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WhitePaperAdopt
Technology
Solutionsto
Innovate
and
StreamlineYour
Regulator
ySer
vicesMICHELLE
GYZEN,SeniorDirector,Regulatory
A?airs
andDrug
DevelopmentSolutions
(RADDS)JENS-OLAF
VANGGAARD,SeniorDirector,GlobalSafety,
Regulatory
andQuality
(SRQ)SolutionsTable
of
contentsIntroduction22TheevolutionofregulatorytechnologyandmanagementEmergingtrendsacrossthe
spaceBuildanew
modelaroundtheaugmentedregulatory
workerI.
Data
governance345II.
Integrated,end-to-end
RIMIII.
Basicaugmentation56IV.
Regulatory
intelligenceV.
Advanced
augmentationThe
impact
onregulatory
professionalsThe
roleofAI6667Howtopreparee?ciently8Abouttheauthors9About
IQVIA10IntroductionPharmaceutical
regulation
is
rapidly
expanding
to
meet
global
demand
forinnovative
drug
products.
As
a
result,
sponsors
must
strive
to
walk
the
?ne
linebetween
maintaining
compliance
and
minimizing
the
burden
for
their
sta?.
Toadapt
to
the
regulatorycomplexity
inherent
to
global
drug
campaigns,
bothvendors
and
sponsors
are
implementing
new
technology
to
augment
theregulatorywork?ow,
including
automation
and
arti?cial
intelligence(AI).
No
matterwhere
you
are
in
your
drug
development
journey
and
how
you
plan
to
approachthe
process,
familiarize
yourselfwiththe
regulatorylandscape
and
tech
solutionsavailable
to
augment
yoursta?’s
workload
and
ensure
highly
e?cient
processes.Theevolutionof
regulatorytechnologyand
managementRegulatory
managementservices
revolve
aroundthreemaingoals(Figure1).
The
?rst
isensuringoptimalandtimely
compliancewith
regulationsacrossthe
fullproduct
lifecycle
andglobe.The
secondisexpandingandacceleratingpatientaccesstomedicinesbyoptimizingregulatory
pathways
andoperations.The
thirdisshortening
the
timelinetoapprovalvia
said
optimizedpathways
andoperations.Figure1:
TheCriticalComponentsofRegulatoryManagementCompliance?
Ensureoptimal
and
timely
compliance
with
applicableregulations
globally
across
the
full
product
lifecycleCompliancePatient
access?
Expand
and
accelerate
patient
access
to
medicinesby
optimizing
regulatory
strategy,
pathways
andregulatory
operationsSuccessTimetoapprovalTimeto
approval?
Accelerate
approvals
by
optimizing
regulatory
strategy,pathways
and
regulatory
operationsPatientaccess
|
2Though
transformative
technology
hasrapidlybecomeacorecomponentofregulatory
services,
when
thesesystems
?rst
began
totake
shape
in
the
1980s,
processeswere
conducted
on
paper
and
in
Excel
(Figure
2).There
wasminimal
technology
available
to
aid
the
e?ort.
In
the
1990s,the
?rst
basic
regulatory
information
management
(RIM)systems
emerged
with
a
focus
on
advanced
registrationtracking.
The
2000s
marked
a
shift
to
electronic
papersubmissions,
and
electronic
common
technical
documents(eCTD)andstructured
product
labeling(SPL)becamemandatory.Regulatory
organizationsstarted
toleveragetechnology
toapproachthese
changes.Publishingandviewing
solutionsbecame
anindustry
standard,
andcompaniesbegantodiscusshealthauthority
interactionandsoft
intelligence.However,bytoday’s
standard,
thesetup
wasstill
relatively
old-fashioned.medicinalproducts
(IDMP)
asanextended
product
datastandard,
whichcontinuestoday.New
standards
wereintroduced,includingperformance
quali?cation(PQ);chemistry,
manufacturing,
andcontrols(CMC);andeCTD
4.0,whichbegantotakeshapewith
theadditionofmoremetadata
anddata-centric
utilizationofelectronic
papersubmissions.There
wasanincreasedemphasisoncloud-based
technology,andthe
initialexploration
ofmoreintelligenttools,
includingroboticprocessautomation(RPA),naturallanguageprocessing(NLP),andAI.By
the
2020s,the
industry
pivoted
toacceleratingintelligenceanddesigningthe
augmentedregulatoryworker.This
entails
upstream
expansionoftheRIM
domainintoregulatory
a?airs,
morefocusonregulatory
intelligenceandstrategy,decisionsupport,andincreasedautomationvia
intelligenttechnologies,includingformsofAI,
NLP,
andlargelanguagemodeling(LLM).Inthe
2010s,structured
data
submissionsbecamemoremainstreamwith
theintroduction
oftheeXtendedEudraVigilanceMedicinalProduct
Dictionary(XEVMPD).
Workbeganaroundtheidenti?cation
ofFigure2:
TheEvolutionofRegulatoryTech
andManagement2000s1990s2000s2010s2020s“Electronic
paper”submissions
drivesRIM
system
adoptionStructured
datasubmissions
andcloud
RIM
platformsFirst
basicRIM
systemsAugmentedregulatory
workerPaper
and
ExcelEmerging
trends
across
the
spaceRegulationsandstandards
areincreasinginquantityandcomplexity
aroundtheworld.As
aresult,The
operatingmodelisalsobecomingmorecomplex.Inthe
informationanddata
domain,moreinformationisnowrequiredforsubmissiontohealthauthorities.There
isalsoacontinuedshift
from
submittingworkloads
aremounting.Despitesigni?cantworktostandardize
regulations
across
markets,
there
continuestobe
variationsinimplementation.For
example,with
IDMP,
di?erentoperatingapproachesarebeingimplementedacrossdi?erentmarkets.Inthisclimate,avirtually
enabledmodelisincreasinglythestandard.To
better
support
this,morecompaniesareturningtodevelopmentandoutsourcing
partners
forassistance.documentation
tosubmitting
data,
andthe
data
andtechnologystandards
forsaid
submissionsvary
acrossmarkets.Hence,data
harmonizationcontinuestobechallenging.As
thetechnologylandscapegrowsmorediverse
via
rapidtechprogress,platforms
must
beabletointegratesolutionstouse
themcollaboratively.There
isanaddedemphasisonaugmentingintegratedplatforms
with
intelligent,
focused
applications
to3
|
Adopt
TechnologySolutions
to
Innovate
and
Streamline
YourRegulatory
Servicesprovide
broader
automation.
This
might
include
the
auto-classi?cation
of
documentation
or
the
identi?cation
ofpatterns
in
health
authority
interactions.Build
a
new
model
around
theaugmented
regulatory
workerSystemic
regulatory
augmentation
enablesprofessionalstofocustheirattention
onthe
vital
activities
needed
toimproveoutcomes.The
goalisnottoreplaceregulatoryprofessionals,but
tolightentheirburdenwith
innovativetechnology
andhigh-quality
data.
Augmentation
helpsmakeinformationreadilyavailableforregulatoryworkers,allowingthemtoperform
with
highere?ciency.Overall,
technology
is
helping
to
build
more
agile
modelsand
businesses
are
leveraging
long-term
implementationand
scale-up
as
opposed
to
the
“big
bang”
implementationused
previously
with
larger
applications.
Due
to
thesefactors,
there
is
an
increased
reliance
on
businessengagement
and
the
availability
of
high-quality
data
todrive
intelligent
applications
and
solutions.Considerthe
threedegreesofaugmentation:fullFromaservices
andresourcingperspective,
currenteconomicdynamics
havealsoled
toincreasedoutsourcing
tomitigatecost
increases.As
marketexpansiongrows,
companiesneed
enhancedlocalexpertise,
andthey
turn
toservice
providers
tosecurethat.
Mergers
andacquisitionsandunplannedregulatoryevents
continuetodrive
demandfortemporary
supportfrom
anoutsourcing
partner.Sponsors
arelookingforstrategic
partners
thatfuse
innovative
technology
andworld-class
services
togethertoprovidemoree?cientsolutions,
ratherthansimplyprovidingmanpowertoexecuteoperations.automation,
semi-automation,
and
exploration
(Figure
3).Fullautomationfocuses
onlowercomplexity
activities,includingbots
orrule-based
automationslikeRPA,
AI,or
those
built
into
operational
applications.
The
middlerange
of
complexity
calls
for
semi-automation
and
moreinnovative
technologies,
including
AI,
machine
learning(ML),
NLP,
LLM,
or
ChatGPT.
These
technologies
help
withdata
extraction,
data
transformation
from
one
format
toanother,suggestions
based
on
previous
experience,
andcontent
generation.
Semi-automation
uses
technology
todo
the
heavy
lifting,
and
then
provides
information
to
aregulatory
professional
to
evaluate,
expand
on,
and
?nalize.Figure3:
Multi-faceted
RegulatoryAugmentationRegulatoryprofessionalsMulti-faceted
augmentationFull
automationSemi-automationExplorationComplexityComplexityComplexityAugmentedregulatoryworker??BotsRules-basedautomation????Data
extractionData
transformationSuggestions????Smart
searchSummariesData
analysisChatbotContent
generationRPA/ApplicationsAl
/ML
/NLP/LLMAl
/ML
/NLP/LLMOperational
systems,
regulatory
intelligence,
external
data
sourcesInnovativetechnologyHigh-qualitydata
|
4With
high-complexxity
activities,
thereisapivot
from
operationstowardsstrategy
andplanning,andthe
sametechnologiesareused
inamoreexploratory
fashion.This
explorationcentersonhowtomakeinformationeasilyavailableandconsumableforhumans,so
thattheycan
makedecisionse?ciently.Itmightincludesmart
searches,summarizationofinformationordocuments,
lightdata
analysis,
orinformationprovided
throughintelligentchatbots.These
di?erenttypes
ofaugmentationrun
oneither
operationalsystems,
regulatory
intelligence,orexternal
datasources.To
maketheaugmentedregulatory
workersystem
areality,sponsors
willneed
toconsider?ve
keyareas.DATA
GOVERNANCEI.DATA
GOVERNANCEyouroperationalsystems,
predominantlywithin
the
RIMspace.Strive
tobetter
integratework?ows
anddata
setsif
theyaren’t
already.Ascenariomightariseinwhichyoudonothaveallthe
data
needed
forthe
augmentationyou’dliketodeliver.Inthissituation,data
coveragemayneed
tobe
expanded
within
the
operationalsystems
orotherdata
sourcescouldbe
added.You
mayalsowanttoincorporatefunctional
systems
outside
ofregulatorytosupport
the
businessprocessforwhichyouaretryingtocreateaugmentation.That
couldmeanputting
anintegrationinplacebetween
yourRIM
solutionandyoursafety
database.Without
good
data,
intelligenttechnologycannotmakeregulatory
workeraugmentation
work.
Dataquality
improveswith
data
governance.De?ne
whatthatlooks
likeforyourteamandthenassess
andremediateexisting
data
toimprovethefoundationofyourtechnology.II.INTEGRATED,
END-TO-END
RIMYour
RIM
system
doesn’t
need
tobe
asingleplatformfromonevendor,but
thesystems
involvedmustbe
interactive
toprovideastrong
foundationforintelligencetorun
on.The
data
issynonymous
with5
|
Adopt
TechnologySolutions
to
Innovate
and
Streamline
YourRegulatory
ServicesIII.BASIC
AUGMENTATION1.
Identifying
the
rightquestions.2.
Findingthe
rightanswers.OnceaRIM
system
anddata
governanceareinplace,basicaugmentationbegins.This
typically
meansimplementingautomationsinoperationalsystems,includingRPAinpublishing,rule-based
automationswithin
systems,
orsomethatuse
applications,likehyperlinkingandbookmarks.
Fromapublishingstandpoint,
basicaugmentationiswhereyoucanstart
implementingsupport
forinformationanddataexploration.The
goalistolookat
thedata
toapplysmart
searchesandbots
tomakeinformationmorereadilyavailabletotheregulatory
professionals,allowingthemtosave
timeandincreasee?ciency.3.
Enteringthe
relevantdata
inthe
system.This
wouldproduceamoreintelligent,e?cientprocessand,thus,
higherquality
data.V.
ADVANCEDAUGMENTATIONThe
last
phaseisadvancedaugmentation,whichincludescontentgeneration.This
mightbe
ChatGPTlookingtogenerateanationallabelbased
onacorelabel,ortotranslatealabelfrom
onelanguagetoanother.Itcouldalsobe
data
extraction
tools.ManycompaniesarelookingtoprepareforIDMPsubmissions,andthereissigni?cantdata
onhowtoextract
andtransform
informationfrom
labelsandModule3documents
tomakethatprocesslessburdensome.Some
optionsincludedata
miningorembeddingsuggestions
based
onintelligenceandexperience.For
example,when
youmakeachoice,the
system
couldprompt:Are
youawarethatinthepast
percentageofcases
youdidthis?Fromthere,aregulatory
workercouldmakeaneducated
decision.IV.REGULATORYINTELLIGENCETypically,companiesthenshift
theirfocustotheregulatory
intelligence,strategy,andplanningdomains.To
takeamorerisk-balancedapproach,considerwhat
hasbeen
donepreviously
asopposedtowhat
the
healthauthority
expects.
Sponsors
mayuse
monitoringandimpact
assessment
work?owsthatexaminehowbest
toimplementbots
andothertechnologiestodomonitoring,andhowtoputtogetheracoordinatedimpact
assessment
fornew
regulatory
requirementsacrossthe
organization.Other
companieslooktoexternal
providers
inthe
regulatory
intelligencedomaintoprovidethese
capabilities.The
impact
on
regulatory
professionalsAs
regulatory
processesarefurther
augmented,therewillbe
areduction
intask-based
andhigh-volumeregulatory
activity
(Figure4).This
re?ects
apivotfrom
theresourceallocationpyramidwesee
today,whichspendsadisproportionateamountonmanualmaintenanceactivities
thatarenotdirectly
relatedtocorecompetenciesanddevelopment.Publishingisanareawherethereisalargecrosssection
ofdataandhigh-volumethroughputtocreatearegulatorysubmission.The
associatede?orts
willbe
reduceddramaticallyvia
automation.As
aresult,
regulatoryprofessionalscan
spendmoretimeonstrategy
andwork
tomaintainoversight.Regulatory
intelligenceislargelyinformationmanagementanddocumentdriven,
utilizingquestionsandanswers.
Areferencedata
modelforkeyregulatoryintelligencecouldenableusers
tolinkintotheirRIMsystem
tostart
anddrive
intelligentwork?ows
andautomation.Informationcouldthenbe
pulledintothe
operationalsystem,
e.g.,pathway,timeline,andprerequisitesforinitialmarketingauthorizationapplications(MAAs)
orvariations.Utilizingtheregulatoryintelligenceinthismannerwillaugmenttheregulatoryprofessional,enablingthemtoprovide
targeted
answerstospeci?c
questions
ratherthan:
|
6Figure4:
HowAutomationReducesWorkloadsStrategicregulatory?
Augmented
workforce
leveragestechnology
andautomation
toaccelerateregulatory
strategySpecialty
expertiseandprogrammanagement?
Speci?c
Aorregulatory
functionalexpertise
toguidedevelopment?
Local
representation?
Humanoversight
oftechnology-enabledprograms~35%~2
5%~40%Task-basedregulatory
activity?
Augmented
workforce
dramaticallydecreases
timespent
onrepetitive,high-volume,
ormanualtasksAutomationalsoexpedites
the
gatheringandanalyzingofregulatory
intelligenceandguidancetosupport
drugproduct
strategy.As
sponsors
aimtoprioritizeresourcesonspecialty
services
andtechnologyprogramsAI
can
increasespeed
andaccuracy
forregulatory
a?airsworkersbyquickly
identifying
regulatory
pathwaysandconducting
riskassessments
thanks
topredictiveanalytics
forregulatory
outcomes.Furthermore,healthauthority
communicationscouldbe
automated,andthe
submissionandpublishingprocesscouldbegreatly
expedited
byminimizingthe
need
formanualprocessing,bookmarking,
andhyperlinking.andproduct
management,theycan
better
supporttechnology-enabled
programs.The
need
forlocalregulatory
expertise
won’t
goawayanytime
soon.As
itevolves,
teamswillneed
tomaintainhumanoversightofthe
automationsandAI
programsdeveloped.This
isamajorshift
inhowregulatory
professionalswork
todayandnecessitates
well-distributed
skillsets
andresources.There
isstill
muchtouncoverabout
ChatGPT
andothergenerative
AI
applications.Developers
andusers
mustdeterminethe
estimated
versus
actual
e?ciency
gained,aswellastheinitialandongoingcosts
andhowtomitigatethem.Itisalsoimportant
todeterminehowtosafeguardthe
data
beinginputintothese
systems.
Thisisahugeobstacle,
given
the
proprietary
natureofthedata
supported
inregulatory
a?airs,
andsomethingtobe
addressed
soonerratherthanlater.The
role
of
AIAdvancedautomation,likegenerativeAI
(GenAI),
canacceleratefunctionalities
indata
mining,data
analytics,software
operation,andregulatory
contentcreation.Throughdata
mining,regulatory
intelligenceanddocuments
can
be
gatheredfrom
avariety
ofsources.Documents
can
be
parsed
intodata
andmanipulated,whilenew
contentcan
be
generatedinmultipleformsandautomaticallyclassi?edforuse.Fromthere,wecan
interpretregulatory
intelligenceinnew
ways,
getactionable
insightsfrom
ourdata,
automaticallydevelopregulatory
strategy,andgeneratesubmissions.Thesearethe
buildingblocks
forthe
augmentedworker.IfyouconsiderguidanceandmandatesforeCTD4.0,the
industry
issometimesslowtoadoptcertaintechnologies.As
aresult,
the
timelineforimplementingsomeofthese
solutionsandrealizingtheirbene?tsmightbe
unclear.As
it
continuestodevelop,AI
willevolve
at
amuchfaster
pacethanit
hashistorically.Itiscritical
toaccountforhownarrowAI
willdevelopintoAdopt
TechnologySolutions
to
Innovate
and
Streamline
YourRegulatory
Servicesaspirational,empathicAI
andthe
potentialchallenges,both
technicalandethical,
thismaycause.Howdoesthismanifest
inthetechnologysystems
andsolutionsofthefuture
andhowdoteamsprepare?The
next
thingtoconsiderisprocess.As
sponsors
andvendors
developtechnologies,they
must
looknotonlyat
howtechnologydrives
e?ciency,but
alsoat
howexisting
processesimpact
said
technology.Determinehowtoredesignyourprocessesandimplementationframeworkif
needed.
Leverageorganizationalchangemanagementmethods
andapply
them
totechnologyadaptation.
Furthermore,
don’t
be
afraidtouse
aphasedimplementation
approach.Infact,
most
organizationspreferthiswhen
leveragingtechnology
thathasnotbeen
previously
utilized.How
to
prepare
e?cientlyAs
youbuildout
yourtechsolutionsandwork
toaugmentyourregulatory
workforce,
considerhowyoucan
preparee?ectively.
Beginbyincreasingawarenessandopennesstotechnologyandautomationacrossyourculture.To
instill
enthusiasmfortechnologyacrossyourregulatory
organization,you’ll
need
toembraceimperfection
andlearning.As
yourteamdesignssolutions,
encourageagility
andawarenessthatthe
?rstiterationofatechnologysolutionisneverthe
best.
Theprocessisoneofcontinuousimprovement.Set
theseexpectations
with
yourorganizationearly
tohelpensurethe
successofthe
augmentedregulatory
worker.Finally,evaluatehowestablishing
apartnership
withanexperienced
regulatory
resourcesorganizationcanhelpyouleveragethese
new
technologiestoprovidebetter
service
andyield
high-quality
outcomes.Seek
toidentify
partners
thatarewellsuitedtoaccommodatethe
sizeofyourcompany,type
ofdrug
products,
andstages
ofdevelopment.Culturallyalignedproviders
willhelpyourealizeyourgoalsvia
theirtechnology,resourcecapabilities,andregulatory
experience.Whether
youopttobuildyourown
system,
buy
aplatform,
orwork
with
aregulatory
services
partner,start
adoptingaframeworktoaccommodateyourprocessearly
on;thiswillensuremaximumsupport
forpatients
andemployees.Identify
technologychampionswho
understandthe
inherentvalueofnew
technologywithin
theorganization.Fromthere,involvestakeholders
viaregularmeetingsorcommunicationstokeepthemabreast
ofhowchangeswillimpact
themandthecompany.Establish
employeetrainingprogramsforusingnew
technologiestoredirect
knowledge
workersandensurethatyourresourceskillsets
areidenti?ed
andcompletetomeet
the
new
needs
ofyourorganization.
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