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And so FDA's providing this framework to
allow for a computer software validation process that
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is worst based and will provide for
more testing and potentially less documentation of systems
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in order to promote automation use in
the manufacturing of medical devices, pharmaceuticals and
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biologics. Welcome to life sciences accelerated, a podcast where we discuss experiences and
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groundbreaking innovations in compliance and technology,
from molecule to market. Tune in for
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in depth interviews with wellknown thought leaders
and renown subject matter experts with unparalleled knowledge
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in the technology and life sciences industry. Innovative, helpful and thought provoking.
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This is life sciences accelerated. Hi
Everyone, welcome to the life science is
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accelerated podcast. I'm your host,
Ryan Carmel, and today we're talking about
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computer system validation. There's a lot
of discussion in the life sciences industry about
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the FDA changing focus from compliance to
quality and encouraging the use of automation and
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new technologies. The FDA Center for
devices and radiological health plans to release new
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draft guidance later this year called computer
software assurance. It's for manufacturing operations and
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quality system software. This impending guidance
is creating a lot of buzz, so
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we decided this would make a fantastic
first discussion in our brand new podcast.
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So today I have Dianne lines are
with me. Diane is the VP of
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life science solutions and head of regulatory
compliance at US dum life sciences. Diane
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has three decades of experience in the
life sciences industry and leads a highly skilled
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team of implementation and compliance engineers.
I also have sandy hedbird, who is
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the QA and ur a manager for
US DM's cloud assurance division. See,
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and he has over twenty years of
experience and quality and regulatory affairs and the
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medical device, pharmaceutical and biologics industries. So thank you both for joining us
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for our first official PODCAST. All
right, so before we jump into the
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new guidance, Diane, can you
give us a quick history lesson on computer
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system validation, what it is and
how it's evolved over time? Sure,
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Ryan, computer system validation really just
means to show written evidence that the computer
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system that you're using to generate or
modify any record is required by the predicate
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rules, and the predicate rules are
things like part hundred twenty four medical device
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to tend to eleven, among others, for Pharmaceuticals and x eleven. There's
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a whole boatload of require regulations out
there, but that any records that you're
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generating are modifying that are required by
those predicate rules. Works for its intended
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use. It works the way you
wanted it to work. The goal of
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the computer system validation is to ensure
that your consistently producing accurate, reliable results.
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Historically, best practices of dictated.
The activities that occur during that are
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things like planning activities, documenting what
you're planning to do, documenting your requirements,
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the functionality of the system necessary to
meet those requirements, traceability of those
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requirements to where you've tested it,
verification that the systems installed and configured properly,
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system functionality required to meet your user
needs works the way that you expect
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it to work and that the system
performs according to the user requirements. And
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then there's a report generated at the
end that summarizes the effort, noting any
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constraints or restrictions on the system,
andy deviations that you encountered during the validation
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effort and a statement that the system
meets its intended use or not. Based
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on the evidence. HMM, okay, and then, Sandy, I'll ask
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you. So why is the FDA
making this change then? Well, FDA
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is trying to urge manufacturers to utilize
automation and their manufacturing process and their qms
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processes, because they've noted in other
industries that those industries have better product safety
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and quality of those products. So
they're trying to find a way to get
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industry to buy into more automation.
One of the driving factors associated with not
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doing that in the industry is that
everybody thinks it's too expensive because of all
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the validation effort that's required. Now, the validation requirements are part of a
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guidance document that's over twenty years o
old and there's oftentimes people over test because
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they believe there's there could be regulatory
punishment and instead of doing the right thing
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from a risk based approach in order
to get good quality and good quality products,
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they focus on the testing instead of
focusing on or they focus on driving
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documentation instead of focusing on the testing. And so FDA's providing this framework to
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allow for a computer software validation process
that is risk based and will provide for
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more testing and potentially less documentation of
systems in order to promote automation use in
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the manufacturing of medical devices, pharmaceuticals
and biologics. For people that are tuning
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into this, and and maybe they're
they've heard of the CSA a little bit,
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but dig into the weeds a little
bit for a Sandy. What is
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this exactly and how would you compare
it to more of a traditional CSV approach?
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Sure, it's very similar to a
CSV approach. It's utilizing a risk
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based approach that has always been acceptable
by FDA. What is foundation is is
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utilizing your supplier qualification and what your
suppliers are already doing in order to take
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credit for that and have that drive
your downstream testing and to make sure that
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there are alternate approaches from the fdah
perspective to lessen the documentation and providing more
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emphasis on testing, less emphasis on
documentation and providing for a better software validation
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process to ensure that your system meets
your intended use and it allows you to
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for the level of risk of those
sitting with that product, leverage and utilize
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different versions or different types of documentation, from ad hoc documentation all the way
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through your robrusscripted testing that we do
today for your documentation purposes for these types
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of systems, from a lowers perspective
to a Highris perspective. Mm and what
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types of life sciences companies can take
advantage of this approach. I think there
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are some misconceptions. I've heard some
rumblings that this is something that really only
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the medical device community can take advantage
of it. I think that, in
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particular comes from the fact that this
guidance is coming from the the medical device
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side of the House within the FDA. But there are some misconceptions there.
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Is that not true? Diane?
That is true that there are misconceptions.
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CDA are a ris to the group
who are working in producing this new draft
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guidance and at one point there may
have been an intention that it would start
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with medical devices and then move out
towards some of the other industries. But
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really this approach is acceptable today across
the board. So even though the CDR
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CD R H is the group that's
putting the guidance out there, working hand
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in hand, cooperating with the biologics
evaluation division, this drug evaluation and research
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division, and not just with FDA
divisions, but they're working with the EU
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they're working with Japan other regulatory bodies. So really, if you look at
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the ISO regulations, if you look
at Gamp guidances, these are all very
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consistent with the approach that's being defined
by the CDRH. So there's really no
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need for the pharmaceutical industry or the
biological biologics industries to not take advantage of
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a more streamlined and effective approach right
away. Don't even have to wait for
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the regulation to come out. It
can be implemented today as long as you
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update your processes and procedures internally.
So start doing it now. You don't
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have to wait. Yeah, and
for these companies that are listening, that
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are that are saying, Hey,
we're already doing this risk based validation approach,
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what do you say to them about
how to take advantage of the CSA
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approach? See, and you'll ask
you this. Yeah, yeah, using
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rostpace approach is really nothing new.
It's been promoted by FDA, gamp and
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other agencies for a long time.
The basic type of change that we're seeing
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here is that the FDA is providing
a framework in order to ensure that your
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testing activities are consistent with that risk
based approach. So for example, if
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I have an indirect QM sistem like
a campus system, that is needing a
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new validation, than you would be
allowed to potentially just do an ad hoc
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testing or you document what you tested
in the system, who did it,
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the dates that tested and sign off
of it and go. And so the
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clarification in this approach is really to
flip the focus on testing everything to testing
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what you need to test. So
instead of doing a twenty percent testing and
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eighty percent documentation, the feaims to
flip that so you do eighty percent testing
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and only twenty percent documentation. So
in doing less documentation you have more time
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to be able to do ad hoc
testing that will provide you assurance that that
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system works in your environment and you're
intended use and and they've had done some
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pilots with some companies where it they
they found that the one you want live
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and implementation of these systems. There
were less issues at that point in time
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because you did more of the upfront
work than you would have normally done in
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just doing a noncsa approach, because
you had more time to test and you
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spent less time writing test scripts.
You earlier, Sandy, you mentioned non
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products quality systems. Can you talk
more about that? Right? Right.
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So this this guidance is not intended
for medical device manufacturing products like medical devices,
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medical devices as services or in products
that are used in the medical device
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industry. This is really just for
those types of systems that are used in
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manufacturing, in the Quality Manu management
system where you have indirect or potentially direct
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impact to patient safety, product quality
and those types of things. So most
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of the time you're your quality management
system software are going to be indirect systems
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where you're not going to have a
direct impact on the product, like your
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complaint handling systems, your csfeed Type
Process Systems, like bug tracking systems,
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your tools, load testing tools,
life management tools, so life cycle management
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tools. They don't directly impact the
product. So those types of systems require
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less documentation, but remember you want
to make sure you do more testing but
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less documentation. Those systems that more
have more of a direct impact on the
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patient safety of the product quality,
like if you had any electronic adverse event
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reporting system that would report directly to
FDA. Those types of systems are going
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to require more documentation and probably increased
testing based on their risk and the impact
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on the end product. So in
those particular cases you're going to have more
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testing and the documentation. In the
other types of the direct systems you're going
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to have less documentation but more testing
because you're going to be able to do
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more testing in the time, the
same time that it would take you to
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do all the documentation that you used
to do. You want to do more
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testing, you want to make sure
that it's done in a manner consistent with
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with the users use of the system
and that way you won't have as many
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problems when you when you go live. Uh Huh. And what feedbacks and
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you are you hearing from the life
sciences community about this upcoming guidance? I'm
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hearing some concerns that people don't want
to implement this until the guidance document comes
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out, which FDA has been adamant
that this type of approach and this framework
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that they're proposing is acceptable to FTA
today and does not need to what you
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don't need to wait till the guidance
document comes out. I've also heard where
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customers are saying, well, we
already use a respace approach. We've seen
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that at a lot of places where
they say they're using over space approach,
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but in reality they're still testing everything
and they're still testing them to the about
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the same rigor as as they would
in a regular CSV type approach. The
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problem that that most people have is, if I have a good vendor that's
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been around a long time, do
I really need it to do testing on
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my log in capabilities, because they
probably already tested it to the nth degree
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at the vendor and if you already
know that, why are you your time
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on that test? Go on to
something else that would be more related to
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your use case or how the users
use the system in in order to identify
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any issues up front before you go
live in that production environment and then have
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an issue. I think Diane has
a couple concerns that she's heard and actually
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non concerns that she's heard from some
from some clients as well. Yeah,
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I think you know, I'm hearing
a lot of excitement in the industry about
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the potential for not having to do
so much documentation. There's there's certainly a
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great deal of interest and how that
might look what that looks like. Certainly
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all the poor people who've been doing
testing for so long and printed out thousands
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of screenshots are are really pretty excited
about the fact that you don't need to
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show so much objective evidence, just
really where it counts, where you really
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really need it. You know,
you don't need screenshots for everything anymore and
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that's a lot of time and effort
saved over the over the course of a
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validation or several validation events. I've
heard a couple of customers concerned what would
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happen in an inspection situation? Will
the new inspectors be trained to know what
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this approach is? Really an inspector
looks at what your approach is, what
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your computer system validation process is,
and they inspect to that process, and
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so that really minimizes a concern.
I will say that I've seen a few
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instances where someone's used a different approach
than gamp. There's nothing wrong with that
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and if an inspector is not familiar
with the approach you're using, it could
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lengthen the time of inspection and that
makes people nervous. But it shouldn't because
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you're doing the right thing if you've
documented what you're going to do and it's
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been approved across the board by the
right people, and then you're doing what
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you said you were going to do, then that's what they're going to hold
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you too. So I think that
that concern is probably not as great as
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some people fear. I've also heard
some concerns that their quality people won't accept
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the new approach, and that could
well be. It's a matter of quality
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people understanding what the approach is,
how it's done, how it's executed and
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why it's a better approach. I
would imagine some of these large legacy life
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sciences companies that have well established processes
for CSV. I'm going to take a
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guess here and say that this is
going to be a little bit more of
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an obstacle or more of a challenge
to to get some of these companies to
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get on board with this approach.
What do you say to those types of
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companies? I would say that a
lot of our bigger customers are embracing this
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approach and excited about trying to put
it in place. You're right, it's
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like moving a mountain sometimes. Yeah, but the bigger companies are the ones
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who are going to benefit from this
approach the most. There is a real
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savings in terms of time and resources
necessary. Validation's always been thought of as
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a ball and chain that hangs on
the end of a validation effort and drags
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it backwards and pulls that timeline out
because it doesn't get started till the end.
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It just delays implementation of a system
and that shouldn't be what it is.
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It should be an efficient, effective
test that says yes, my system
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is ready to put out there on
the floor and to be used by everybody.
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So, for our larger customers,
they're looking at things like using a
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pilot study so that they can help
to convince quality and it and other teams
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that this approach will work. So
try it on one system or group of
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systems first and measure your results,
especially systems that you already have validation results
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on, see how it's different and
if that pilot works, then you can
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start expanding it out to other systems. I think it's important to make sure
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everybody's on board before you just change
your methodology. But I think it's also
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important to your company, Your Corporation. You can do more work and less
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time better, more effective systems out
for people to use. You're going to
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produce better data, you'll have better
data integrity and ultimately you're going to still
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save time and money in doing this. MMM, and what do you say
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to the folks that are part of
some of these smaller companies, you know,
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a start up or an emerging life
sciences company? Is it? Is
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the message the same or is it
sort of a different are the selling points
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a little bit different? Well,
I would say the selling points are a
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little bit different because they don't have
established methodologies. In most cases, where
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you have an established methodology and a
group of people who are used to doing
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things a certain way, you got
to change your culture a little bit.
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But with these smaller companies, who
don't have processes in place already for validation
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efforts, they can start with this
right away. There's there's no need to
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start with a fullblown effort. That's
often expensive and time consuming and resource consuming
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when you don't have a lot of
resources on hand to do it. So
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saving time and money, can start
right from the beginning for them. Yeah,
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that makes sense. Well, before
we run out of time here,
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Sandy, any other thoughts on this
CSA approach? I I know it's probably
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not new. I think pretty much
everybody has heard about it by now.
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Is that fair to say? Yeah, this, this is not the guidance
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itself as new, but the approach
isn't that new. It is just a
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new framework that FDA has been promoting
in order to get us Awf of doing
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our our screenshots and our test,
you know, stuff by set test cases
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all the time for those types of
systems that are that have an indirect impact
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on manufacturing or quality. It's allowing
us to do more testing and less documentation
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and hopefully, based on your critical
thinking and your wrist based approach, you
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can get more bang for your book
and you're doing a better job of testing
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and concentrating on those things that are
really critical to that application. Yeah,
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okay, and Diane, anything else
from you? I know we've heard a
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lot about screen shots these days,
even in the context of CSA. Are
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Those those a thing of the past? They they won't ever be a thing
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of the past, I don't think, because they do have their value.
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But I see a lot of people
so concerned about not having the right objective
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evidence that they lose sight of what
the right objective evidence is. It doesn't
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have to be a screen shot and
you don't need a screenshot at every step.
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Use them where they're really meaningful,
so you're showing that that something works,
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that isn't obvious otherwise and understand this
is applicable now. You don't have
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to wait for the guidance to come
out. The methodology is firm. It's
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up to you to establish as a
company what your level of risk aversion is
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and to leverage that level in your
testing and documentation. Yeah, all right.
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Well, Sandy and Diane, thank
you so much for joining us today.
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We hope you enjoyed this first episode
of life sciences accelerated. We have
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a lot more resources available to you
on our website. You can head to
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00:21:18.180 --> 00:21:22.940
us dmcom. We've got Webinar as, we've got blogs. I've got white
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00:21:22.940 --> 00:21:26.059
papers on all sorts of life sciences
subjects, including the one that we talked
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about today, this CSA approach,
this computer software assurance approach, that guidance
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that's coming from the FDA later on
this year. Again, thanks so much
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00:21:37.130 --> 00:21:40.130
for joining us and we hope to
see you back here on a future episode.
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US DM's thought leaders have decades of
life science expertise and some previously worked
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00:21:49.240 --> 00:21:55.240
for the FDA to help create requirements
we follow today. Get more insights at
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00:21:55.359 --> 00:22:07.390
US DMCOM. You've been listening to
life sciences accelerated. If you enjoyed this
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episode, please subscribe and leave us
a review. If you'd like to learn
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more about strategies to digitally transform your
company and ways to streamline your organizations compliance
256
00:22:18.019 --> 00:22:25.539
process, visit us dmcom. That's
US, dmcom. Thanks so much for
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00:22:25.700 --> 00:22:26.099
listening, until next time.