2026面向未来的医疗调研报告：医患护视角下的AI

2026Future

Ready

Healthcare

Survey

ReportPatients,doctors,and

nurseson

AI:

Similartools,differentpathways,onedestination··

···

·

>Table

of

contents3

Introduction4

Key

survey

findings5Fromexperimentation

toembeddedinfrastructure7

Addressingdifferentpriorities

withina

sharedecosystem9Reshaping

thedynamicsof

theclinicalencounter11Trustas

thelimiting

factorin

AI-enabledcaredelivery13Aligningopportunitiesandboundaries

for

AI

toaugmenthealthcare15Lookingahead:Preparing

for

thenextphaseof

AI16

Inconclusion2

Wolters

Kluwer2026Future

Ready

Healthcare

Survey

ReportSimilar

tools’differentpathways’one

destinationAIisbringingimmensepromiseandopportunityintoeveryindustry.Butitalsobrings

theneed

for

thoughtfuldiscernmentin

how,

when,and

whereitisdeployed.Therealityis

that

AIisa

tool.

And,inorder

for

tools

tobeeffective,

theymust

serveaclearpurpose

whilebeingreliableand

trustworthy.

Toolsalsoneed

tobepurposebuiltand

wieldedbypeople

whounderstandhow

touse

themappropriately,

whichincludesrecognizing

when

theymaybereaching

theirlimits,orintroducing

frictionandunintendedconsequences.Nowheredo

thesecriteriamattermore

thaninhealthcare,

wherethe

speedand

scaleof

AIadoptionisalreadyrevolutionizing

thewaycliniciansand

theirpatientsinteract

with

technology

tomakedecisionsandcomplete

tasks.In

thisneweraofAI,

wemustdeeplyunderstand

theproblemsetsandusecases

wearelooking

toaddress,as

wellas

thebenefitsandpotentialrisksof

introducing

AI-enabledcapabilitiesinto

thebroaderhealthcareecosystem.The

2026FutureReadyHealthcareSurveyReport

buildsonlastyear’sinauguraledition.Bothreports

weredeveloped

specificallyto

take

thepulseof

where

AIis

workingin

theclinicalsettingand

where

thereisopportunity

todomore.Importantly,byaddingpatient-facingquestions

to

this

year’sreport,

wecannowbetterunderstand

theuniqueperceptionsof

doctors,nurses,andpatientsaroundagenticandgenerative

AI,mostnotably

what

they

wantanddon’t

want

whenitcomes

to

AIin

thecaresetting.The

findingsreveal

someexcitingemergingapplicationsof

thispowerful

technology,ranging

frommedicalresearchandliteraturediscovery

topatienteducationand

theautomationofhigh-burdenactivities.

Theresultsalsoexposeanimportantrealitybubbling

tothe

surfaceof

the

AIconversation:

whilereal-worldutilizationisrising

year-over-year,itisbeingaccompaniedbyasignificant

trustgap,

withmountingconcernsaround

AIhallucinations,bias,andthemonetizationofpersonaldata.It’sourhope

that

thisresearchprovides

strategicandactionableinsights

forhealthcare

technologistsandhealth

systemleaderswhoarelooking

toinnovateandinvestin

AI

tools

thatdeliverreal-worldbenefits

tocliniciansandpatients.Greg

SamiosCEO,WoltersKluwerHealthForewordIntroductionAIinhealthcarehasbeencompared

tomanydifferent

things.

Anintelligentassistant.

Acaregiver’scompanion.

Aclinicalchatbot

to

augmenthuman

thinking.Butincreasinglyit

canbedescribedasapowerfulcompass

thathelpsbothpatientsandcliniciansnavigate

thedizzyinglycomplexproblems

theyaresolvingeveryday.Theseproblemsare

variedandoften

sharedacrosspatients,doctors,andnursesas

theirrolesandresponsibilitiescontinue

toevolve.Fromhelpingtodiagnoseconditionsandrecommending

treatmentstobuildingrelationshipsandcommunicating

withclarityandempathy,healthcareis

shifting

towardamorecollaborativeapproachtoproblem-solving,

whereeveryonecontributes

toreaching

theright

answerinnewandoftenunexpected

ways.Patientsandcliniciansarenowrelyingonasimilar

setof

AI

tools

toaddress

theirownuniquechallenges.

Asaresult,

theissuebecomesnot

whether

AIcanguide

these

journeys,butratherhoweachmemberof

themoderncare

teamisusing

AIas

they

travel

theirownpathways–and

whathappensas

thosepathsdivergeandintersect.In

thisreport,

we

willexplorehowpatientsandcliniciansareengaging

with

AIandhowhealthsystemleaderscanensure

that

AIutilization,bothinsideandoutside

the

traditionalclinical

setting,ultimatelyleads

to

the

samedestination:moreefficient,effective,coordinatedandpatient-focusedcare.3Wolters

Kluwer2026Future

Ready

Healthcare

Survey

ReportPercent

of

clinicians

whouse

AImultiple

timesper

day

at

workPercent

of

patients

whouse

AI

atleast

dailyin

theirpersonal

livesPercent

of

patients

whouse

AI

tounderstanddiagnosesPercent

of

patients

who

very

frequently/

frequentlybring

AI-generatedinformation

to

appointmentsPercent

of

clinicians

concernedabout

“deskilling”Percent

of

clinicians

concerned

about

sponsored

content

within

AI

toolsPercent

of

patients

concerned

about

accountabilityif

AI

causesharmKeysurvey

findingsTogatherreal-worldinsightsintohowhealthcareorganizationsandpatientsare

viewingandusing

AI

throughout

thecaredelivery

journey,WoltersKluwersurveyedapanelof

doctors,nurses,andpatients.We

found

these

fivemajor

themes:1.From

experimentation

to

embeddedinfrastructure:

AIuseisnowanormalpartof

thedailyexperience

forbothcliniciansandpatients,creating

therightconditions

for

AI

tobecome

trulyembeddedineveryaspectof

thecaredeliveryprocess.Withmore

thana

thirdof

cliniciansandpatientsusing

AIatleastdailyat

workandin

theirpersonallives,

widespread

familiaritywith

AI

toolsismakingiteasier

tobring

AI-assistedprocessesinto

clinical

processes

and

relationships.2.

Addressing

different

priorities

within

a

shared

ecosystem:

Whilebothcliniciansandpatientsareembracing

AI,

theyareusingit

to

solvedifferent–

yetintertwined–problems

within

thehealthcareecosystem.Cliniciansare

focusedon

system-levelchallenges

suchasreducingadministrativecomplexityandoperationalburdens,

whilepatientsarezeroedinonhow

AIcanhelpaddresspersonalhealthconcerns.

Successinbothareaswillbenecessary

to

trulyenrich

thehealthcareexperience.3.Reshaping

the

dynamics

ofthe

clinical

encounter:

AI

isreshapinghowinformationentersandinfluencescaredecisions,with

AI-generatedinsightsnow

flowing

topatients

fromclinicians–and

toclinicians

frompatients.

Withmorepatientsbringing

theirownresearchinto

theclinicalconsult,cliniciansarenow

takingonalargerroleasinterpretersand

validatorsofnewinputs,

with

varyingdegreesof

acceptanceandsuccess.4.

Trust

as

the

limiting

factor

in

AI-enabled

care

delivery:Cliniciansandpatientsbothhavereservationsabout

theimpactof

AIonhealthcare,but

theircautionisbeingshapedbydifferentconcerns.

Themajorityof

cliniciansareconcernedaboutissuesincludinghallucinationsandbiasin

AIproducts,as

wellaswidespreadclinical“deskilling”

thatcouldaffecta

clinicians’critical

thinking

skills.Meanwhile,patientsare

focusedonprivacy,accountability,and

transparency.5.

Aligning

on

opportunities

andboundaries

for

AI

to

augmenthealthcare:Bothcategoriesofrespondentsagree

that

AIcanreduce

frictionandimproveoutcomesacross

thecaredeliveryecosystem,and

theyarealignedaround

theimportanceofachieving

thesegoals.Butneither

want

AI

toreplacehumandecision-making.

Theyenvision

AIasanassistive

tool

fordecision-makingrather

than

something

that

willlead

thecareprocess.In

thisreport,

we

will

takeadeepdiveintohowhealthcareorganizationsandpatientsareapproaching

AIadoption,andhowwell

thehealth

system’simplementationand

governanceeffortsarealigned

with

theircurrentand

future

goals.35%4Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

Report4

%42%52%4%5%2%Over

thepast

three

years1

AIhasshiftedfromexperimental

technology

todeeplyembeddedcapability.Itisnowactivelyshaping

thedelivery1efficiency1andexperienceofhealthcare1withbothpatients

andcliniciansgettingincreasinglyacclimatedto–andincreasinglyexpectantof

–

AIin

theirinterconnected

workflows.Cliniciansand

theirpatientsareallusing

AI

frequentlyin

theirpersonalandprofessionallives.Outsideof

theoffice1doctors1nurses1andpatientsareusing

AIatsimilarrates.More

thaneightout

of

ten(82%)doctors176%ofnurses1and81%

of

patientsengage

with

AI

toolsatleastoncea

week.AIuse

within

theclinicalsettingisonlyslightlylower1as

74%of

doctorsand70%ofnursesuse

AIatleastonce

a

week

forprofessionalpurposes.But

thenumbersare

still

significantlyhigher

thanin20251when

just

38%of

doctorsand46%of

nursesused

AI

toolsat

workoncea

weekormore.AsAIisincreasinglyembeddedacrosshealthecosystems,itisprofoundly

shapingexpectationsandbehaviors

for

how

care

isdeliveredandexperienced.Fromexperimentation

toembeddedinfrastructure

OnceormoreperdayA

few

timesper

year

Onceormoreperweek

Never

Onceormorepermonth44%26%8%18%48%24%9%13%52%22%10%9%How

frequentlydo

youuseGenAI

at

work?5Wolters

Kluwer2026Future

Ready

Healthcare

Survey

ReportDoctorsNursesTotal

4%

5%

5%This

samepatternisemergingon

thepatient

sideas

well.Patientsare

starting

to

view

AIuseas

table

stakes

whenitcomes

to

theirhealthcareneeds.Now

thatmore

than7in10patientsuse

AIin

theirpersonallivesmultiple

timesper

week1health-relatedqueriesare

takingcenter

stage.Justoverhalf

ofpatientsareusing

AI

toresearchsideeffects(54%)or

ask

formoreinformationaboutdiagnoses(52%)1while44%use

AI

to

learnmoreabout

theirsymptoms.Inaddition1about4in10patientsareor

wouldconsiderusing

AI

tosimplifycomplicatedmedicaljargonandinterpret

testresults.Unlikeclinicians1

who

tend

torelyonhealthcare-specific

toolsdesignedaround

targetedclinicalusecases1patientsareusinggeneralizedplatforms1suchasGoogleGeminiandChatGPT1

toaskquestionsabout

theirhealthconcerns.Patientsbelieve

that

thesetypesof

toolsprovideresults

thatareeasier

tounderstand

thanmedical

websitesand

fasteratofferinganswers

than

theircareteams–despiteconcernsarounddataprivacyand

security.Overall1

thisbehaviorindicates

thatbasiconlinesearcheshaveevolvedintoamoreactive

formof

self-guidedexploration1whereindividualscanquicklyaccess1interpret1andrevisithealthinformationon

theirown

terms.Therearecertainlybenefits

to

thepatient

journeybecomingmoreself-directed1but

therearealsorisks.Rightnow1weareexperiencinga

sharedlayerof

AIusage

thathasmore

similarities

thandifferencesbetweenpatientsand

theircare

teams.However1

thismomentof

confluencemaybemore

fragile

thanitseems1especiallyifhealthsystemsstruggle

tokeeppatientuseof

AIintegratedinto

thebroaderclinicalcareecosystem

whereexperiencedclinicianscan

verify

AI-generatedinformationandvalidate

appropriate

next

steps.Theintensityofusehasalsoincreasedmarkedly.

Theshareofcliniciansusing

AImultiple

timesperdayhasmore

than

tripled

for

doctors(from10%in2025

to

38%in2026)

anddoubled

fornurses

(from16%

to

32%)1indicating

that

AIisbecomingembeddedinday-

to-day

workflows.The

seismicnatureof

this

shift

getsevenclearer

when

zeroinginonthepercentagesof

clinicians

whosay

theyhaveneverused

AIinaprofessionalcontext.In2025143%of

doctorsand

34%ofnurses

said

theyhadnoexperiencewith

AIat

work.Just12monthslater1

those“neverused”numbershavecollapsed.In20261amere9%of

doctorsand18%of

nursesneveruse

AI

toolsin

the

workplace1showing

that

the

technologyhasclearlycrossed

a

threshold

fromdigitalnovelty

toroutine

workflowcompanion1particularlyamong

thephysiciancommunity.Cliniciansareusing

AI

within

the

workflow

fora

varietyofpurposes1anchoredby

familiarusecasessuchassummarizingmedicalliteratureoranalyzingdata1generatingpatienteducation

materials1checkingdruginteractions1using

AIscribes

forgenerating

documentation1andsupportingdiagnosticdiscovery.Summarizingmedicalliteratureoranalyzingdata

54%Medicalliteraturebaseddiscovery

49%Using

AIscribes

tolistenanddraftnotes

44%Diagnosissupportorcheckingdruginteractions 41%Generatingpatienteducationmaterials

36%Draftingemails

topatientsorreferralletters

34%Simplifyingcomplexmedical

jargonintoplainlanguage

forpatients

22%Summarizingmedicalliteratureoranalyzingdata

43%Generatingpatienteducationmaterials 41%Checkingdruginteractions

37%Communicating

withnon-Englishspeakingpatients

32%Draftingshifthandoffs,dischargesummaries,ornursingnotes

29%Supporting

training

fornewernurses

29%Simplifyingcomplexmedical

jargonintoplainlanguage

forpatients

28% In

which

areas

of

yourrole

are

you

currentlyusing

AI?6Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

ReportDoctorsNursesRapidincreasesin

AIuseclearlyshow

thatpatientsandcliniciansbelievestronglyin

thepotentialof

the

technology

toimprove

their

experiences.However1patientsandclinicians

comeinto

theirrelationship

fromdifferentperspectives1andhavedistinctprioritiesandpreferencesevenas

they

work

toward

thesamegoalofbetteroutcomes

and

smootherexperiences.Thatleaveshealthcareleaders

with

thechallengeof

supportinga

widerangeof

AI-drivenusecases

thatarebothoverlappingand1at

times1in

tension

withoneanother.Asaresult1healthsystemsmay

find

themselvespulledinmultiple

directions

whendetermining

whereandhow

toinvestin

AI

tools1especiallyinanenvironmentoflimitedresourcesandcompeting

demands.AIisbeing

adopted

across

healthcare,butnotalways

for

the

same

reasons—creating

new

tensionsbetweenoperationalefficiencyandpatientexpectations.Addressingdifferentprioritieswithin

a

sharedecosystemAtahighlevel1

thereisagreementon

thegoal.Roughly61%ofcliniciansbelieve

AIcanhelpclinicians

spendmore

timeonpatient

care1and74%ofpatients

feel

thatgenerative

AI

canbe

anefficientway

forclinicians

toseekinformationrelated

to

theircare1pointingtoa

jointdesire

touse

AI

toreduce

frictionandimprove

theoverallcareexperience.Butbeyond

thatheadline1

thedefinitionof“improvement”begins

todiverge.Yes:61%Yes:61%Yes:61%IsGenAImakingitpossible

for

you

to

spendmoretimeonpatient

care?●

Yes

61%●

No

23%●

Don’tknow

16%●

Yes

61%●

No

23%●

Don’tknow

16%●

Yes

61%●

No

24%●

Don’tknow

15%7Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

ReportDoctorsNursesTotalForclinicians,

the

valueof

technology-drivenimprovementsis

tied

toeliminatingoperationalpainpoints,reducingadministrativeburdens,and

gainingcognitivesupport.Over

thenext

three

years,clinicalrespondentsenvisioncontinuedchallenges

withcostcontainmentpressures(79%),

time

spentonadministrative

tasks

suchaspriorauthorizations(79%),andstaffingshortagesorretentionissues(74%),allof

whichrepresentprimeusecases

for

AI-assistedrelief.Patientsareless

focusedon

theseinternalpressures–andlessuniformlycomfortable

withhow

AIisapplied

toaddress

them.Forexample,7in10patientsoverallarecomfortable

with

AIbeingusedaspartof

obtainingpriorauthorizations.While63%ofpatientsapproveof

cliniciansusing

AI

toanswer

theiremails,they’remarginallymoreamenable(73%)

tooneof

themostpopularusesof

AIin

the

workflow:usingambientlistening

for

transcribingconversationsand

generatingclinicaldocumentation.Thesedifferencesbecomeevenmorepronouncedacrossdemographicgroups.Itmaynotbesurprising

thatpatientsaged55anduparegenerallylesscomfortable

than

youngerindividualswith

theseusecases.But

thedataalso

foundaclearsplitbygender,regardlessof

age.Malepatientsexpressedmorecomfort

with

AIusethan

femalepatientsacross

theboard,

with

femalerespondentsshowingmarkedlyhigherreluctance

for

AI

to

takepartindiagnosingconditions,analyzing

testresults,andprescribing

treatments.Thisisaclear

signal

thatcliniciansandpatientsmaynot

yetbefullyalignedaroundallof

thehealthsystem’smosthigh-priorityoperationalusecases.Healthcareleaders

willneed

to

takeaconsideredandpatient-centeredapproach

toidentifying

where

AIcanprovide

themost

value

while

stillrespectingpatientpreferencesas

AIreshapes

theclinicalexperience.Recognizing

whatpatientsdo

want

tosee

from

AI

willbeanimportantstepin

therightdirection.

Asevidencedby

theirwidespreaduseof

consumer-grade

AI

tools

togatherinformationontheirown,patients

wantaccess,clarity,

speed,and

self-navigationcapabilities

that

willhelp

themhavemoreinformedconversationswithcliniciansandmakemorepersonalizeddecisions.Appointment

schedulingNotetakingand

documentationWritingemails

toaninsurerRenewingorprescribing

medicationAnsweringemailsInterpreting

x-raysorotherMakinginsurancecoveragedeterminationsPrescribingmedicationAnalyzing

testresultsandMakingadiagnosis

and

79%

84%

74%

73%

78%

69% 71%

78%

64%

69%

76%

62%

63%

76%

50%

59% 71%

47%

57%

68%

47%

52%

63% 41%

52%

62%

42%

48% 61%

36%Howcomfortable

are

you

with

AIbeingused

todothe

following

autonomously,i.e.,completelyonits

own?(Percent

respondingTotallyComfortable)frompatientsmedicalimages●Totalpatients

Malepatients●Femalepatients8Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

Reporttoobtainpriorauthorizationbasedonanewdiagnosisrecommending

treatmentordering

treatmentHow

frequentlydo

youbringGenAI

generatedinformation

to

amedical

appointment?Very

frequently

19%Frequently23%Sometimes28%Howreceptive

was

the

doctor/nurse

to

theinformation

youbrought

to

the

appointment?They

welcomedandengaged

withit59%Theylistenedbutdidnot

fullyengage

20%Theyacknowledgeditbutdidnotdiscussit

further

19%How

frequentlydopatients

come

tomedical

appointmentshavingdone

their

ownhealthresearchusing

GenAI

tools?Very

frequently17%Frequently43%Howreceptive

were

you

to

theinformation

yourpatientbrought

to

the

appointment?Irevieweditandexplainedhowitalignedordidnotalign

withtheevidence-basedresourcesIuse56%Ireviewedit

with

themandincorporateditintoourdiscussion

31%Ilistenedandacknowledgedit,butdidnotreviewitindetail

10%Theclinicalencounteris

wherepatientsandcliniciansdemonstrate

thestrongestalignmenton

theirunifiedgoals

toimprovecareoutcomes.Real-worldpatientbehaviorsindicate

thatpatientsareactivelyleveraging

AI

to

fuelmoreinformedanddata-drivenconversationsabout

theirhealth.Overall142%ofpatients

frequentlyor

very

frequentlybring

AI-generatedinformation

to

theirappointments.

Thatnumberexplodes

to81%of

the

youngestpatients(18-24

yearsold)1andstays

strong(around56%)amongpatientsin

their

30sandearly40s.Reshaping

thedynamicsofthe

clinical

encounter

AIresultsin

the

exam

room9Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

ReportClinician

perspectivePatient

perspectiveFrom

theirperspective1cliniciansareseeingsimilar

trendsamongtheirpatients.

Sixtypercentof

doctorsandnurses

say

they’vehadpatients

frequentlyor

very

frequentlybringin

AI-generatedinformation1andcliniciansare

fairlyaligned

with

theirpatientson

how

thatinformationgetsusedduring

theencounter.More

thanhalf

(56%)of

clinicianssay

theyreviewpatient-provided

AIdataandexplainhowitalignsordoesnotalign

with

theevidence-basedresourcesused

tomakeclinicaldecisions.

A

further

31%saytheyreview

thedataandincorporateitinto

the

visitasadiscussiontool.Butdoctorsandnursesaremuchlesslikely

than

theirpatients

tosaytheyaredismissiveof

AIdata1

with

just

3%saying

they

try

toredirect

conversationsaway

from

theinformation1showingamismatchinhowcliniciansandpatientsperceive

theseinteractions.Theincreasing

frequency

with

whichpatientsbring

AIinsightsintotheclinicalencounterisreshaping

theroleof

theclinician.Patients

arenowexpectingbothdoctorsandnurses

to

validate1interpret1andcontextualizeoutsidedata1

whichcanputadditionalstrainon

theprovider.Thisintroducesnewcognitiveandcommunicationdynamics.

As

AIbecomesmoredeeplyembeddedonbothsidesof

therelationship1

theability

toalignonhowinformationisintroduced1interpreted1andactedupon

willbecomeadefining

factorin

theeffectivenessof

thepatient-clinician

interaction.Overall1bothpatientsandcliniciansareoptimisticabouthow

AIcanassist

them

with

these

goals.

Seventypercentofboth

groupsbelieve

that

AIcanenablebetterpatienthealthliteracyandengagement1whichdirectly

tiesback

to

thegoalof

improvingcommunicationandreducing

friction

within

the

patient-clinician

relationship.AspatientsbringAI-generatedcontentintothe

exam

room,cliniciansareincreasingly

spending

timeinterpretingandvalidatingthatgrowing

streamof

information.Manypatientsreport

that

theirclinicians

welcome

thisnewbehaviorpattern.

Justunder60%said

theircliniciansopenlyengaged

withthedata1althoughpatientsin

their

thirties

feltmorestrongly

thanyoungerpatients

thatclinicians

take

theirnotes

seriously(86%of

30-34

yearolds

vs.41%of

18-24

yearolds).Notably114%of

seniors(65+)alsosaid

their

clinicians

activelyminimizedorbrushed

thedataaside1highlightingpotentialage-relatedbiasesinhowcliniciansinteract

withpatients

whouse

AI

tosupport

theirowncare.10Wolters

Kluwer

2026Future

Ready

Healthcare

Survey

Report本报告来源于三个皮匠报告站（）,由用户Id:349461下载,文档Id:1287160,下载日期:2026-08-05AIadoptionisaccelerating1but

trustisnot

keepingpace.Cliniciansandpatientsarealreadyactivelydefiningboundariesaround

how

AIshouldbeusedin

thehealthcaresetting1with

thoselimitslargelycenteredon

preservinghumanoversight1critical

thinkingskills1anddecision-makingabilities.Bothgroupsareadvocating

forrobustgovernanceof

AI

tools

topreventpotentialproblems

withhow

AI

willbeusedinpractice.Forclinicians1

theconcernslargelycenteronretainingcontrolandautonomyover

theirability

tomake

trusted1independentclinicaldecisions.Forexample1

three-quarters(74%)anticipate

thatclinical“deskilling”

willbeoneof

the

greatestrisksof

overrelianceon

AItools1especiallyasdecisionsupportmodelsoffer

toautomatemoreof

theprocessarounddiagnosticsand

treatmentplanning.

Justovertwo-thirds(68%)ofpatients

share

theseconcerns.AIproductivitytoolshave

unintentionallycreatedan

additionalworkflow

stepfor

doctors

and

nurses:the

validationof

AI-generated

clinicalcontent.Trustas

thelimitingfactorin

AI-enabledcare

delivery Howconcerned

are

you

aboutdeskilling?Both

clinicians

and

patients

are

concerned

about“deskilling”as

aresult

of

over

reliance

on

AI77%11Wolters

Kluwer2026Future

Ready

Healthcare

Survey

ReportTotalcliniciansPatientsDoctorsNurses68%70%74%Therisksof

deskillingarecompoundedbyongoing

worriesabout

AIhallucinations,

whichmayinfuseinaccurateorirrelevantinformationinto

thedecision-makingcycle.Onceagain,

three-quartersofclinicians(74%)citedhallucinationsasamajorconcernaffectingtheirability

topracticeappropriately.

And

while

73%

said

theyaresomewh