2024 醫(yī)療未來醫(yī)療健康行業(yè)中的 AI 變革第六版（英）-羅蘭貝格

STUDY

Futureofhealth6/

TheAI(r)evolutioninhealth

MANAGEMENTSUMMARY

Futureofhealth6/

TheAI(r)evolutioninhealth

Everyyear,RolandBerger'sFutureofhealthstudyfocusesonatopicofparticularrelevanceforthehealthcaresector.Forthisyear'sstudy–thesixthinour

series–weconsulted100managersandboard-levelexecutivesin12countries,1combiningdetailedinterviewswithabroadersurveyofattitudesand

expectations.Ourfocuswasonatopicthathasdominatedthepublic

discourseacrosshealthcaresectorsinrecenttimes:artificialintelligence(AI),includinggenerativeartificialintelligence(GenAI).

AIisexpectedtobringarangeofbenefits:Somecommentatorsare

predictinggroundbreakingqualityimprovementsincare,whileothersforesee

unparalleledeconomicbenefits.AIislikelytoimpactbusinessmodelsand

processesacrossthehealthcaresector.Butwillthenewtechnologycause

arevolutioninhealthcareoragentlerprocessofevolution?Howareplayers

applyingthenewtechnologytodayacrosstheindustry–andhowdotheyseeitimpactingdifferenthealthcaresectorsandtypesofhealthcareorganizationsoverthenextfiveyears?

Inourinvestigationweconcludethat,overall,AIwillcausewhatcanbest

bedescribedastherapidevolutionofhealthcare.Thisfast-pacedprocessof

evolutionwillbringsubstantialchanges,butitwillallowenoughtimeforplayerstoformulatecarefulstrategicresponses.Someareasofhealthcarearealreadyseeingrapidtransformation:Inhospitals,forexample,52percentofrespondentsreportusingAIatleastpartiallyintheirstandardmedicaldiagnosticoperations,withanother32percentcurrentlypilotingsuchsolutions.However,otherareas

areprogressingmoreslowly:Inthefieldoftherapy,36percentofhospitalshavenotstartedusingAIatall.Thepatientjourneywillimprovethroughpersonalizedtreatmentratherthannewproducts.Joblandscapesareshifting,withtechnicalrolesfacingthemostdisruption.However,anumberoforganizationsarelaggingbehind,withonly29percentfeelingpreparedtoexploitAIforcompetitive

advantage.Tobridgethisgap,strategicpartnershipswithtechgiantsarefavoredby87percentofrespondentsoverin-housedevelopment.

Themessageforstakeholdersacrosstheindustryisclear:Embrace

therealityofanAI-drivenfutureorriskbeingleftbehind.Actionisneededanditisneedednow,whilethereisstilltimeforcarefullyconsidered

planningandexecution.

2|RolandBerger

Coverphotoimaginima/iStock

Contents

P4

P7

P14

P21

P30

P33

1/Revolutionorevolution

HowwillAItransformhealthcare?

2/Standingstillmeansgoingbackward

AIprovidesawayforward

3/Impactonpatientjourneyandsectors

Whatliesahead?

4/Implicationsfororganizations

Adaptationandinvestment

5/Futurescenarios

Thenextfiveyears

6/Recommendations

Fivestrategiesforstakeholders

TheAI(r)evolutioninhealth|3

Revolutionorevolution

HowwillAItransformhealthcare?

H

ealthcaresystemsarefacingpressureonmultiple

fronts,fromashortageofskilledworkerstoincreasinglystrictregulationandever-expandingcomplexityinareassuchasinformationmanagement.Intensifyingcostpressure,partlytheresultofagingpopulationsinmanycountriesaroundtheworld,isforcingplayersinthehealthcareecosystemtoadaptandfindnewwaystoboosttheirproductivity.2Onesolutionthathasthepotentialtobeagame-changerliesinthewidespreadapplicationoftechnologybasedonartificialintelligence(AI).WithinthebroadercategoryofAI,generativeartificialintelligence(GenAI–seeDefinitions)standsoutasaparticularlypromisingsubfieldthatcanofferinnovativeapproachestotacklethesechallenges.

Manyhealthcareexecutivesarealreadyexploringthepossibilitiesofusingthesenewtechnologiesintheiroperations.4Accordingtoajointstatementbythreeglobal

DEFINITIONS

AI(artificialintelligence)

Abranchofcomputersciencethataimstocreatemachinescapableofperformingtasksthatwouldnormallyrequirehumanintelligence,suchasvisualperception,speechrecognition,decision-makingandlanguagetranslation.

GenAI(generativeartificialintelligence)

Atypeofartificialintelligencethatcangeneratenewcontent(text,images,videos)andisassociatedwiththeriseoflargelanguagemodelsandchatbots,suchasChatGPT.3

Note:OurinvestigationcoversabroadspectrumofAI,includingGenAI,machinelearning,deeplearning,agentsandmultimodalAI.

leadersinhealthcarepublishedattheWorldEconomicForum,advancementsindataanalyticsandAIarehighlypromisingandAIwilllikelytransformhealthcaredelivery,drivegroundbreakinginnovationsinhealthresearchandimproveoverallhealthoutcomes.5ItisclearthatAIwillcausemajordisruptionintheindustry.Whatislessclear,however,iswhetheritwillcauseasuddenrevolutionormoreofasteadyevolution.

Ourdetailedresearchandconsultationswithindustryinsidersleadustobelievethat,overall,AIwillcausewhatcanbestbedescribedastherapidevolutionofhealthcare.AIisdevelopingbothdisruptively(arevolution)andincrementally(anevolution),dependingonthespecificareathatthenewtechnologyisappliedin.Already,itisevidentthatAIwillhaveamajorimpactonplayers'businessmodels,requiringanurgentresponse.YetmostorganizationsarestillapproachingAIfromtheperspectiveofhowtheycanuseittoimprovetheirownoperations,neglectingthebroaderperspectiveofhowitwilltransformtheecosystembeyondtheirownorganizationalboundariesinwaysthatwillultimatelybenefitpatients.

AIisrelevantforalltypesofplayersinthehealthcarevaluechain,frompharmaceuticalcompaniestoindividualhealthcareprofessionals.Weareseeingawiderangeofresponsesfromthoseplayers,fromhealthinsurancecompaniesthatalreadydigitalizedtheiranalysesandinternalprocessesfiveyearsback6tomedicaltechnology(medtech)playersthatarejuststartingtheirAIjourney.Thepast12to18monthshaveseenamajorsurgeinactivity,withnumerousprojectsandfeasibilitystudiesunderway,suchastheimplementationofAI-drivendiagnostictoolsinpartnershipwithlargetechprovidersandpersonalizedtreatmentplans.

Therecanbelittledoubtthatnowisthetimeforplayerstoact,notsimplyforthesakeofdoingsomethingbuttoensurethattheyreapthefullbenefitsoftheAItransformation.Forinstance,companiesusingAIforpredictiveanalyticsinpatientcarearealreadyseeing

TheAI(r)evolutioninhealth|5

improvedoutcomesandoperationalefficiencies.Onemightevenask:DocompaniesinthehealthcaresectorneedtoembraceAIinordertostaycompetitive?Theanswerisanemphaticyes:BusinessesthatfailtoadoptAIriskfallingbehindoninnovationandeffectiveness.

Inthis,oursixthFutureofhealthstudy,weagaintakeacross-sectoralapproach.WeexaminethepotentialofAIacrosstheentirehealthcareecosystem,offeringabroaderperspectivethanthattypicallyprovidedbystudies.InChapter2,weexaminehowAIisbeingappliedinthe

sectorandwhatpotentialsolutionsitoffers.InChapter3,wetakeacloserlookatitsimpactonthepatientjourneyanddifferentpartsofthehealthcarevaluechain.Next,weexamineitsimplicationsforhealthcareorganizations(Chapter4)anddeterminewhichscenariofortheadoptionofAIoverthenextfiveyearsismostlikely(Chapter5).Weconcludeourstudywithaseriesofrecommendationsforhowstakeholdersshouldpreparethemselvesforthetransformation–atransformationthatinmanyareasisalreadywellunderway.

Nowisthetimefor

playerstoact,notsimply

forthesakeofdoing

somethingbuttoreapthe

fullbenefitsoftheAI

transformation.

6|RolandBerger

Standingstillmeansgoingbackward

AIprovidesawayforward

O

neofthemainfactorsputtingpressureontoday's

healthcaresystemsistheincreasingprevalenceofobesity.Globallifeexpectancyincreasedbysixyearsoverthelasttwodecades,whilehealthylifeexpectancygrewbyjustfiveyears.7Thismeansthatpeopleonaverageareexperiencingmoreyearsofillhealththaninthepast.Anothercontributingfactoristheincreasingprevalenceofobesityworldwide.Preventivehealthcareisthereforebecomingmoreimportantthanever–andthisisanareawhereAIisapowerfultooltosystematicallyreduceratesofillness.Forexample,AIcanhelpidentifychronicconditionssuchascardiovasculardiseaseanddiabetes.A

Inparallelwiththegrowingdemandforhealthcareservices,thesectorisbesetbyalackofhumanandfinancialresources.Healthcareorganizationsarefacingaprojectedshortfalloftenmillionhealthworkers

worldwidebytheyear2030,mostlyinlowandlower-middleincomecountries.8Thisshortageofskilledworkersandhenceoverworkingofstaffcreatesanimbalancebetweensupplyanddemand.AImayholdthekeytomakingsystematicimprovementshere,bymakingroutinetasksredundant,butitsapplicationinthisareaisstillinitsinfancy.

Furthermore,patients'expectationsofhealth-careareincreasingastheybecomeaccustomedtoconvenienceinotherareasoflife.Yetpatientscontinuetofaceunequalaccesstoqualitycareandinconsistenthealthcareoutcomes.IntheUnitedStates,forexample,peoplelivinginruralareasdieatrates20percenthigherthanthoselivinginurbanareas,agapthathasbeenwideningoverthepasttwodecades.9Globally,thesedisparitiesareofteninfluencedbysocioeconomic

APeoplearelivinglongerlives,butnothealthierones

Globalprevalenceofobesityrises

54%

42%

46%

50%

2020202520302035

Source:Statista

8|RolandBerger

factors,discrimination,biasandunevendistributionofhealthcareresources.Differentsectorsalsofacespecificchallenges:Researchanddevelopment(R&D)facesrisingcosts,forexample,whilemedtechandpharmaceuticalcompaniessufferfromsupplychainvulnerability.Here,AIcouldcontributetobetterplanninganddistributionofresources.

Inconclusion,itisapparentthatthehealthcaresystemisoftenworkinginefficientlyandfailingtomeetpopulations'needsinanoptimalfashion.Thesituationisworseningovertime,sostandingstillactuallymeansgoingbackward.AIcouldbethesolution–butthequestionremains,how?

WHATCANAIDO?

Overthenextfivetosixyears,thehealthcaresystemisexpectedtoundergoamajortransformationthankstoadvancementsinAItechnologyandtheadoptionofAIsolutions.Already,inthepastthreeyears,investorshaveinjectedmorethanUSD30billionintohealthcareAIcompanies,makingthisoneofthemostheavilyfundedsectors.10Infact,theglobalhealthcareAImarketisexpectedtobeworthuptoUSD187.7billionby2030.11

AccordingtoanalyticsfirmResearchandMarkets,healthcarespendingonAI-relatedhardware(suchasspecializedprocessingchipsanddevicesthatusethem)andsoftwarefordiagnostics,imageanalysis,remotepatientmonitoringandthelikeamountedtoaroundUSD26billionin2024.ThisfigureisprojectedtorisetoanimpressiveUSD59billionby2028.12AnalystsatCBInsightsestimatethatoverhalfofthe1,500healthAIvendorscurrentlyoperatinghaveemergedoverjustthepastsevenyears.13

Largelanguagemodels(LLMs)andAIsystemsalreadyserveasthebackboneformanyhealthcare-specificapplications.Forexample,theyarewidelyusedformedicalresearch,chatbots,imagerecognition,administrativetasks,dataanalysis,diagnosticsand

●Currently,weseea

growingtrendofmajor

healthcareandpharmaceutical

companiesdevelopingtheirownAItechnologies,ofteninclosepartnershipwith

techgiants.

treatmentplanning.Similarly,multimodalAIhealthcaremodelscanprocessandintegratedatafrommultiplesourcessuchastext,images,audio,videoandsensordata.Medicalimaginganalysis,forinstance,combinesdatafrommedicalimagingwiththepatient'shistory,geneticinformationandclinicalnotestogeneratemoreaccuratediagnosesandeffectivetreatmentdecisions.OneleadingEuropeanmedtechcompanyhastakenjustthisapproach,developingproprietaryAIsolutionsthatenhancethequalityofmedicalimageanalyses.Initiallybuiltontraditionalmachinelearningtechniques,thepioneeringcompany'ssolutionhasevolvedtoincorporatesophisticatedAI(andGenAI)algorithms,significantlyimprovingdiagnosticaccuracyandtreatmentefficacy.

ThehealthcareAIstartupmarketisdevelopingrapidly,withhundredsofstartupsemergingworldwide,asignificantportionofwhicharebasedintheUnitedStates.14EstablishedhealthcareenterpriseshavealsostartedincorporatingAIintotheiroperationsandarenowtryingtoscaleuptheseefforts.Forexample,modernprostheticscanuseAItoprovidemorenaturalmovementsandfunctions,learningandadaptingtotheuser'smusclemovementsandprovidingimprovedcontrolanddexterity. Acrucialquestionforhealthcareplayersiswhetherto"makeorbuy"AIcapabilitiesandassets.Currently,

TheAI(r)evolutioninhealth|9

BAIaffectstheentirehealthcaresystem

Changesinthevaluechainandpatientjourney

Regulations&policies

Government

Competition

Acceptance/trust

Technologicalprogress

Funding&incentives

FactorsofAIadoption

Etc.

Influence

Valuechainofkeyplayersandexemplaryusecases

Indirectlyperceptibleimpactforpatients

Medtech

R&D

Discoveryof

newbio-

compatible

materialsby

searchinglarge

databases

ofchemical

andphysical

properties–

betterproducts

forpatients

Drugdiscovery&development

Accelerationof

drugdiscovery

byanalyzing

massive

datasetsto

predicthow

compoundswill

behave

Startups

Niche

providers

Pharma-

ceutical

companies

Patientjourney

Directlyperceptibleimpactforpatients

Prevention

Implementa- tionof personalized chroniccare healthplans basedon patientdata,aimingtolower premiums forpatients withlower healthrisks andprovide customizedcoverage

Nursing/

chroniccare

UseofAItoensurethatpatients

followthetreatmentplan

Patient

DiagnosticsTherapy

Guidanceof patientsthrough triageand appointmentschedulingwiththehelpofchatbots

UseofAI-driven

roboticsystemsinsurgery–reductioninhumanerrorandincreaseinsurgicalprecision

Techgiants

Research

institutes/labs

Etc.

Health

insurancecompanies

Customerservice

UseofAIfor

automated

client

communication

andtailored

advice24/7

Predictiveanalytics

UseofAIfor

predictive

analyticsin

patientflow

management,

helping

hospitals

anticipate

beddemand

andresource

allocation

Providers

Products/partnering

Platformproviders

Additionalplayers

Source:RolandBerger

10|RolandBerger

weseeanincreasingtendencyforlargehealthcareandpharmaceuticalcompaniestodeveloptheirownAItechnologies,ofteninclosecollaborationwithtechgiants.ExamplesincludethepartnershipbetweenAWSandalargeAmericanmultinationalpharmaceuticalcompany.GoogleCloud,ontheotherhand,hasestablishedseveralpartnershipswithsignificanthealthsystemsandhealthplansoverthelastfewyears,withtheaimofdevelopinggenerativeAIsolutionsandtoolstoreduceadministrativeburdens.Inbothcases,thecompanieshavetailoredthetechnologytotheirspecificusecaseandsocarvedoutacompetitiveadvantageforthemselves;indeed,theirimpactonefficiencyisevenmeasurableattasklevelnow.15Smallandmid-sizedfirms,ontheotherhand,aremorelikelytocollaboratewithspecializedAIprovidersorpurchaseAIsolutions,allowingthemtotapintoexternalexpertiseandtechnologywithoutmakingsignificantinternalinvestments.

ThehugecommitmentandlevelofinvestmentisevidencethatAIhasthepotentialtoaddressthesystemicchallengesfacingthehealthcaresystem,leadingtoaparadigmshiftinthesector.Therevolutionthatwilltakeplaceinsomeareaswillbehighlyvisibleforpatients,whilethemoregradualevolutionthatwilloccurinotherswilloftengounnoticed–especiallyifplayersdonotnecessarilywanttheircustomerstoknowthattheyareusingAI.B

However,thechangestohealthcaresystemscausedbyAIvarybyregionduetolocalregulations,dataprivacylawsandinfrastructure.Forinstance,theEuropeanUnion'sstrictGeneralDataProtectionRegulation(GDPR)impactshowhealthcareprovidershandleAI-relateddatainEurope,whileintheUnitedStatestheregulatorylandscapeisevolvingmorerapidly,enablingfasterimplementationofAIsolutions.16Patientpreferencesandbehavioralsodifferbyregion:Forexample,customersintheMiddleEastaregenerallymoreopentodigitalpatientsolutions.17

USECASESFORAI

PotentialusecasesforAIarefoundacrosstheentirepatientjourneyandinallpartsofthehealthcarevaluechain.AIhasthepotentialtoaddressmanyofthemostpressingissuesinthecurrenthealthcaresystem.Forexample,itcanmitigatetheskillsshortagebyreplacingjobsandallowingemployeestoretrainforothertasks.Itcanreducethecostofhealthcarebydetectingillnessesearlyandpromptingproactiveintervention.Itcanimproveefficiencyinsimpleadministrationtasks,suchasclaimsmanagement,patientschedulingandbilling,freeingupstaffforothertasks.Anditisexpectedtounlocksignificantqualityimprovements–byenablingbetter,fasterdecisionsindiagnosesandtreatments,say.

ThankstoAI,patientjourneysareexpectedtobetransformed.Often,theywillbecomehybrid,combiningtraditionalin-personcarewithdigitalservicesenhancedbynewtechnology.AIenables24/7availabilityofhealthcareservices,regardlessofpatients'geographicallocation.Forexample,the"AIhospital"beingpilotedinChinaisavirtualhospitalruntoalargeextentbyAIphysiciansandnurses,showcasingthepotentialofAI-basedsolutionsforcontinuoushigh-qualitycare.18AI-generatedphysicianscouldpotentiallytreat10,000patientsinjustafewdays(excluding,ofcourse,moreadvanceddiagnosticcasesandcasesrequiringaphysicaltreatment),whereastheirhumanequivalentswouldneedatleasttwoyears.

AIalsoopensthedoortopersonalizedmedicinebyanalyzingpatient-specificdataandtailoringtreatments,improvingoutcomesandminimizingunnecessaryinterventions.Itsabilitytointegratedatafromvarioussources,suchaselectronichealthrecords,genomicsandwearables,meansthatitcanoffercross-functionalinsightstoimprovepatientcare.Notonlythat,AI-drivendecisionsupportsystemscanhelpclinicianschooseoptimaltherapiesandcreatecomprehensivecarepathways.Indeed,atamorebasiclevel,healthcarecanbecomepreventiveratherthanreactive.

TheAI(r)evolutioninhealth|11

AI–SAMPLEUSECASES

INHEALTHCARE

Prevention:Analyzingpatientdata(medicalhistory,lifestylefactors,geneticinformation)topredicttheriskofdevelopingconditionssuchasdiabetesandheartdisease

Administration:Transcribingandsummarizingpatientconsultationsusingvoice-to-textprograms;producingclinicaldocumentationtoautomatetheadministrativeburden

Diagnostics/diagnosis:Enhancingmedicalimagequalityinradiology;improvingqualityindiagnosisbasedonEHRdata

Along

thepatientjourney

Therapychoice:Analyzinggeneticdata,medicalhistoryandlifestylefactorstorecommendtherapiestailoredtoindividualpatients(forexample,inoncologyfortargetedcancertherapies)

Therapy:Performingsurgeryusinghigh-precisionAI-drivenroboticsystems;employingAIcoachesfortherapy

Researchandeducation:Advancingresearchthroughbetterclinicaltrialsandsyntheticdatageneration

Healthinsurance:EnablingGenAIchatbotstogeneratehuman-liketextforreal-timecustomerinteraction;developingindividualizedAIcoachesforcoachingandsteeringpatients;enablingpredictionmodelswithrecommendationsforcustomers

Fordifferenthealthcareplayers

Hospitals:Improvinghospitaloperationsbyautomatingadministrativetasks,

optimizingpatientflowstoreducewaittimesandstreamliningdatamanagement;enhancingtelemedicineservices

Pharmaceuticals:SpeedingupdrugdiscoveryusingGenAI,thusreshapingthefutureofmedicine;improvingcommercialprocessesandmarketing

Medtech:EnhancingsupplychainperformancewithGenAI-drivendynamicsimulations;supportingdiagnosticdecisionsthroughimaging

Government:Detectingfraud;forecastinghealthcareneeds,suchaspotentialoutbreaksofdiseases;streamliningadministration

12|RolandBerger

TheboxAI–Sampleusecasesinhealthcarelistsawiderangeofpotentialusecasesforartificialintelligencerightacrossthehealthcareindustry–andtherearemanymore.However,thequestionremains:WhichareasofhealthcarewillbethemoststronglyaffectedbyAI?Inotherwords,wherewilltheuseofAIestablishitselfasthedefactostandard?

Expertsandhealthcareprofessionalsaredividedonthisquestion.Tofindouthowtheyfeelaboutthisandrelatedissues,weconsultedmorethan100board-levelexecutivesandalargenumberofhealthcareexpertsin12differentcountries:theUnitedStates,Germany,theUnitedKingdom,theUnitedArabEmirates,China,Norway,Japan,France,Sweden,Austria,SaudiArabiaand

Switzerland.Ourrespondentsrepresentedacross-sectionoftheindustry:31percentworkedforpharmaceuticalcompanies,24percentforhealthcareproviders,another24percentformedtechfirmsand20percentforhealthinsurancecompanies.Theorganizationsthattheyworkedforwereofarangeofdifferentsizes.Two-thirdsofrespondentsweremale,one-thirdfemale,andtheiraverageagewas44.

Inthefollowingtwochapterswepresentsomeofthemoststrikingresultsofthissurvey,focusingfirstontheimpactofAIonthepatientjourneyanddifferentpartsofthehealthcarevaluechain(Chapter3),andthenturningtotheimplicationsoftheAItransformationforhealthcareorganizations(Chapter4).

AIpavesthewayforthefuture

ofpersonalizedmedicine,using

patient-specificdatatotailor

treatmentsthatboostoutcomes

andcutdownonunnecessary

interventions.

TheAI(r)evolutioninhealth|13

Impactonpatientjourneyandsectors

Whatliesahead?

Tifteclyv

However,AIwillnotaffectallpartsofthehealthcareindustryequally.Forexample,pharmaceuticalcompanieswillexperiencetheAItransformationdifferentlyfromhealthinsurancefirms.Inthischapter,wesetouttofindoutwhichareasarealreadybenefitingfromAI-basedtechnology,andwhichareasarelikelytobenefitthemostgoingforward.Theseinsightscanhelpcompaniesfocusonthoseareaswherethemostvaluewillbeadded–andstartpreparingthemselvesnowfortheopportunitiesahead.

IMPACTOFAIONTHEPATIENTJOURNEY–MANYCOMPANIESAREMOREADVANCEDINTHEIRAI

JOURNEYTHANCOMMONLYPERCEIVED

AlthoughAItechnologystillhassomethingofanoveltyvalueforthegeneralpublic,healthcareplayershaveinfactbeenusingitinpartsoftheiroperationsforsometimenow.Inthesurvey,allrespondentssaidthattheycurrentlyuseAI,with74percentsayingthattheydosofrequently.However,just15percentsaidthattheyhaveatleastpartiallyemployedAIsolutionsintheiroperationsacrosstheircompany.Todate,theimpactofAIhasbeenevolutionaryratherthanrevolutionaryinmanypartsofthepatientjourney,itsmaincontributionbeingtheoptimizationofprocessesandcosts.Thus,81percentofrespondentsbelievethatthebiggestbenefitofusingAIisthatitspeedsupprocesses,79percentthatitenhancesthequalityoftheworktheydoand77percentthatitreducescosts.

IMPACTOFAIONTHEPATIENTJOURNEY-COM-PANIESLARGELYCATEGORIZEAIASASUPPORTOPTIONANDDECISIONMAKERFORPHYSICIANS

MostrespondentsbelievethatAIwillsignificantlyassistphysiciansindailytasks.Specifically,82percentbelievethatAIwillreducedecision-makingtime,whichisparticularlyvaluableinacutecaresettings.Another

CAdoptionofAIvariesalongthepatientjourneyinhospitals

WhereandtowhatdegreeisAIusedalongthepatientjourneyinhospitals?

AIadoptionwithinpatientjourneyinhospitals

Administration

(e.g.,clinicaldocumentation)

1020304050

PartiallyemployedinstandardoperationsPilotphase

Noinitiation

Source:RolandBerger

72percentviewAIasausefulaidinsupportingdiagnosticandtreatmentdecisions.Furthermore,78percentanticipatethatAIwillmakeautonomousdecisionsinspecificareas,suchasimageinterpretation,indicatingagenerallylowbarriertoAImakingcertainmedicaldecisions.

Prevention

Nursing

Therapy

Diagnostics

TheAI(r)evolutioninhealth|15

UNDERSTANDINGTHE

ADOPTIONOFAI

TodeterminetheextenttowhichAI(includingGenAI)hasbeenadoptedacrossthepatientjourneyandinthevariouspartsofthehealthcarevaluechain,weaskedexecutivestospecifytheirorganization'sprogressinintegratingAI.Weusethreelabelstocategorizetheresults:

Noinitiation:AIisnotusedordeployedinanyforminthepartofthevaluechainorpatientjourneyinquestion.

Pilotphase:Initialproofsofconcept(PoCs)thatuseAI,includingGenAI,havebeendevelopedorarecurrentlyinprogress.

Partiallyemployedinstandardoperations:AIhasbeenintegratedintoactiveoperationalsolutions.ThisdoesnotimplythatthepartofthevaluechainorpatientjourneyinquestionisentirelyrunbyAI,butratherthatAIisatleastusedinsomecapacitywithinafunctionalsolution.

IMPACTOFAIALONGTHEPATIENTJOURNEYINHOSPITALS-DIAGNOSTICSWITHHIGHERADOPTION,THERAPYLAGSBEHIND

TogainamoredetailedunderstandingoftheimpactofAI,weaskedhealthcareproviders(hospitals)aboutthecurrent

levelofadoptionofAItechnologyalongthepatientjourneyinhospitalsandwhattheyforeseehappeninginthefuture.Thepicturetheypaintisavariedone.Thus,inareassuchasdiagnostics,theuseofAIiswidespreadandthetechnologymatur