:36:42.700
and the glory associated with
understanding what else we can

00:36:42.700 --> 00:36:45.220
do with additional
bits of information

00:36:45.220 --> 00:36:47.260
that we never had with
the linear barcode.

00:36:47.260 --> 00:36:55.450
So again, what's a rational
adoptions approach?

00:36:55.450 --> 00:36:58.810
For McKesson, a
wholesale distributor,

00:36:58.810 --> 00:37:02.120
what percentage of product
has to be enabled for us

00:37:02.120 --> 00:37:08.620
to make that a non-parallel set
of technologies, so to speak?

00:37:08.620 --> 00:37:11.320
I can't be scanning product
with barcodes in one hand,

00:37:11.320 --> 00:37:13.063
and then using
RFID on the other.

00:37:13.063 --> 00:37:14.230
It doesn't save me any time.

00:37:14.230 --> 00:37:16.272
If I close the tote and
I have to open it back up

00:37:16.272 --> 00:37:19.060
to scan those products that are
not RFID-enabled versus guys

00:37:19.060 --> 00:37:20.770
that are barcode-enabled.

00:37:20.770 --> 00:37:24.220
So we have to reach a level
of maturity in adoption

00:37:24.220 --> 00:37:26.020
as quickly as possible.

00:37:26.020 --> 00:37:29.280
And that would be everybody
in the supply chain again.

00:37:29.280 --> 00:37:31.090
And that goes back
to the cost dollars.

00:37:31.090 --> 00:37:33.350
It goes back to the
evolutionary aspects of it.

00:37:33.350 --> 00:37:38.370
So it's really not a
focus on technology.

00:37:38.370 --> 00:37:39.560
I don't want to make--

00:37:39.560 --> 00:37:41.350
I know we're a
technology group here.

00:37:41.350 --> 00:37:44.183
We really need to focus on
the long-term vision in terms

00:37:44.183 --> 00:37:45.600
of a business set
of requirements,

00:37:45.600 --> 00:37:47.558
and saying we're going
to sell safe and secure,

00:37:47.558 --> 00:37:49.470
we're going to sell
reverse logistics

00:37:49.470 --> 00:37:51.000
or operational efficiencies.

00:37:51.000 --> 00:37:54.970
One make may follow the
other on a logical basis.

00:37:54.970 --> 00:37:58.660
But when you develop
a sense of solutions--

00:37:58.660 --> 00:38:01.410
and when I say ePedigree, to
me, that's a business scenario,

00:38:01.410 --> 00:38:03.540
and what are supporting
technologies that

00:38:03.540 --> 00:38:06.480
allow us to get to step
one, and then further out,

00:38:06.480 --> 00:38:09.810
a second step
associated with it?

00:38:09.810 --> 00:38:11.490
And that's all I
really had to say.

00:38:11.490 --> 00:38:13.470
I want to keep to our time here.

00:38:13.470 --> 00:38:17.670
So I'm sure we're up here
for a few questions here.

00:38:17.670 --> 00:38:23.032
[APPLAUSE]

00:38:23.032 --> 00:38:24.490
STEPHEN MILES:
Thank you very much.

00:38:24.490 --> 00:38:25.907
If we could come
down to the front

00:38:25.907 --> 00:38:27.433
of the room for any questions?

00:38:33.360 --> 00:38:35.125
You just handed us a big menu.

00:38:35.125 --> 00:38:39.070
[LAUGHTER]

00:38:39.070 --> 00:38:42.180
Picking up on themes
from throughout the day.

00:38:47.394 --> 00:38:50.300
AUDIENCE: Hi, I'm Alfonso
Gutierrez from the University

00:38:50.300 --> 00:38:51.500
of Wisconsin, Madison.

00:38:54.110 --> 00:38:56.150
In the beginning of
the presentation,

00:38:56.150 --> 00:38:59.180
you had a big slide saying that
it's for the patient's safety.

00:39:01.700 --> 00:39:08.090
We're working in some
of the blood products

00:39:08.090 --> 00:39:11.330
on a supply chain, and a big
issue that we're dealing with

00:39:11.330 --> 00:39:15.245
is the patient identification.

00:39:15.245 --> 00:39:16.370
This is called the patient.

00:39:16.370 --> 00:39:18.140
And at the end of
all of this, it's

00:39:18.140 --> 00:39:20.630
a patient who is receiving this.

00:39:20.630 --> 00:39:23.030
Different than the
consumer products,

00:39:23.030 --> 00:39:25.100
we have to tie in
with the patient.

00:39:25.100 --> 00:39:28.190
It's not only the
consumer that we can just

00:39:28.190 --> 00:39:32.420
send the product out and we
don't care who bought it.

00:39:32.420 --> 00:39:35.060
Who's dealing with this?

00:39:35.060 --> 00:39:39.830
Who's skinning this cat
of patient identification?

00:39:39.830 --> 00:39:43.770
Should it be in parallel
with all of this?

00:39:43.770 --> 00:39:46.000
[INTERPOSING VOICES]

00:39:46.000 --> 00:39:48.230
MICHAEL ROSE: I think
it's an excellent point.

00:39:48.230 --> 00:39:52.540
I think this whole area
of linking prescriptions

00:39:52.540 --> 00:39:54.350
to devices--

00:39:54.350 --> 00:39:58.190
because the common
connection is the patient.

00:39:58.190 --> 00:40:03.080
So you really don't see anyone
solving that problem right now.

00:40:03.080 --> 00:40:05.510
One hope on the
horizon, though, is

00:40:05.510 --> 00:40:07.730
there's quite a bit of
movement in the government.

00:40:07.730 --> 00:40:11.150
Dr. Brailer's
organization is looking

00:40:11.150 --> 00:40:14.600
at helping improve
the health care

00:40:14.600 --> 00:40:18.590
system, the application of IT.

00:40:18.590 --> 00:40:21.960
That's an area that is
taking a look at this.

00:40:21.960 --> 00:40:23.990
So we would expect
some of the work that's

00:40:23.990 --> 00:40:26.360
going on there may
eventually move

00:40:26.360 --> 00:40:29.600
in that particular direction.

00:40:29.600 --> 00:40:31.670
The other area,
there's an association

00:40:31.670 --> 00:40:34.010
called NAHIT, National
Association of Health

00:40:34.010 --> 00:40:37.483
Information Technology.

00:40:37.483 --> 00:40:38.900
It's certainly
within their brief,

00:40:38.900 --> 00:40:43.460
and they commissioned
a study last year

00:40:43.460 --> 00:40:48.890
around the adoption of RFID
and other auto-ID technologies,

00:40:48.890 --> 00:40:51.440
not just for products, but
also for patients, too.

00:40:51.440 --> 00:40:52.730
So I agree with you.

00:40:52.730 --> 00:40:55.697
It's an issue, but it's
still very fragmented

00:40:55.697 --> 00:40:58.280
and needs to be brought together
in a more coordinated manner.

00:41:02.200 --> 00:41:06.230
TED NG: Also, from
my perspective,

00:41:06.230 --> 00:41:10.400
RFID and patient identification
probably don't go together

00:41:10.400 --> 00:41:11.870
on the same chip, so to speak.

00:41:11.870 --> 00:41:13.470
[LAUGHS]

00:41:13.470 --> 00:41:17.210
I think that there's a privacy--

00:41:17.210 --> 00:41:18.270
the HIPAA laws.

00:41:18.270 --> 00:41:18.860
I don't know if you
guys are familiar

00:41:18.860 --> 00:41:20.150
with the federal HIPAA--

00:41:20.150 --> 00:41:23.570
Health Care Insurance
Portability Accountability Act.

00:41:23.570 --> 00:41:27.920
That requires that data
be secured, and have

00:41:27.920 --> 00:41:31.430
privacy concerns associated
with the linking of personally

00:41:31.430 --> 00:41:32.700
identififable information.

00:41:32.700 --> 00:41:36.710
So I don't think it'll
be on the product

00:41:36.710 --> 00:41:39.350
that you get from the pharmacy.

00:41:39.350 --> 00:41:42.860
There might be a pharmacy
number or a script number.

00:41:42.860 --> 00:41:45.890
But again, your
patient information

00:41:45.890 --> 00:41:48.170
will be stored by
the pharmacist.

00:41:48.170 --> 00:41:50.270
Additionally, again,
there's another agency

00:41:50.270 --> 00:41:56.090
called HIMS, Healthcare
Information Management and--

00:41:56.090 --> 00:41:56.750
the two S's.

00:41:56.750 --> 00:41:58.375
[INAUDIBLE]

00:41:58.375 --> 00:42:00.660
Systems, Service-- yeah,
systems along that line.

00:42:00.660 --> 00:42:02.660
Again, electronic
medical records

00:42:02.660 --> 00:42:05.420
is the solution here
somewhere along the way.

00:42:05.420 --> 00:42:08.030
Also in the federal
bodies here, they're

00:42:08.030 --> 00:42:13.745
looking at trying to develop
electronic medical records.

00:42:13.745 --> 00:42:15.200
BOB CELESTE: One
of the areas that

00:42:15.200 --> 00:42:23.870
may be able to help you out with
is that in Ireland does quite

00:42:23.870 --> 00:42:26.000
a bit of work [INAUDIBLE].

00:42:26.000 --> 00:42:30.380
And they've got serialization
in the spring of [INAUDIBLE]..

00:42:39.990 --> 00:42:42.990
AUDIENCE: We're all from the
same school [INAUDIBLE] in MIT.

00:42:42.990 --> 00:42:46.560
Actually, we are doing some
marketing research of the RFID

00:42:46.560 --> 00:42:48.900
in the drug tracking business.

00:42:48.900 --> 00:42:52.500
We found, actually, the
business is growing very fast--

00:42:52.500 --> 00:42:54.165
the market size.

00:42:54.165 --> 00:42:57.730
Like, in 2006, it's
going to be 25%,

00:42:57.730 --> 00:43:00.870
and in 2007, it's
going to be 30%.

00:43:00.870 --> 00:43:04.770
In 2011, it's going to
be 40%, and it's going

00:43:04.770 --> 00:43:07.860
to exceed, like, $1 billion US.

00:43:07.860 --> 00:43:11.080
And I noticed that you
have a summary of issues.

00:43:11.080 --> 00:43:14.150
One thing I'm specifically
interested in, we obviously

00:43:14.150 --> 00:43:18.930
didn't get a chance to explore
more, is the data network--

00:43:18.930 --> 00:43:24.750
I mean, central distributor,
and also the secure access,

00:43:24.750 --> 00:43:30.870
when you have all this networked
software located everywhere,

00:43:30.870 --> 00:43:32.250
probably globally.

00:43:32.250 --> 00:43:35.040
Is there any initiation
or any research

00:43:35.040 --> 00:43:37.050
in that area, like
how you guarantee

00:43:37.050 --> 00:43:41.675
that data is right before
you get it into the network?

00:43:41.675 --> 00:43:43.050
BOB CELESTE: So
one of the things

00:43:43.050 --> 00:43:46.200
that we'll be doing this year
is the track and trace effort.

00:43:46.200 --> 00:43:49.050
And that will, first
off, define a vocabulary

00:43:49.050 --> 00:43:50.490
that the health
care industry will

00:43:50.490 --> 00:43:52.710
use to identify
[INAUDIBLE] events

00:43:52.710 --> 00:43:55.480
and understand them from
a business perspective.

00:43:55.480 --> 00:43:57.786
Part of that again,
overlaying everything,

00:43:57.786 --> 00:44:00.600
is the security aspect.

00:44:00.600 --> 00:44:03.540
And so [INAUDIBLE],, in
this case a software,

00:44:03.540 --> 00:44:06.090
actually, we're running
security around the network

00:44:06.090 --> 00:44:08.430
to ensure that data is safe.

00:44:08.430 --> 00:44:13.620
But that's part of
our 2006 effort.

00:44:13.620 --> 00:44:19.400
TED NG: Again, it's part of
the development of the entire--

00:44:19.400 --> 00:44:22.730
if you're looking at
just any pedigree alone,

00:44:22.730 --> 00:44:26.150
you're going to have to define
business process rules as to--

00:44:26.150 --> 00:44:28.265
at what point is it--

00:44:28.265 --> 00:44:30.140
what part of record, so
to speak, [INAUDIBLE]

00:44:30.140 --> 00:44:32.000
pedigree record is created.

00:44:32.000 --> 00:44:34.910
Who creates a track,
who creates a trace, who

00:44:34.910 --> 00:44:37.920
creates the authentication
side, the product identification

00:44:37.920 --> 00:44:38.420
side?

00:44:38.420 --> 00:44:40.040
And what part of
the supply chain,

00:44:40.040 --> 00:44:41.930
in terms of the supply
chain participants,

00:44:41.930 --> 00:44:44.930
are required to update this?

00:44:44.930 --> 00:44:46.640
Because if you want
a good pedigree,

00:44:46.640 --> 00:44:48.620
all the players have to
play, and each of them

00:44:48.620 --> 00:44:51.800
have a role to play.

00:44:51.800 --> 00:44:54.530
STEPHEN MILES: I've got
a question regarding

00:44:54.530 --> 00:44:57.050
chemical and thermal
stability of drug compounds.

00:44:57.050 --> 00:44:58.550
Can you say anything
on tests you've

00:44:58.550 --> 00:45:00.300
done with respect to
different frequencies

00:45:00.300 --> 00:45:04.820
of different RFID systems
and their outcomes?

00:45:04.820 --> 00:45:06.480
MICHAEL ROSE: It's
an area-- and I

00:45:06.480 --> 00:45:11.370
know the Auto-ID Labs here at
MIT have proposed to study.

00:45:11.370 --> 00:45:15.090
It's an area that's still
out for investigation.

00:45:18.800 --> 00:45:20.550
Without divulging
anything, some companies

00:45:20.550 --> 00:45:22.800
have done some work
that we're aware of.

00:45:22.800 --> 00:45:24.420
But it's not been
made public yet.

00:45:27.420 --> 00:45:29.310
And I think what's
going to be required--

00:45:29.310 --> 00:45:30.977
and I think you're
going to see, the FDA

00:45:30.977 --> 00:45:32.550
has a meeting on
February 8 and 9.

00:45:32.550 --> 00:45:35.490
It's going to be another call
for companies to come forward

00:45:35.490 --> 00:45:36.210
with public data.

00:45:36.210 --> 00:45:39.720
They made that call at the
[INAUDIBLE] HDMA meeting back

00:45:39.720 --> 00:45:42.120
last fall.

00:45:42.120 --> 00:45:43.620
I think the challenge
that companies

00:45:43.620 --> 00:45:46.650
have around this
investigation is, what's

00:45:46.650 --> 00:45:48.930
the design of experiment?

00:45:48.930 --> 00:45:50.560
What's the endpoint
of that experiment?

00:45:50.560 --> 00:45:54.055
And that's what everyone's
struggling with right now.

00:45:54.055 --> 00:45:54.930
AUDIENCE: OK, thanks.

00:45:58.297 --> 00:46:00.730
STEPHEN MILES: So thank
you very much to the panel.

00:46:00.730 --> 00:46:02.580
[APPLAUSE]