数据驱动医疗革命：全球健康网络经济的崛起路径（英）

IncollaborationwithCapgeminiBetter

Together:Buildinga

Global

HealthNetwork

Economythrough

DataCollaborationW

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5Images:Getty

ImagesContentsForeword

3Executivesummary

41

Aglobal

needfordata-driven

health

51.1The

potentialofhealth

data

51.2Why

healthsystemsshouldact

now51.3

How

healthdatacantransformthefutureof

health62

Visionfora

healthdata

networkeconomy72.1The

powerofnetworkeffects

in

health73

Frameworkfor

healthdatacollaboration103.1.Comprehensive

healthdataenvironment113.2

Priorityenablersfor

healthdatacollaboration123.3Componentsforimplementation134

Activator

Network:Anapproachforsystemschange154.1The

DHT

Initiatives’sapproachand

role

in

healthdata154.2

UsingtheActivator

modeltocreate

proofpoints164.3

Pathforward:

Marketsand

roadmap16Conclusion18

Appendix:Casestudies19Contributors25

Endnotes

27BetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration2TheWorld

Economic

ForumandCapgemini,through

theirpartnershipinthe

Forum’s

Digital

HealthcareTransformation(DHT)initiative,recognizethe

pivotal

roleofhealthdatacollaboration

in

reshapingthefutureofhealthcare.

Byfosteringaglobal

healthdata

networkeconomy,thisinitiativeaimstohelp

catalyse

aneweraofhealth

data

sharing

and

collaboration,

unlockingfar-rangingnewpossibilities.With

healthcaresystemsgloballyfacing

mounting

pressures–fromageing

populationsand

risingchronicdisease

ratestothe

impactsofclimatechange–

maximizingthesocietalvalueof

health

data

is

not

merelyanopportunity

buta

necessity.By

unitingstakeholdersacrossthe

healthcarespectrum,weaimtobuild

an

ecosystemthatthrivesontrust,collaborative

innovationand

new

valuecreationfor

patients,

businessandsociety.This

paper

laysthegroundworkforadata-drivenhealthcarefuture.

It

invites

leaderstojoin

us

inshapingaworld

inwhichdigitaltransformation

is

no

longeranaspiration

buta

realitythat

saves

lives

and

improves

healthworldwide.Theconvergenceofdigitaltechnologyand

health

presentsanunprecedentedopportunityto

address

thesystemicchallengesthat

have

long

plaguedglobal

healthcaresystems.

Despiteadvances

indigitaltools,artificial

intelligence

(AI)andotherfrontiertechnologies,thetrue

potentialofdigitalhealthcaretransformation

remains

unrealized.

Inlarge

partthis

isduetoan

inabilityto

make

full

use

ofhealthdata,thefundamental

enabler

ofall

digital

healthtechnology.Systemic

barriers

have

hindered

progress,

preventing

healthcaresystemsfromfully

embracingthedigital

revolution.Healthdata,forthepurposesofthispaper,broadlyencompassesanyinformationcollectedaboutthehealthandwell-beingdrivers,statusoroutcomesof

individualsorpopulations.Thisincludesdatafromelectronic

health

records(EHRs),genomic

information,

medicalimaging,dentaldata,wearabledevicesandsocialdeterminantsofhealthamongothersources.Thesediversedatasetsarecriticalfordriving

informedhealthcaredecisions,enablingbetterpatient

outcomesandsupportingsystemicinnovation.BetterTogether:BuildingaGlobal

Health

Network

Economythrough

DataCollaborationForewordBetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration3January2025This

reportenvisionsaglobal

health

datanetworkeconomy–an

interconnectedsystem

in

whichdiversestakeholders

including

healthcareproviders,

patients,

pharmaceuticalcompanies,tech

innovators,governments,

researchersandotherscollaborateto

maximizethevalueofshared

information.

Byenablingsecuredata

exchangeand

broaderaccessto

richdatasets,this

network

economycandriveadvances

in

diagnostics,accelerate

research,support

precision

medicine

anddeliver

highly

personalized

patientcare.Integrating

healthcaredata

nodeswithinthisecosystemwouldcreateanetworkworth

far

more

thanthesum

of

its

parts.Movingtowardsthispowerfulnetworkwillrequiresignificant,concertedandcoordinatedefforttoovercomekeybarriersthat

have

prevented

itsformation.Thispaperoutlinesthestrategicstepsneededtopromotetrust,standardizationandinteroperabilityinbuildinga

robust

health

datanetworkeconomy.Thesesteps

must

bridgeexisting

divisions,ensuredata

quality

and

governanceand

betteralign

healthdata

policies,

practicesandstandardswithglobal

health

objectives.Collaborativeaction

is

necessarytocreate

aclearer

pathwaytowardsaglobal

healthcaretransformationthattakesacoordinated,

data-drivenapproach–settingthe

stage

for

sustainable

improvements

in

healthcareforyearstocome.Inthe

evolving

landscape

ofglobal

healthcare,health

data

stands

out

as

an

immenselypowerfulyet

largely

untapped

resource,

poisedto

revolutionize

patient

outcomes,

broadenhealthcare

access

and

enhance

systemicefficiency.

Despitethe

rapid

growth

in

healthdata,

much

of

it

is

not

shared

and

remainsunderused–

hindered

byfragmented

standards,uncoordinated

practices

and

misalignedincentives–

resulting

in

a

lack

ofsignificant

real-world

clinical

applications.This

gap

between

datacreation

and

practical

use

underscoresthe

needfor

transformative

health

data

collaboration

tounlock

its

potential.The

needfor

a

connected

health

data

networkextends

beyond

enhancing

current

healthsystemsto

reduce

patient

harm

and

resourcewaste;

it

is

also

essentialfor

reimaginingthefuture

of

healththroughAI-driven

solutions

andemerging

technology.While

sectors

outsidehealthcare

advance

in

artificial

intelligence

(AI)and

data

analytics,

healthcare

systems

remainconstrained,

missing

critical

opportunities.Compoundingthese

challenges

are

systemicpressures,

including

rising

rates

ofchronicdisease,

ageing

populations

and

insufficientresources

.These

issues

highlightthe

urgent

needfor

a

coordinated

global

responseto

align

healthdata

practices

with

health

system

objectives.ExecutivesummaryDevelopingaglobal

healthdata

network

willenabledatato

fulfil

its

potential

totransform

healthsystemsanddelivery.BetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration4Intherapidlyevolvinglandscapeof

global

healthcare,

healthdatapresentsaremarkable

opportunitytoenhancepatientoutcomesandsystemicefficiency.Despitehealthdata’sexponential

growth–fuelledbyadvances

in

big

data,AIand

generative

AIandconstitutingabout30%

ofthe

world’s

datavolume1

–

its

practical

use

lags

dramatically

behind

itsaccumulation.The

keyopportunity

lies

incollaboration

betweenthe

publicand

privatesectorstocombine

multiple

datasourcestodrive

newvalue.Whilesubstantial

amountsofhealthdata

originatefrom

traditionalsourcessuchas

hospitalsand

research

institutions,

thesedatasetsareoften

notshared

or

are

restricted

and

lackacommonglobalstandard.Althoughstandardssuchas

Fast

Healthcare

Interoperability

Resources

(FHIR)exist,offeringafoundation

for

interoperability,theyare

notyetfully

implemented

oroptimizedacrossall

regions

and

systems.Additionally,asignificantvolumeof

data

notexplicitlytaggedas

health-related(e.g.

rangingfrom

wearablesdatatoweatherdatatoautomotive

data)still

holds

immense

potentialfor

improving

healthoutcomes;

inthe

new

paradigmofdigital

health,a

broadspectrumofdatacan

serve

health

purposes,

provided

it

isappropriately

integratedandanalysed.Asthevolumeof

health

data

continuesto

rise,thegap

betweendata

availability

and

its

practical

use

in

healthcaregrowsevenwider,

exacerbatingthesesystemicchallenges.This

underscorestheimportanceofestablishinga

robust

frameworkfor

collaborativedata

integrationand

use.

Numerousstakeholders

have

beenadvocatingforthis;forexample,the

NationalAcademyof

Medicine’sreport2

highlightsthesteps

neededto

create

alearning

healthsystemthrougheffective

healthdatasharing,offeringa

roadmap

for

overcoming

barriersto

integration.TheOrganisationforEconomicCo-operationand

Development(OECD)’s

reportHealthinthe21st

Century3emphasizesthecritical

role

ofdigital

healthsystems

in

improvingcaredelivery,

identifyingintegrationandstandardizationas

key

enablers

fortransformativechange.Aglobalneedfor

data-drivenhealthThere

isan

urgent

needtocollaborate

oncollecting

healthdatatotransform

thedelivery

of

care.The

urgencyofthe

needfor

immediateactiononhealthdatacollaborationcannot

be

overstated,and

it

is

highlighted

bythe

potential

benefitsforimprovedhealthoutcomesandsignificant

economic

savings.

By

making

useofthisvastyet

largelyuntapped

resource,the

healthcaresectorcoulddramaticallyenhancecarequality,

reduce

mortality

ratesandcut

healthcare

costs.Reductionoreliminationofpatient

harm

presents

anopportunityforsystemicdataimprovements.Morethan50%oftheharm4

thatoccurs

inhealthcaresettingsispreventable.

Inaccuratediagnoses5

frequentlyariseduetoincomplete

patient

information,whiledelaysintreatmentoccurwhenmedicalhistoriesarenot

readilyaccessible

betweenproviders.

Medicationerrors6

stemfrom

inconsistent

patientdata,andopportunitiesforpreventativecare

areoftenmissedbecauseoffragmented

patientrecords.

Poorcarecoordination,exacerbatedby

alackofdatasharing,furthercompoundsthecomplicationsandincreasestheriskof

harm.These

preventable

issues

highlightthecriticalimpactthat

betterdata

management,sharing,analyticsand

insightscan

have

inaddressingthe

gaps

in

healthcare

practicesand

improved

patient

outcomes–gapsthat

havea

real

impacton

lives

andcosts.

Betterdatacollaborationcould

helpleadthewayto

preventingapproximately3

million

deaths7

worldwideeachyear,whichequatestomorethanfivedeaths

per

minute.1.11.2WhyhealthsystemsshouldactnowThepotentialofhealth

dataBetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration51collaboration11

toensureswiftand

effectiveresponses.

Internationalcooperationcanalsobridge

resourcegaps

in

low-and

middle-income

countries,enablingthemto

useshareddata

and

lessons

learnedto

improve

healthcaresystems.Drivingfrontierinnovationoncomplexhealthchallenges.Advancesinmedicalscience

allowforcomplexglobal

healthcare

issues–such

asoncology,

neurodegenerativediseases,chronicconditionsand

mental

health–to

betackled

more

effectively.Thesechallengesstemfrom

intricaterootcauses

requiringcomprehensivedatafromdiverse

populations.Solutions

includesystemsfor

longitudinal

patientdata,

integrateddataecosystemsand

progresstowards

personalizedmedicine.Thesefoundationssupportpopulationhealth

management,

newtreatmentsandtargeted

prevention.Collaborationviafederatedapproaches,

asoutlined

inthe

Forum’sSharingSensitiveHealth

DatainaFederatedDataConsortiumModel,ensuressecuredatasharing,

revealingactionable

healthtrendsanddriving

breakthroughs.Thecollectionandsharing

of

health

data

alonecannotaddressallofthe

challenges

outlinedabove.Whiledata

isacritical

enabler,transforming

healthcare

requiresacollaborative,

multistakeholder

approachthat

integratesdiverseexpertise,resourcesand

perspectives–

newdataapproaches

must

becombinedwithnewapproaches

on

other

keyaspectssuchasorganizational

and

businessmodels,

incentives,

policiesand

more.Thecurrent

underuseofhealth

data

not

onlyfails

to

preventthese

harms

butalso

hampersthetransformative

potentialofnewdevelopmentsin

healthcare.Thereareseveral

majorstrategicrationalesfor

investing

in

healthdatacollaboration.FuellingAItransformationinhealthcare.Thehealthcaresector

risksfallingfurther

behind

in

technologicaladvanceswithout

robusthealth

dataandawell-developeddigital

infrastructure.Thisfoundation

includeseverythingfromsecureplatformsandcloudenvironmentsto

managedata,toadvanced

medicaldevicesandwearables

capableofreal-time,

high-qualitydata

gathering.

Effectivedatafoundationsarecrucialfor

enabling

AItechnologies9

thatcansignificantlyenhancehealthcareefficiencyandoutcomes.Unlocking

value-based

care.

Existing

healthsystemsstrugglewithtransparencyand

measuring

outcomes,whichimpedestheprogresstowardsvalue-basedcare

models.Strategicdata

usecoulddrivesubstantial

improvements

inthisarea.

Establishingadata-drivenapproach10

lays

thefoundationfortransformativeshifts

in

health

systemsthat

prioritize

measurableoutcomesand

patient-centredvalue.Promotinginternationalhealthcooperation.Global

healthchallengessuchas

pandemics,the

health

impactsofclimatechangeand

chronicdisease

management

necessitate

unprecedented

levelsofsimultaneousdata

sharing

and

globalchannelled

intoenhancing

healthoutcomes,particularly

in

regionswithstarkhealthdisparities.While

inadequate

use

of

available

health

data

isnottherootcauseofthesechallenges,usingdatamoreeffectivelypresentsasignificantopportunityto

addressthem.Enhancedaccesstoanduseofhealth

datacansupportsafer,moreinformedcare,ultimately

reducingfatalitiesandimprovingpatientoutcomes.Strongervalue

modelsfordatacollaborationcouldsignificantly

reducethefinancial

implications

andcosts,too,whilealso

presentingsignificantopportunitiesforgrowthand

investment.Currently,

poor

healthdata

usecosts

morethan$800

billion

annually,8

representingachancefor

reinvestment

in

health

improvementandeconomicdevelopment.

Eachday,thisamountstoa

loss

of

approximately

$2.2

billion–fundsthatcouldotherwise

beHow

health

data

can

transform

the

future

of

healthBetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration61.3Healthdatacollaborationhasthe

potentialtotransformhealthcaresystemsby

promotinganetworkeffectthatamplifiesthevalueofinformation

sharedbetweenstakeholders.

Inthiscontext,anetworkeconomyreferstoanenvironmentin

which

thevalueofdatamultipliesas

morestakeholderscontributetoandaccessitanextensionofMetcalfe

s

Law12

intothehealthcaresector.Thiscreatesanexpansivewebofinsightsthat

benefits

bothindividualandcollectivehealthcare

outcomes:asparticipantsengagewithinterconnected

healthdatawithinnetworks,insightsdeepen,enhancingthe

accuracyofdiagnoses,treatmentsandinnovations.Byadvancing

healthdatacollaboration,this

networkeconomyestablishesafoundation

whereeach

participant

sdatacontributionsyieldsystem-widebenefits,promoting

forward-thinking

healthcaresolutions.Thecollectiveintelligencewithinthissystemsupportscontinuous

breakthroughs

in

healthcaredelivery,

policyandinnovation,creatingacycle

of

improvementand

impactfulgrowthacrossthesector.Thefollowingsectionsexplorethespecific

impactsof

awell-

functioning

healthdatanetworkeconomy.Acceleratedinnovation

in

precisionmedicineAs

healthdatacollaboration

increases,accessto

large-scale,diversedatasets

becomes

possible.Thisdatavarietyacceleratesthedevelopment

of

AI-powereddiagnostics,

precision

medicineand

personalizedcare

pathways.The

principle

benefits

oftheseadvances

include:Earlierdiseasedetection.

Preventative

careand

early

diagnosis

can

be

achievedthroughpattern

recognitionandtrendanalysis.

Currentmodels

can

predict

the

onset

of

chronicdiseases

such

as

diabetes

and

cardiovasculardisease,which

together

account

for

around20

million

deaths

annuallyworldwide.13Personalizedtreatmentplans.

Insightsfrom

patient

health

records,genomicdata,connectedsensortechnologies,demographics

and

lifestylefactorsenablethecreation

oftailoredtreatment

plansfor

individual

needs.Population

genomics.

Large-scale

genomicprojects,suchasthe

Emirati

GenomeProgramme14

ortheGenomeof

Europe,15

use

advanced

DNAsequencingandAItechnologies

togeneratecomprehensivegenomic

data.Thisdata

helps

in

improvingthe

understanding

ofgeneticvariationsanddevelopingtargeted

treatmentsforspecificpopulations.Ina

healthdata

networkeconomy,each

participant

contributestoand

benefitsfromthegrowing

poolof

data,creatingcompoundingvalueovertime.Improvedhealthcaredeliveryand

operationalefficiencyCollaborativedatasharingamong

healthcareprovidersenhancescaredelivery

by

making

itfaster,

moretimelyand

bettercoordinated.With

real-time

accessto

patient

recordsamongandbetweeninstitutions,clinicianscan

make

betterdecisions,

avoid

redundant

proceduresand

reducecosts.Notall

healthcaredata

needsto

beshared

or

used

universally;aselectiveandstrategic

approach

can

optimize

resource

useandstreamline

processes.The

principle

impacts

include:Carecoordination.

Healthdatasharingensures

thatcaresystemscan

adaptto

each

patient

sjourney,enabling

personalized,data-driven

decisionsthatenhanceoutcomes.Real-time

patient

records.

More

seamlesssharingofpatient

recordscan

significantlyimprovecarecoordinationanddecision-makingacross

institutionalandjurisdictional

boundaries.Vision

for

a

health

datanetworkeconomyCollaborationondatacan

speed

innovation,

improvedelivery,

boost

preventionandadvance

research

in

healthsystems.Thepowerofnetworkeffectsin

healthBetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration722.1–Financialoptimization.Streamliningprocesses

and

reducing

inefficienciescan

lowerunnecessary

medical

procedures,

improve

diagnosisaccuracy,decrease

readmissions

andcut

overall

costs.–Enhancedefficiencyforhealthcareproviders.Streamlineddataaccess

reducesadministrative

burdens,freeing

uptimeforhealthcare

providerstofocuson

patient

care.–Enhanced

patient

safety.Access

tocomprehensiveand

up-to-date

patientdatareducesthe

riskof

medicalerrors.

Real-timehealthdataallows

for

faster

identificationofadversedrug

interactions,

allergy

alertsand

potentialcomplications,ensuringthathealthcare

providerscan

makesafer

decisions.Theseefficienciesare

amplifiedwithin

a

networkeconomy,wherethe

morestakeholdersadoptdata-sharing

practices,the

morestreamlinedhealthcaredelivery

becomesacrossthe

system.Enhancedpublic

healthmonitoringandpreventionIncreasedcollaborationenables

real-time

public

healthsurveillanceand

more

agile

responsesto

healthcrises.Withdata-sharing

networks,

stakeholderscansee

benefits

such

as:–Real-timemonitoring.Timelyaccesstodata

from

health

records,wearablesandotherdigital

sources

providescurrent

insights

intodisease

outbreaksand

healthtrends,facilitating

rapiddetectionand

responsetoemergingthreats.–Predictiveanalytics.By

integrating

clinical,laboratoryandsocialdata,acomprehensiveviewofpopulationhealthemerges,allowing

predictive

modelstoidentifypotentialdisease

hotspotsand

forecasthealthtrends,improvingpreparedness.–

Evidence-basedhealth

policies.Comprehensive

healthdataaccess

informspoliciestailoredtospecific

regional

andpopulation

needs,enabling

moreeffective

and

locally

relevant

public

healthstrategies.–Improved

resource

allocation.

Healthdata

networks

help

prioritize

resources

inlow-resourcesettings

bydirecting

essential

suppliesand

personneltoareas

of

greatest

need.Also,during

healthcrises,

real-timedataenablesthetimely

allocation

of

medicalsuppliesand

resourcesto

hotspots.–

Improvedcommunicationandpublicawareness.

Healthdata

networkscanenhancecommunication

between

public

healthofficialsandthe

public.Through

data-drivenalertsand

informationdissemination,

citizens

can

be

better

informedaboutemerging

health

risks,

increasing

publicengagementandmaking

it

possiblefor

peopletotake

proactive

health

measures.Awell-developed

healthdatanetworkempowers

public

healthsystemsto

betteranticipate,

prevent

and

managecrises,deliveringwidespread

benefits

tosociety.

However,achievingequitywithinthese

networks

requires

prioritizingdatacollection

inunderservedareastoensurethey

are

not

leftbehind.Whiledata-rich

regionscanalready

make

useofextensivedatasetsto

advance

healthcare

innovation,

underserved

regions

mustfirstfocus

onestablishingfoundationalsystems.Thisdualapproachensuresthat

healthdata

networksare

inclusive,enabling

impactfuloutcomesforallpopulationsand

promotingglobal

healthequity.BetterTogether:

BuildingaGlobal

Health

NetworkEconomythrough

DataCollaboration8Advancedmedicalresearch

andinnovationAcollaborativenetworkeconomycreatesincentives

forthedevelopmentofinnovativebusinessmodelsthatthriveondataexchangeandanalytics.Thissystembenefitsnotonlyhealthtechnologystart-upsbutalsopharmaceuticalcompanies,healthcare

providers,insurersandotherstakeholdersstruggling

withlimiteddataaccess.Theevolvingdataeconomy

offerstransformativeopportunitiesacrossthehealthcarelandscape,enablingautomatedadvances

in

AI

and

algorithmic-led

care

delivery,research

and

operationalefficiency.Examplesincludethefollowing:–

Streamlinednewdrugdevelopment.Longitudinalreal-worlddatacollectedvia

remote

monitoringenhancessafety,validatesefficacyandshortensdrugdevelopmenttimelines,significantly

reducingcoststhatcurrently

range

from$300

millionto$3

billion.16–Enhanced

medical

research.Aggregatedpatientdataenables

researchersto

identify

correlations

inongoingandfailed

research,

improvingdisease

understandinganddrug

developmentand

refiningtreatments.With

moredata,these

insightscan

accelerate

breakthroughs

beyondcurrentcapabilities.–

Collaborativeclinicalinnovation.Thefragmenteddrugdiscovery

processoften

leads

toduplicatedeffortsand

inefficiencies

acrossvariousfields.

Establishingacentral,open-sourcedatabaseforclinical

researchaccessible

toallstakeholderscould

significantly

improvesuccess

rates,

reducecostsandencouragebroadcollaboration

in

manytherapeutic