pwc -2026生成式AI在医疗领域的变革性力量研究报告 The transformative power of GenAI in healthcare

pWC

ThetransformativepowerofGenAIinhealthcare

January2026

Tableofcontents

01Anoverview04

02OpportunitiesintheIndianhealthcaresystem06

03BuildingaholisticGenAIecosystem26

04RegulatoryframeworksaroundGenAI32

05NavigatingriskswhiledeployingGenAI34

06Wayforward:DevelopingawinningecosysteminIndia40

ThetransformativepowerofGenAIinhealthcarePwC4

Anoverview

Evolutionofgenerativeartificialintelligence(GenAI)

GenAIisasubsetofAIthatspecialisesincreatingnovelhuman-likeoutputs.Itprioritisesadvancedlearningapproachesandversatility,blurringthelinesbetweenhumanandmachine-generatedcontent.

Capabilities

•Search,analysis,prediction

•Automatedsummarisationandaugmentation

•Conversation

•Mathematicalreasoning

•Chain-of-thoughtcapabilities

Benefits

•Knowledgemanagement

•Productivityandefficiencygains

•Acceleratedinnovation

•Accessibilityand

personalisationofcare

•Data-drivendecisionmaking

Keychallenges

•Ascertainingtherationalebehindthesystem’s

‘hallucinations’

•Ethicalresponsibilitiesandregulatoryrequirements

•Concernsaboutprivacyandsurveillance

Howdidwegethere?Gradually,thensuddenly

AgenticAIevolvedas

anaturalprogressionof

GenAI,shiftingfrompassivecontentcreationtoactivelymakingdecisionsand

completingtasksonitsown.

RestrictedBoltzmann

Machine(RBM):RBMs

startedbeingusedtodetectvariousdiseasessuch

asdiabeticretinopathy

andclassificationofbraindiseasesbycouplingthemwithgenerativeadversarialnetworks.

Deeplearningrevolution:TheintroductionofAlexNetdemonstratedthatdeep

CNNscouldoutperform

traditionalmethodsinimageclassificationtasks.3

recurrentneuralnetwork(RNNs):LeNet-5,

developedbyYannLeCun,becameasignificant

Modernneuralnetwork:

Thebackpropagation

algorithmwaspopularised,

enablingmulti-layernetworkstolearncomplexpatterns.

Neocognitronisanearlyversionofconvolutional

neuralnetworks(CNNs).

1,2,3,4

FrankRosenblatt,TheCreatorofthePerceptronin1957

Enhancedtransformer

capabilities:Thisyear

sawtheemergenceof

smarttransformersfor

efficientpowersystems,

multimodalmodelslike

VisionTransformer(ViT)forintegratedtextandimageprocessing,andefficiencyenhancementsthrough

pruningandquantisation.

Emergenceoflarge

languagemodels(LLMs):Thedevelopmentof

transformerarchitectures

ledtothecreationofLLMslikeBERT,whichexcelin

naturallanguageprocessing(NLP)tasks.4

RiseofCNNsand

Earlyconcepts:The

Perceptron,developedbyFrankRosenblattin1957,wasoneofthefirstneuralnetworkmodelscapableoflearningfromdata.1

milestoneforCNNsinmedicalimaging.2

1943–1957

1990s

1980s

2025

2024

2023

2018

2012

ThetransformativepowerofGenAIinhealthcarePwC5

SmarterhealthcarewithGenAI

Improvedcomprehension:Thenew-age

algorithmshavethepotentialtoovercomethechallengesposedbytheearliergenerationofmodelsintermsofaccuracyacrossdatasetsaswellastheirdiagnosticcapabilities.

Complexclinicalscenarios:Thelatest

modelsspecialiseinmulti-steprationalising,allowingthemtogiveaccurateresponses

consistently.Thiscapabilityhelpshuman

stakeholders(doctors,nurses,medicalstaff)leverageGenAItomakeinformedchoices

andimprovetheirabilitytodiagnosecomplexclinicalconditionsmoreefficientlyand

effectively.

Increasedcontextualawareness:GenAI

modelscanprovideacompletebackground

ofapatient’smedicalhistory,including

diagnoses,symptomsandpastallergies/

medicationsbycollectingthisinformation

frompatientsviainteractiveforms/

questionnaires.Thisinformationcanbeusedtoprovideacomprehensivepre-visitsummaryfordoctors,resultinginincreasedpatient

engagementandmoreindividualisedcare.

Clinicaldataaggregation:Automating

dataaggregationfromhistorical/legacy

medicalrecordstocreatealongitudinal

patientrecordreducestheadministrativeburdenonhealthcareproviders,allowingthemtodevotemoretimetopatientcare.

Healthtrendanalyses:Newermodels

canhelphealthcareprovidersunderstanddiseasetrendsandrespondproactively,

resultinginbetteroutcomesatthe

populationlevelandenablingthemtocatertovariouspublichealthrequirements.

PotentialimpactofGenAIacrossbusinessfunctions5

•Market:USD8.7trillionmarketby2032

•CAGR:23.56%for2024–2030

•Healthcare:USD4.2billionby2030

PotentialgrowthofGenAIacrosssectors

Noimpact

6%

Healthcare

27%

IT/dataandanalytics

15%

Financial

Legal

HR

Sources:

•PwC,‘UnderstandingtheimpactofGenAIontheIndianhealthcareecosystem’

•SurveyconductedbyPwCin2024

30%

15%

7%

IndianGenAIlandscape6

Totalearnings+investments

USD800million

250startupsGenAIinhealthcare

5

PrecedenceResearch,GenerativeAIInhealthcaremarketsize,share,andtrends2024to2034

6

NASSCOM,India’sgenerativeAIstartuplandscape

ThetransformativepowerofGenAIinhealthcarePwC6

OpportunitiesintheIndianhealthcaresystem

PotentialofGenAI:Clinicaloutcomesandproductivity

GenAIholdsimmensepotentialtotransformthecurrenthealthcaresystembysupportingimproveddecisionmakingand

streamliningworkflowswhilealsoreducingtheadministrativeburden.Besides,itempowershealthcareproviderstodelivermoreefficientandtailoredpatientcare.

PublichealthcarePrivatehealthcareproviders

Diseasesurveillanceandoutbreakprediction

Clinicaldecisionsupportsystem

Patientandpopulationeducation

•

Dischargesummarygeneration

Populationhealthmanagement

•

Wellness(self-care/corporatewellness)

Optimisingvaccinationandimmunisationprogrammes

•

•

•

Mentalhealth

Medico-legalassistance

Chronicdisease/lifestylemanagement

Itcanhelpwithgeneratingmedicalcontent,

imagesaswellasvideostostreamlinehealthcarecommunicationamongstdifferentstakeholdersinthejourney.

Apartfromroutinedatacollectionandrespondingtogeneralinquiries,GenAI-enabledchatbotscan

helpwithpatientinquiries,appointmentschedulingandmanagement.

Tosummarise,GenAIhasthecapabilitytoimproveproviderproductivitytoalargeextent.

Ithasthepotentialtocutdownonmanual

effortandlowercosts.GenAIcanalsoimprove

clinicaloutcomesthroughearly/betterdiagnosis,personalisedtreatmentplansandproactivepatienteducationforself-careprotocols.

Improvinghealthcareoutcomes

•Individualisedtreatmentplans:GenAIcreates

preciseandefficienttailoredtherapiesbyanalysingalargeamountofpatientdata,suchasmedicalhistoryandlongitudinalhealthrecords.

•Automatedpatientcharting:GenAIcanstreamlineandgeneratethecontentofapatient’schart,

minimisingthemanualeffortsofhealthcareproviders.

•Healthavatar:AnAI-powereddigitaltwincanbeusedtocapturethepatient’scomprehensivehealthstatus.

Increasedproductivity

•Generatemedicalcontent,imagesandvideostostreamlinehealthcarecommunication.

•Managepatientqueries,appointmentbooking,routinedatacollectionandgeneralinquiries.

•Automateroutinehealthcaretaskssuchaspatientdatacollectionanddocumentsummarisation.

ThetransformativepowerofGenAIinhealthcarePwC7

Healthcarepayers

GenAIcanhaveasignificantroleindesigningthehealthfinancingpolicyofacountryandachievingUniversal

HealthCoverage(SDGTarget3.8)

Designinghealthfinancingpolicy:Collatingandanalysingthevastamountofhealthspenddatacomingfromdifferentstakeholders(e.g.InsuranceRegulatoryandDevelopment

AuthorityofIndia[IRDAI],NationalHealthAccounts,statebudgets,NationalHealthMission[NHM])

Developingtoolstostreamlinethehealthcarefinancing

processes:Thiswouldinvolveconstructingspecificdata

integrationportals,encompassingdecisionsupportsystems.Thesesystemswouldinturnassiststakeholdersinanalysingthepatternsofschemeutilisationandbenefitpackagesby

consolidatinginformationfromaspectrumofinsurance

schemes,therebyhelpingtogaugepracticalinsightsforpolicyalignment.Forinstance,GenAI-poweredanalyticaltoolscouldbeusedforformulatingthecentralisedbeneficiarytracking

systems.Thiswouldhelpinefficientlyfiguringoutschemeutilisationtrendsordataongapsinschemecoveragefromlargedatasets.

Executingpolicyroadmaps:UsingGenAItoolstoidentifybeneficiariesviasociodemographicvariablescanhelpin

reducingtheadministrativeburden,improvingutilisationofhealthcareandclaimsmanagementservices,design

compliancetrackingdashboards,andresolvingqueries.

India’s‘epidemiologicaltransition’journeyhaslaggedbehinditseconomictransition(incompletepublic

healthagenda)

Inthelastfewdecades,Indiahasexperiencedsignificant

economicgrowth.However,ithasnotbeenabletoachieveasubstantialshiftinitsepidemiologicalprofile.Asaresult,theburdenofcommunicable,neonatal,maternalandnutritionaldiseasescontinuestoremainhighinthecountry,indicatingawidegapbetweeneconomicprowessandeffectivenessinadvancingthepublichealthinitiativestocurbbasicpublic

healthcareissues.

Percentageburdenofcommunicable,maternal,neonatal,infectiousandnutritionaldiseases

80

70

60

50

40

30

20

10

0

India(1990)

Indiaisstuckinanepidemiologicaltransition

Althoughtherehasbeensignificant

economicdevelopmentsince1990,theburdenofcommunicableandinfectious

Nigeria

diseasesremainshigh.

India(2019)

Pakistan

China

UnitedStates

France

Brazil

02004006008001,0001,2001,4001,6001,8002,0002,2002,4002,6002,80021,400

GDPin2019(USDbillion)

Source:WorldBankdata,GlobalBurdenofDiseaseStudy2019(GBD2019)results,PwCanalysis

Note:Thebubblearearepresentsacountry’stotalburdenofdisease.

ThetransformativepowerofGenAIinhealthcarePwC8

Note:Thebubblearearepresentsacountry’stotalburdenofdisease.

Indiahasoneofthehighestdualburdensofdisease:

DALY*(inmillion)duetonon-communicablediseases

400

350

300

250

200

150

100

50

0

Dualburdenofdisease

China

India

Unitedstates

Indonesia

Pakistan

Nigeria

0102030405060708090100110120130140150160170

DALY(inmillion)duetocommunicable,maternal,neonatal,infectiousandnutritionaldiseases

*Disability-adjustedlifeyears

Source:GBD2019results,PwCanalysis

Note:Thebubblearearepresentsacountry’stotalburdenofdisease.

EvenatanannualGDPgrowthrateof8–12%,Indiawilltakeanother25–35yearstoreducethecommunicableburdento6%(China’scurrentlevel).

Percentageburdenofcommunicableand

80%

70%

infectiousdiseases

60%

50%

40%

30%

20%

10%

0%

Needfornew

AssumingaGDPgrowthrateof8–12%,Indiawilltakeanother~25–35yearstoreduceits

communicablediseaseburdento6%ofits

overalldiseaseburden(China’scurrentlevel)

approachesand

interventionsto

reducethistimeframe

PotentialofGenAI

010,00020,00030,00040,00050,00060,00070,00080,00090,000

GDPpercapita(currentUSD)

Source:GBD2019results,WorldBankdata,PwCanalysis

ThetransformativepowerofGenAIinhealthcarePwC9

Thenear-optimalhealthstatusandassociatedoutcomesmaybeinfluencedbyasignificantrelianceontraditionalhealthcaremodels.Thesemodelsprioritisereactivecareoverpreventiveorpromotivecareandaremyopicintermsofinfrastructural

abilities,furtherresultinginhigherDALYrates.GenAIhasthepotentialtoenhancethecapabilitiesoftheseoutdatedsystems.Moreover,itcouldnarrowthedividecreatedbytheexistinglimitationsandpavethewayforamoreproactiveandinclusivepatient-centriccaremodelbyaddressingthefollowingchallenges:

Disease

burden:

Indiaiscurrentlydealingwithadualdiseaseburdenwithextensiveprevalenceofcommunicableaswellasnon-communicable

diseases.

Inequalities

inhealthcareaccess:

Disproportionateaccess

tohealthcareservices

persistsacrossthenation.Moreover,various

marginalisedcommunitiesfacebarriersinaccesstoqualityhealthcare.

PotentialofGenAIinIndianpublichealthcare

GenAIcantacklethechallengesfacedby

thepublichealthcaresystemandstreamlineday-to-dayoperations.

27-32%

Impact

22-27%

18-23%

13-18%

Healthcareinfrastructure

Source:InterviewsconductedbyPwCwithindustryexperts

Healthcareinequalities

Healthcarefinancing

Diseaseburden

Healthcare

infrastructurechallenges:

Healthcarefacilitiesfaceheavyworkloadsowingtounder-resourcingandhighpatientinflow,whichin

turnleadstocompromisesinthequalityofcareandhighwaitingtime.

Healthcare

financing:

Beingabletoaffordqualityhealthcareservicesisstillachallengeformanypeople.Duetohighercosts,peopleareunabletoseektimely

healthcareservices,leadingtoincreasedmorbidity

andmortality.

Cardovascular

diseases

Respiratory

infectionsandTB

Chronic

respiratory

diseases

Neoplasms

Other

non-communicable

diseases

DALY

TotackletheDALYcount,theIndianGovernmenthastakenseveralinitiativessuchas:

•nationalhealthprogrammes

•diseasehealthprogrammes

•healtheducationandawareness

•infrastructuredevelopment.

Valueinmillion

64.9

35.729.227.227.0

ThegraphrepresentsthehighestDALYcontributorsinthenation.

Source:VizHub2021,GBD2019

ThetransformativepowerofGenAIinhealthcarePwC10

Preventive

Promotive

Curative

RehabiIitative

Palliative

TheimpactofGenAlwiIIbevisibIeacrossthevaIuechainviamuItipIeusecases.6PotentiaIefficiencygainsthroughGenAl

Low

Medium

High

▲

▲

▲

▽

PotentiaIefficiencygainsthroughGenAlacrosslndia’spubIicheaIthspectrum

PopuIationheaIth:Interventionsandsimulationofhealth

behaviourstomodifycampaignsforspecificpopulationsand

addressprevailinghealthissues

ResearchanddeveIopment:

Generatingnewmolecular

structuresandpredictingtheir

properties;developingtherapiestocombatprevalentdiseases

Costsavingsandreduced

diseaseburden:Potentialto

unlockUSD94billionincost

savingswhilereducingDALYs7

6,7Annexure(b)

ThetransformativepowerofGenAIinhealthcarePwC11

Usecasesandtheirimpactacrossvariousstakeholders

Preventive

Patientandpopulationeducation

Virtualhealthassistants

▽Personalisedhealthriskassessment

▽Diseaseoutbreakpredictionandsurveillance

▽Optimisingvaccinationandimmunisationprogrammes

Promotive

▲Communityhealthengagement

Lifestyleoptimisation

▽Personalisedwellnessplan

Curative

▲Diagnosticassistance

Drugdiscoveryanddevelopment

Imageinterpretationanddiagnosis

▽Personalisedtreatmentplanning

▽IntegrationwithIoTandwearables

Rehabilitative

▲Recoverymonitoring

▲Supportsystemintegration

Virtualrealityrehabilitation

▽Personalisedrehabilitativeplans

Palliative

▲Telehealthsupport

Remotesymptommonitoring

▽Virtualsupportgroups

BusinessimpactofGenAI

▲HighMedium▽Low

ThetransformativepowerofGenAIinhealthcarePwC12

Streamliningdata:GenAIindataplumbing

Painpoints:

1.Limitedaccesstohealthcaredatathatisrichinquality

NeedforAIandGenAI:

1.Automatingdatacollection,extraction,standardisation

2.Dataprivacy,security,safetyandregulatorycompliance

andsummarisation

3.Challengeofdatastandardisationandinteroperabilitywhileaccessinghealthcaredatathatisunstructuredorfragmentedandresidesinsilos

2.Integrationofdatapointsfromvarioussourcesinordertocreateadatapoolwhichbecomesasinglesource

oftruth

4.Dataprocessingtakesupalotoftimeandispronetoerrors

3.Dataanalyticswhichfacilitatesdecision-makingprocessbyleveragingreal-timedata(e.g.mobilisingvaccinationdrivesforanemergingdisease)

5.Dealyinhealthcareinterventionsowingtolimitedavailabilityofreal-timedata

TraditionalAI:

1.LeveragingAI/machinelearning(ML)algorithmsinordertoautomatetasksthatarelabour-intensivelikedataextractionfrommultiplesources(EHR,radiologyinformationsystem[RIS]andphysiciannotes)

GenAI:

1.FacilitationofAI/MLusecases:Synthesisingrealisticdatatobridgegaps,manageerrorsandbringtogetherdiversedatasetsinaformatthatisstandardised

2.Privacyprotection:Creatingsyntheticdatasetsthat

2.Cleansingofdatatoachievestandardisationwhiledataenrichmentisalsotakencareof

safeguardprivacybyretainingthecharacteristicsandstatisticalpropertiesoftheoriginaldata

3.Managingandorganisingdatatocreatedatalakes,whichensuresaccessibleandqueryabledatafor

buildingMLmodels

3.Dataingestionandintegration:Learningfromvariousdataschemasandformats,generatingcodeforhandlingcomplexdatatransformationsandintegrations

4.Monitoringandmanagingsecuredatapipelinessothatdataprotectionisensured

4.Predictiveabilities:Anticipatingfuturedatapointsandgeneratingpredictionsandalertsbasedondatatrends

5.Datamaskingandde-identification

thatarestreaming

ThetransformativepowerofGenAIinhealthcarePwC13

AdoptionofGenAIislikelytobeinfluencedbyamultitudeoffactors–degreeofcostsavingsachievedandresidualimpactontheworkforcebeingtheleadingones.

Productivitygains,diminishingearningsbeforeinterest,

taxes,depreciationandamortisation(EBIDTA)margins,

highrunningcostsandfrequencyoferrorsaretheprimary

challengestobeaddressedinthehealthcaresector.In

addition,theshiftinpatientexpectationswarrantsare-

evaluationofservicedeliverymodelsintheprivatehealthcareecosystem.Privatehealthcareprovidersofferaspectrumof

services–fromconsultationandacutecaretorehabilitativecareandcateringtodiversemedicalneeds.

Beyondconventionalresource-intensiveframeworks,GenAIcanofferintelligentautomatedsolutionsthatreducemanualinvolvement,optimiseoperations,andtransformpatientcare,refiningcaredelivery,promisingbetterprognosticoutcomes,andfacilitatingpersonalisedcareandadvancedanalytics.

ByembracingGenAI,privatehealthcareproviderscan

significantlyimprovecaredelivery,ultimatelyenhancingtheentirespectrumofcaredelivery.

ThetransformativepowerofGenAIinhealthcarePwC14

FactorsdrivingtheadoptionofAI:

Costsavings,followedbyaneedtokeepupwith

emergingtech,aretheleadingfactorsdriving

healthcareorganisationstopursueGenAIinitiatives.

Costsavings

Keepingupwith

emergingtech

Genuine

patientneeds

Keepingupwith

competitors

Leadership/

investorInterest

Revenueimpact

Source:InterviewsconductedbyPwCwithindustryexperts

GenAI’simpactontheworkforce:

GenAIhasenteredthemodernworkplaceandisdisrupting,augmentingandimprovingworkprocesses.PwC’sIndia

Job

Opportunity

Job

displacement

Noimpact

Workforce:HopesandFearsSurvey2023highlightstheimpactofGenAIonthecurrentworkforce.

Productivity

Increase

Upskilling

Source:IndiaWorkforceHopesandFearsSurvey2023

(

https://www.pwc.in/assets/pdfs/hopes-and-fears/india

-workforce-hopes-and-fears-survey-2023.pdf)

ThetransformativepowerofGenAIinhealthcarePwC15

ConsideringtheheterogeneityandfragmentationofIndia’sprivatehealthcaresystem,theadoptionofGenAIisexpectedtooccurinphases(diffusionofinnovation)

PhasesofAIimplementationjourney

ThejourneyofAIimplementationwithinanexistingsystemcanbebroadlycategorisedintosevenstages,mappingthepathwayfrominitialawarenessandexplorationofpossibilitiestobeingatransformationalleaderintheindustry.

Laggards

ThecompaniesthatareintheveryinitialstagesofAIimplementationfocusonbuilding

digitalawarenessandimplementingbasic

electronicsystems–

movingfrommanualtodigitalrecord-keepingandestablishing

fundamentaldata

collectioncapabilities.

Marketaverage

Thesecompanies

emphasisesystem

integrationand

automation–

connectinglabsystemswithbroaderhealthcareITinfrastructureand

introducingAIforbasicanalyticsandworkflowoptimisation.

Earlyadopters

Thiscategoryfocusesonachievingsmart

operationsthrough

fullautomationand

comprehensiveAI

integration–enablingpredictivemodelling,real-timeanalyticsanddata-drivendecisionmakingacrossall

laboratoryfunctions.

Transformers

Thesecompanies

establishthelaboratoryasaninnovationhub

–drivinghealthcare

transformationthroughcutting-edgeAI

applications,researchandcross-institutionalcollaboration.

Stage1:

Initialawarenessandexploration

Stage3:

Intermediateintegration

Stage5:

Smartoperations

Stage7:

Transformational

leadershipin

Stage2:

Stage4:

Stage6:

healthcare

Basicimplementation

Advancedautomation

Data-driven

decisionmaking

ThetransformativepowerofGenAIinhealthcarePwC16

TheGenAIadvantage:ProductivitygainsforhealthcareprofessionalsPotentialtimesavingsthroughGenAIforprivatehealthproviders8

Low

Medium

High

▲

Clinical

Paraclinical

Non-clinical(customersupport,marketing)

Costsavings:

GenAIhasthepotentialtounlock

cost-savingopportunitiesworth

aroundUSD25billion9acrossvariouspersonainhealthcaredelivery.

Supportandefficiencygains:

GenAIcanassistdoctorswithtaskslikeclinicaldocumentation,summarisationofpatientdataanddischargesummarygeneration,allowingthemtodedicate

moretimetopatientcare.

Assistanceinroutinetasks:

GenAIcanassistnurseswithtaskslikedataentry,routineinformationgatheringandprogressnote

documentation,freeinguptheirtimefordirectpatientcare.

8,9Annexure(a)

ThetransformativepowerofGenAIinhealthcarePwC17

Usecasesandtheirimpactacrossvariousstakeholders

Clinical

▲Orderingandinterpretingdiagnostictest

Treatmentplananddischargesummary

Patienteducation

Medico-legalassistance

▽Clinicaldecisionsupportsystem

▽Medico-legalassistance

▽Patientinformationdocumentation

▽Assessmentanddiagnosis

Para-clinical

Managingpatientcare

▽Medicalinfogatheringanddocumentation

▽Dischargesummarygeneration

Non-clinical

▲BrandmanagementandPRactivities

Schedulingremindersandfollow-ups

Billing,paymentandinsurancechecks

Delivery(offlineandonline)

Campaignperformancetrackingandanalytics

▽Wellnessandmentalhealth

▽Lifestylemanagement

▽Handlingappointments

▽Gatheringinformationandfeedback

▽MaintainingMISandotherad-hocjobs

▽Communication,developmentanddesign

BusinessimpactofGenAI

▲HighMedium▽Low

ThetransformativepowerofGenAIinhealthcarePwC18

GenAIsolution1:Chatbot–atooltoenhanceproductivityforahealthcareprovider

SolutionslikechatbotsleverageGenAIandserveasacrucialcomponentinenhancingcommunicationbetweentheconsumer(i.e.thepatient)andthehealthcareprovider.Theyserveasahugepieceinthepuzzleofproductivitygainsbyautomating

routinetasksandstreamliningmundaneoperations.Bydoingso,theynotonlyenablepatientstogetaquickfixfortheirproblemsbutalsoallowhealthcareprofessionalstofocusoncomplexclinicalresponsibilities.

ThetransformativepowerofGenAIinhealthcarePwC19

GenAIsolution2:Clinicaldecisionsupport–atooltoenhanceproductivityforahealthcareprofessional

TheclinicalsupporttoolisanothersolutionthatleveragesGenAI.Itanalysesavastamountofpatientdataandassociatedclinicalliteraturetoprovidereal-timeevidence-basedrecommendationsthathelphealthcare