德勤：2024年全球醫(yī)療保健行業(yè)展望 2024 Global Health Care Sector Outlook Navigating transformation

Deloitte。

2024GlobalHealthCare

SectorOutlook

Navigatingtransformation

Contents

Introduction3

Transforminghealthcarewithartificialintelligence4

Addressingcostandaffordability12

Respondingtotheloomingglobalshortfallinhealthcareworkers19

Theroleofsocialcare25

Asustainablefuture30

Contacts36

Learnmore38

Endnotes40

Introduction

extendingcarebeyondtraditionalmedicalservicestoencompassholisticsocialcare.Thisshiftisattributedtothegrowingrecognitionoftheprofoundconnectionbetweenthesocialdeterminantsofhealthandoverallwell-being.Asaresult,providersandpolicymakersareintegratingsocialcareintopublichealthsystemsto

addressthemultifacetedneedsofpatients.

Theglobalhealthcaresectoronceagainfacesayearof

unprecedentedtransformationandchallenges.Providers

worldwidecontinuetoconfrontthelingeringeffectsof

theCOVID-19pandemic,whichhasledtowidespread

laborshortagesandrisingcosts.Thesectorhasalsobeen

buoyedbythebroaderadoptionoftechnologysuchas

artificialintelligence(AI)thatcanaddresssomeofthose

issues.

Ashealthcarecostscontinuetoescalateglobally,

theaffordabilityofcareremainsacriticalconcern.

Governments,payers,andprovidersaretakingmeasurestocontrolcostswhilemaintainingthequalityand

accessibilityofhealthcare.Fromvalue-basedcaremodelstoinnovativepricingstructures,theseevolvingstrategiesaredesignedtohelpensurecost-effectivehealthcare

delivery.

Atthesametime,thehealthcareworkforceisundergoingasignificanttransformation,drivenbyevolvingpatient

demographics,technologicaladvancements,and

changingcaredeliverymodels.Providersworldwidefacedeepshortagesofclinicians,andaretakinginnovative

approachestoimprovepay,reduceburnout,andbuild

trustinthehealthcareworkplace.Asprovidersworktoattract,train,andretainaskilledandmoreadaptable

talentpool,theroleoftelehealth,remotemonitoring,andthegigeconomyareallreshapinghealthcareworkforcedynamics.

Theglobalhealthcaresectorstandsatacrossroads

in2024,poisedforprofoundchanges.Thefutureof

globalhealthcareislikelytobeshapedbyinnovation,sustainability,socialcareintegration,costmanagement,andworkforceadaptation.

Atthesametime,healthinequitiespersistthatcould

furtheraddtothechallengesandcoststhesectorfacesin

2024.Leftunaddressed,thecostofhealthinequitiescould

tripletoUS$1trillionby2040—oraboutUS$3,000ayear

foreachperson.1

TheintegrationofAIandmachinelearningtechnologies

canplayakeyroleinaddressingtheseinequities,if

providersworktoearnpatients’trustandensurethatthey

takestepstomitigatebiaswithinthetechnology.

In2024,AIisexpectedtoplayapivotalroleinstreamlining

administration,diagnosis,treatment,andpatientcare.

Frompredictiveanalyticstoautomatingelectronic

healthrecords,AIcanfurtherenhancetheprecisionand

efficiencyofhealthcaredelivery.

Withthegrowingglobalawarenessofenvironmentalissues

andresourceconstraints,sustainabilityhasemerged

asacriticalaspectofthehealthcaresector.Healthcare

organizationsareadoptingsustainablepracticestoreduce

theircarbonfootprintandensureresponsibleuseof

resources.Fromgreenhospitaldesignstosustainable

supplychainmanagement,thisreporthighlightsthe

impactofsustainabilityonhealthcareoperations,aswell

asitspotentialforcostsavings.

Theuseofremotetechnologiesandtelemedicineadopted

duringthepandemicarehelpingtodefinenotjustthe

deliveryofcare,butalsothenatureofit.Providersare

1.JayBhatt,“Leaningintohealthequitycanbegoodforbusinessandsociety,”

DeloitteHealthForwardBlog,August10,2023,

/us/en/blog/health-care

-

blog/2023/leaning-into-health-equity-can-be-good-for-business-and-society.html.

2024GlobalHealthCareSectorOutlook|Navigatingtransformation

Bythenumbers:

US$360billion—annualpotentialsavingsfromartificialintelligence(AI)fortheUShealthcaresystemoverthenextfiveyears1

Healthcaregenerates19terabytesofclinicaldataannuallyintheUS2

TheUSmarketforinteroperableclinicaldataisexpectedtoalmostdoubletoUS$6.2billionby2026fromUS$3.4billionin20223

US$31.5billion—theamountofprivateequityfundinginvestedinhealthcareAIbetween2019and20224

1,500—thenumberofhealthcareAIvendors,halfofwhichhavebeenformedinthepastsevenyears5

Transforminghealthcarewithartificialintelligence

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

782

629

484

585

MorethanthreeyearsaftertheCOVID-19pandemic,manyhealthcaresystemsgloballyarestillstrugglingwithitslingeringeffects.Theneedtoreducecostsandimproveaccesstocare—whilestillconfrontingashortageofskilledworkersandclinicians—has

drivensomehealthcaresystemstoadoptemergingtechnologytofillthegaps.6

Technologyoffershealthcareorganizationsachancetopersonalizepatientinteractionsandtreatment,

takingpressuresoffcliniciansforroutinecare,and

enablingthemtofocusontheproceduresthatrequiretheirexpertiseandtraining.

AIandotherformsofemergingtechnologyhave

thepotentialtostreamlinebothadministrativeandcareprocessesforhealthcareproviders.Between2019and2022,investorspouredUS$31.5billioninequityfundingintohealthcareAI,andtheindustry

hasconsistentlybeenaleaderinAImergersand

acquisitions.7Thepandemicdroveanincreasedfocus

ontelemedicineandonlineportalsforacuteand

wellnesscare.Forthesectorandpatientstocontinue

benefittingfromtechnology,however,providersshould

sustaininvestmentsintechnology—muchashospital

systemsandoperatorsinvestedinequipmentand

officesinthepast.8

Sofar,thisishappeningslowly.Globalfundingfor

digitalhealthdeclinedby3%inthesecondquarterof

2023,toUS$3billion—thelowestinsixyears.9Venture

capitalfunding,whichisoftenconsideredabarometer

oftechnologyinvestmentintheindustry,fellabout

30%in2022,toUS$27.5billionfromUS$39.3billion.

However,theinvestmentlevelsstilloutpacedpre-

pandemiclevels,andoverallfundinglevelscontinueto

accelerate,excludingtheboomin2021(Figure1).

Figure1:2022wasastrongyearforhealthtechfunding

Healthtechventurecapitalfunding(US$billion)Numberofdeals

1,134

6.7

7.5

11.2

12.4

852

19.7

39.3

926

27.5

2016201720182019202020212022

Note:DatafordealsvaluedatUS$2millionandabove.

Source:PitchBookData,Inc.

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

Partofthereasonfortheslowingpaceofinvestmentmaybethatmanyprovidersmayhesitatetobeearly

adoptersofnewtechnology,especiallyforclinical

applications.Tightmarginsfromdecliningpublic

funding,fallingoutpatientrevenue,longerinpatient

stays,andlowerdemandforcarepost-pandemic

hascrimpedsomeprovidermarginsandreduced

technologyinvestments.ThemedianKaufmanHall

Year-To-DateOperatingMarginIndex,whichreflects

actualmarginsfor900UShospitals,was–0.2%

throughNovember2022.10Asdemandfortelemedicineandothertechsolutionswane,manywonderifthe

technologicaladvancesofthepastfewyearswillbepermanent.11

Yetthepotentialforfinancialbenefits,improved

caredelivery,andmoreefficientusesofresourcesis

fosteringnewfoundenthusiasmforAI.IntheUS,for

example,wideradoptioncouldgeneratesavingsof

asmuchasUS$360billionannually—roughly10%of

thecountry’shealthcarespending—inthenextfive

years.Forhospitals,thesavingswouldcomelargely

fromimprovementstoclinicaloperations,quality,andsafety;forphysicians,fromcontinuityofcare;andforpayers,fromimprovedclaimsandproviderrelationshipmanagement.12

Streamliningadministrativetasks

AI’slargestandmostimmediateimpactmaybeitsroleinstreamliningadministrativeprocessesandreducingexpenses.HospitalCEOsfacethreecorebusiness

challenges:marginpressure;recruitmentandretentionofstaff;andstaffburnout.AIhasthepotentialtoeasedocumentationburdens,handlepre-opworkflows,

andsimplifyinsuranceclaims,forexample.SomeUShospitalsareemployingAItoreviewpatientrecords

andmedicalpoliciesandaddressinsuranceclaims

denials,potentiallysavingprovidersmillionsofdollars.Morethan60%ofdeniedclaimsarerecoverable,yetbecauseoferrorsandlimitedhospitalresources,

only0.2%ofin-networkclaimsareappealed,leaving

millionsofdollarsayearwrittenoffasuncollectible.13AIcanalsominimizeerrorsandimprovecategorizationofincomingclaims,reducingbacklogsandpotential

paymentconcerns.14

Relievingcliniciansofthoseadministrativetaskscan

freeuptimeforthemtospendwithpatients.15Insome

cases,doctorsintheUSspendmorethantwo-thirds

oftheirtimeonadministrativework.WithAI-managed

electronichealthrecords(EHRs)andin-basket

management,providerscanreduceadministrative

demandsonphysicians,aleadingcauseofburnout.16

Atthesametime,AIhasthepotentialtoimprove

accesstocarethatisdesignedforpatients’specific

needs.Finland,whichbeganamajoroverhaulofits

healthcaresystemin2023,isbuildingadigitized

systemthatpledgestodeliverservicesthatareboth

personalizedandcosteffectivebyemphasizing

preventivecarethatmaykeep80%ofthepopulation

healthyby2030.Thatcanallowforadditionalsupport

forthe20%ofpatientswhoneeddiseasetreatment

orother,moreextensivecare.17Aspartofthiseffort,

Finlandanticipatesthat80%ofitscitizenswillbeusing

digitalidentificationbytheendofthedecade,andeach

citizenwillhaveaccesstodigitalmedicalrecordsand

e-healthservices.18

Improvingthequalityofcare

Inadditiontostreamliningservices,AIcanhelp

predictpatientoutcomesbasedontheirunique

healthprofiles,recommendtreatmentoptionstoboth

patientsandproviders,andalertclinicianstoconcerns

suchascontraindicatedmedicineorallergies.19

Meanwhile,generativeAIcanleveragethevarious

datasetsthatcontributetomedicaldiagnosesand

treatments,includingEHRs,sensors,andwearable

devices.Thistechnologycanplayavitalroleinearly

detectionofillnesses,interpretingradiologyresults,

andidentifyingpatientswiththemosturgentneedsfor

treatment.20

Healthcareprovidersarepartneringwithtech

companiestodevelopAItoolsthatcanbetterpredict

clinicaloutcomes,enhanceradiologicalimaging,and

optimizesleepmonitoring.NYUTron,alargelanguage

model,predictsmultipleclinicaloutcomessuchas

30-dayreadmissionrates,in-hospitalmortalityrate,

comorbidityindex,andlengthofstay.Themodel

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

reportedanaccuracyof79%inpredictingpatients’lengthofstay,a12%improvementoverconventionalmethods.21

Meanwhile,SubtleMedicalhasdevelopedtools

forgeneratingbetterradiologicalimagedataand

streamliningradiologyworkflow.Thecompany’s

proprietarydeeplearningalgorithmsenableupto

60%fasterPETandMRIscantimes,enhancingimagingefficiencyandimprovingthepatientexperience.22

AndZeppHealthhasdevelopeditsZeppAurasleep

andrelaxationplatformthatconnectswithitssmart

wearables.Thetoolofferspersonalizedsleepcoaching,sleepqualityanalysis,andAI-generatedsleepmusic

compositionsbasedontheuser’sheartratetohelpimprovesleeppatterns.23

Anotherchallengeforhealthsystemsismanaging

growingvolumesofdata.Theglobalhealthcaresectorgenerates19terabytesofclinicaldataannually.24AIcanhelpitusethisinformationmoreeffectively.Byusingcentralizedclinicaldata,providerscancreateamore

comprehensivepictureofthepatient,whileproducingmoreconsistentresultsandreducingthecostofcare.Themarketforinteroperableclinicaldataisexpectedtoalmostdouble,toUS$6.2billionby2026from

US$3.4billionin2022.25

Inthenearterm,AIcanmoreeffectivelyinterpretandrespondtoqueries,improvingpatientengagement

frominitialconsultationstopost-dischargefollow

ups.Inaddition,AI’sreal-timetranslationcapabilitiescanimproveaccessibilityandcontributetohealth

equityinareaslikesocialservices.Forexample,afterRussia’sinvasionofUkraine,DeloitteCzechRepublicdevelopedacloud-basedvirtualcontactcentercalledIRENA(ImmediateRefugeeNeedAssistance),builtonAmazonConnect,thatusedAI-enabledconversationswithavirtualagentinanylanguagepatientschose.26AsrefugeesfledacrossEuropeintheearlydaysoftheconflict,IRENAhandled10,000callsdaily,withasmanyas80%managedautomatically.

Expandingaccesstoservices

It’snotjustproviderswhocanbenefitfromAI

expandeduseincaredelivery.AImaybroadenaccess

tocareatalowercostthroughretailenvironments.

Patientscanmonitortheiroverallhealthandexercise

patternswithsmartphonesandwatches,increasing

thefocusonprevention.KrogerHealthwith12%

marketshareintheUS,operates220clinics,and

companiessuchasWalmart,Amazon,BestBuy,and

DollarGeneralhaveretailhealthcarefootprints

orhavetestedthewaters.Retailersalreadyhave

customerdata,theyknowhowtousetocreateahigh-

volumelow-costenvironment,andcanprovidemany

basicservicesforlessthanotherproviders.27

However,retailclinicsintheUSareconcentratedin

urbanandsuburbanareas,andretailershavebeen

reluctanttoopenclinicsinruralregionsbecauseof

lesscustomertraffic.Asaresult,aretailermayprovide

patientswithtechnologicalinnovation,butthose

benefitsmaybelimitedtocertaingeographies.28

AIcouldfurtherblurthelinesbetweenhumansand

technologythroughaugmentedreality,smartdevices,

andwearables.Moreover,investmentinsecuredata

environments(SDEs)andothermeasuresmayreduce

patientconcernsaboutdatasecurity.Inthefuture,AI

hasthepotentialtoassistinthreekeyareasofhealth

care:

?Intelligentdiagnosis:AI-enabledsolutionscouldsupportcliniciansinmakingprecisediagnosesusinginputsfromin-vitrodiagnostics,imaging,EHRs,

patientconversations,biometrics,images,sensors,wearables,andgenomics.

?Personalizedandadaptivecareplans:AIcould

interpretbiomarkerdatafromsmartdevicesand

wearablestogeneratetreatmentplanssuchassleepanalysis,dietarysuggestions,andevenAI-generatedmusicforstressmanagement.Moreover,ifapatientfaceschallengesinadheringtoaregimen,generativeAI-enableddigitalavatarscouldempathetically

interactwithpatientstounderstandtheirbarriersandofferpotentialsolutionsoralternatives.

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

?Populationhealthmanagement:AIcouldanalyzelargedatasetsandrecognizepatternscrucialto

spottinghealthtrendswithinapopulation.For

example,byreviewinggenomic,socioeconomic,

andEHRdata,AIcouldidentifyriskfactorsand

predictorsofdiseases,suchascervicalcancer.AI-enabledmarketingandcommunicationscouldthengeneratetailoredaudiovisualortextualinvitationsforscreeningservices.Responses,visits,andresultscouldthenbestoredandusedtobuildmorerobustmodels.29

Theessentialelementsoftrust

DespitethetransformativepotentialofAIinhealth

care,adoptionwilllikelydependonthetrustand

acceptanceofproviders,practitioners,andconsumers.

Healthcareandtechnologyprovidersshouldprioritize

responsibleandsafeuseofthistechnology.Toearn

patients’trust,thetechnologyshouldbefreeofbias,

inaccuracies,anddatabreaches(Figure2).30

Figure2:HowtomakeAImoretrusted

Source:Deloitteanalysis

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

Currently,AIismoreeffectiveathandling

administrativetasksthanindealingwithpredictive

diagnosesorcaredelivery.WhengenerativeAI

encountersgapsinitsknowledge,ittendstofillthemwithplausible-soundinginformationthatmaybe

inaccurate.TheseresultsareoftenreferredtoasanAIhallucinationorconfabulation.31

ImprovingtheknowledgebaseofgenerativeAI

requiresfindingqualityhealthcaredataandtherightfoundationmodels—bothofwhichmayrequirelargeinvestmentstoharnessthepower.Theseinvestmentscanbeessentialinbuildingpublictrust.32

TheCoalitionforHealthAI,whichincludesacademic

healthsystems,organizations,andexpertpractitionersofAIanddatascience,hasoutlinedcharacteristicsoftrustworthyAIthatinclude:

?Safety:AIsystemsshouldnotputhumanlife,health,property,ortheenvironmentatrisk.Inhealthcare,thisisfundamentallyanextensionoftheHippocraticOathto“donoharm.”AImodelscanbecomeunsafeforavarietyofreasons,includinginadequate

oversightforfairness,accountability,orbias.

?Accountabilityandtransparency:AIshouldbe

auditable;individualsshouldhaveaccesstotheir

datathatisenteredintothesystemandthesourceoftheinformationshouldbetraceable.

?Explainableandinterpretable:Physiciansshouldunderstandhowtheunderlyingprogramscompileinformation,andthesystemsshouldproduce

outputswiththecontextinwhichtheinformationisrequested.Inotherwords,healthcareAIcan’tbeopaque,thatis,withoutinsightintohowitsresultsareproduced.

?Fairandequitable:AIshouldnotincreasea

specificgroup’sriskforexperiencingbiasoradverseoutcomes.33

Regulatorychallenges

TheregulatoryclimatearoundAIingeneralischanging

rapidly.Governmentsworldwideareworkingto

establisheffectiveregulation.TheEUisleadingthe

charge.TheEuropeanCommissionestablisheda

regulatoryframeworkforAIin2021,andfinalrules

couldbeimplementedasearlyas2024.34

TheUKgovernmentinMarch2023published

guidelinesforregulatinggenerativeAIthatinclude

datareporting,lifecycleaccountability,and

industrycollaborationwiththegoalofencouraging

adaptivenessandautonomy.35

InBrazil,however,consensusamonglegalexperts,

academics,industryleaders,andregulatorshas

beenmoredifficult,andthecountryhasyettoadopt

acoherentframeworkforregulatingthediverse

applicationsofgenerativeAI.InNovember2022,a

groupoflegal,academicandindustryexpertsworking

withthecountry’sNationalDataProtectionAuthority

publishedguidelinesthatfocusedontherightsofthe

citizens,riskcategorization,andgovernancemeasures,

butthedocumentisbeingdebatedatvariouslevelsof

theBraziliangovernment.36

TheUS,meanwhile,hasnotadoptedcomprehensive

nationalregulatorylegislation,resultingina

fragmentedframeworkofstaterules.Tobring

greaterclarity,theBidenadministrationissued

anexecutiveorderaimedatgoverningtherisks

associatedwithAI.37,38

Thedisparityinapproachestoregulatingand

monitoringAIcouldposeadditionalchallengesto

healthcareproviders.

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

DeployingAIresponsiblyinhealthcare

AIhasthepotentialtotransformhealthcareby

optimizingbothadministrativefunctionsandcare

delivery.Itwillhavefinancialandnon-financialbenefitsfortheglobalhealthsystem,suchasimprovedcare

quality,enhancedpatientexperience,andgreater

cliniciansatisfaction.Privateprovidersmaygainthe

greatestbenefitsfromoptimizationincare,claims,andproviderrelationshipmanagement.

CompaniesthatinvestinAIearlyandidentify

opportunitiesforapplyingitacrossthevaluechainarelikelytogainacompetitiveadvantageanddelivermorepersonalizedcaretopatientsinthecomingyear.

However,companiesmusttakestepstoensureAIis

deployedresponsiblyandthatitsuseandprocesses

aretransparentandauditable.Organizationsthatdon’tbuildthisintotheirAIstrategyriskalienatingpatientsandotherstakeholders.ForthosewhobuildtrustinAI,thetechnologycancontinuetounlocknewinnovationsforyearstocome.

ForAItobeeffectiveinhealthcare,bothmedical

professionalsandpatientsshouldhaveconfidenceintheresults,understandhowthoseresultsare

achieved,andhaveconfidencethattheirconfidentialinformationwillbeprotected.

Considerationsforproviderstobuild

trustintotheirAIstrategy

Providersthatwanttofostertrustaroundtheiruseof

AIshould:

?AdoptstronggovernancepracticesaroundAItohelpensuretheorganizationcaninnovatewithconfidencewhilereducingtherisksthatcomewithcomplex

technology.

?Prioritizepatientdataprivacyandprotectionfrom

cyberthreatsbyaddressingexternal,physical,

anddigitalrisks.Oncetherisksareassessed,

organizationsmustdetermineiftheserisksoutweighthepotentialbenefits.

?EstablishresponsibilityandaccountabilityforAIin

theorganization,reviewrulesandregulationsthatmightdeterminelegalobligations,andensurethatAIsystemsareauditable.

?PromotetransparencybyinformingconsumershowAIisusingtheirmedicaldatatomakedecisions.AI’salgorithms,attributes,andcorrelationsshouldbeopentoinspection,anditsdecisionsshouldbefullyexplainable.

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

Efficientandaccuratediagnoses

Diagnosisoftendependsoncomplexfactors,includingpatienthistoryandgenetics.AIcanimprovethemby:

?Analyzingextensivemedicaldata:AIcan

uncovercomplexpatternsandcharacteristicsthatmightbeoverlookedbyhumans.

?Offeringrecommendations:AItechnologiessuchasdeepneuralnetworksandmachinelearningcanenhancetheanalysisofpatientdata.

Personalizedhealthcare

Precisionmedicineconsidersanindividual’sgenetics,environment,andlifestyletoprovidetailored

treatments.AIcandelivermorepersonalizeddiagnoses,prevention,andtreatmentby:

?Connectingvariousdatasets:Machinelearningalgorithmslinktreatmentoutcomestodiversehealthdatasets.

?Analyzingandcollectingvastdata:AIandmachinelearningenablemoreeffectivedatacollectionandanalysis.

?Developingpersonalizedtreatmentsandcare:

AIanalyticsallowhealthcareproviderstodeliverpersonalizedcare.

Optimizinghospitalstaffingandresources

Demandforhealthcarerisesandfallsinresponsetoacomplexrangeoffactors,makingitdifficultfor

hospitalstooptimallyallocatetheirsupplyofcriticalresourcessuchasmedicalequipmentandstaff.

PredictiveAIcanforecastpatientvolumesandhelphospitalsadjuststaffingandresourcesaccordinglyby:

?Predictingfutureresourceneeds:Datamining,modeling,andAIprovideinsightsforresource

allocation.

?Analyzingdetaileddata:AIandmachinelearningofferacomprehensiveunderstandingofhealth

status.

?Identifyinghigh-impactpatternsandtrends:AI-drivenanalysisrevealshiddentrendsandpotentialrisks.

DeloitteAIDossier

HowAIistransforminghealthcare

AIisrapidlybecomingacompetitivenecessityinthehealthcaresector.YetmanyorganizationsarestillunderstandingwhatAIcanmeanforthem.Deloittecreatedthe

AIDossier

togiveleadersindifferent

industriessummariesofkeyissuesand

opportunities,andhowAIcanhelpachievethem.

TheDossieridentifiedseveralkeyareaswhereAIcanbenefitthesector.

Enhancingpatientengagement

Manypatientsstruggletobookappointments,

accessmedicalrecords,determinewhichservicesareavailabletothem,andgetanswerstosimplelogisticalquestions.AIcanimproveinteractionsbetweenpatientsandprovidersby:

?Simplifyingcomplexmedicalinformation:

Naturallanguageprocessingcanmakemedical

datamoreunderstandabletopatients,increasinghealthliteracy.

?Streamliningcommunicationamonghealthcareworkers:AIandmachinelearningcanfilterandsharerelevantinformationefficiently.

?Acceleratingdatabasesearches:AI-enableddatabasesimproveinformationretrievalandreliability.

?Enhancingchatbots:Chatbotscanassistwithpatientquestions,appointmentscheduling,andreferrals.

?Personalizingpatientengagement:AI-drivenprescriptiveanalyticscansuggestpersonalizedactionsforpatients,increasingfocusoncaredelivery.

Automatingclaimsmanagement

Traditionalclaimsmanagementiscostly,slow,anderror-prone,oftenrelyingonmanualdatainput.AIcanassistby:

?Automatingclaimsdataextractionandinput:

Roboticprocessautomationtoolsextractdatawithoutmanualintervention.

?Providingreal-timeupdatesandmonitoring:AIsystemsofferreal-timestatusupdatesandclaimsmonitoring.

?Automatingfollow-upsanddenials:RepetitivetasksrelatedtoclaimscanbehandledinstantlybyAItools.

?Analyzingclaims:AI-enableddataanalysisprovidesreal-timeinsightsonfiledclaims.

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2024GlobalHealthCareSectorOutlook|Navigatingtransformation

Bythenumbers:

3.3billion—thenumberofpeoplewholiveincountriesthatspendmoreondebtservicethanonhealthandeducation1

47%—thepercentageofhealthcareproviderswhosayaccessisworsethanithasbeenduringthepasttwoyears2

US$12,500—theamountpercapitathattheUSspendsonhealthcare3

80years—theaveragelifeexpectancyinBelgium,Denmark,andFinland,drivingagrowingneedforlong-termcare4

10.3%—theamountofarecentpayincreaseforfirst-yeardoctorsintheUK5

Addressingcostandaffordability

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2024GlobalHealthCareSectorOutlook|Navigatingtransfor