Many Blessings and Some Curses with an LIS That's Fully ... · Blessings Curses • Greater...

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Many Blessings and Some Curses with an LIS That's Fully Integrated with the EHR: Using Epic to Support Clinical Collaborations and Contribute to Improve Patient Care Raj C. Dash, MD Executive War College April 30, 2019

Transcript of Many Blessings and Some Curses with an LIS That's Fully ... · Blessings Curses • Greater...

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ManyBlessingsandSomeCurseswithanLISThat'sFullyIntegratedwiththeEHR:

UsingEpictoSupportClinicalCollaborationsandContributetoImprovePatientCare

RajC.Dash,MD

ExecutiveWarCollegeApril30,2019

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Agenda

•  AboutDuke:Enterprise,ITandLabconfiguration

•  Beaker/LIShistory•  Blessings&ChallengesofanintegratedEHRwithspecificexamples

•  FutureOpportunities

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Disclosures

The following speaker has relationships with interests to disclose: Raj C. Dash, MD •  College of American Pathologists, member of Board of Governors, Informatics Committee,

Council of Scientific Affairs, Information Technology Leadership Committee •  Leica Biosystems, member of Digital Pathology Advisory Board •  Epic Beaker, member of Pathology Steering Board

BackgroundComputerscience>softwaredeveloper>medicalschool>pathologyresident>fellowships–informatics,cytopathology>biobankinginformatics+diagnosticpathology>clinicalinformatics+dxpathRolesVice-Chair,PathologyIT,DepartmentofPathologyDirector,LaboratoryInformaticsStrategy,DukeHealthTechnologySolutionsMedicalDirector,LaboratoryInformationSystems,DukeUniversityHealthSystem

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Duke Health

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Beaker:TechnologyHypeCurveExpectationsvsFunctionality

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WhyDiscussBeaker?

•  Laboratorytestingcomprisesasmallpercentageofthetotalhealthsystemspendbutgeneratesalargepercentageofactionabledata

•  You(should)beabletoprovidemorevaluethananyotherphysicianasthepathology/laboratorydatasubjectmatterexpertforyourhospital

•  YouneedyourEHR/LIStohelpyouframetherightquestionssuchthatyourexpertreviewofthedataaddsvaluethatcannoteasilybegeneratedfromothersources

TheValueofLaboratoryScreeningandDiagnosticTestsforPreventionandHealthCareImprovement.TheLewinGroup,Inc.September2009.

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DukeITHistory

•  DukeUniversityHealthSystemITdevelopmentbeganwithcustomsoftwarefordoctor’snotes(DHIS)

•  Alabsystemfollowedshortlythereafter•  CERNERPATHNETinstalledintheearly1990s

•  WebbasedEMR,eBrowserwentlivein1997.•  ExplorednewLISin2000,2005•  EPICwentliveasEMRonJune232013

•  EPICLabsystemliveinsmallhospitalMar2014

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BeakerLISEvolutionatDuke

•  2012– Aglorifiedwordprocessor?

•  2014– WYSIWYG(richtextformatting)– MaturingCPmodule,workableMicrobiologyandAPmodules

– Solidcancersynopticimplementation•  2015-2018

– Minorworkflowimprovements

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ConfigurationConsiderations

•  Orders•  Results•  DepartmentStructure•  SpecimenAnnotationandTracking•  Labels

•  Site,Source,Specimen•  Point-of-Care

•  ClinicalPathology•  Autoverification•  Middleware•  Automation•  SpecialtyLabs

•  AnatomicPathology•  SurgicalPathology•  Cytopathology•  Autopsy

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BuildingLaboratoryOrders

•  Themostimportantpartofalaborderisthenameoftheorder

•  Thelaborderbuildshouldincludeevaluationofspecimen-centricandtest-centricordering(APvsCP?)

•  Add-Onordersrequiressomethought– Specimenexistsvsmustbecollected– Encountercurrent,closed,veryold

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Departmentvs.SectionStructure•  Designingyourvirtuallaboratoriesusing“DEPs”vsSections

(latterfavored!)•  DifferentDEPsallowforgranulartrackingofspecimensas

theyenter/leaveDEP•  DifferentDEPsrequirespecimenstobeputonpackingliststo

transfer•  DifferentDEPscannotbydefaultseeeachother’spending

lists

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Specimen,Source,Description

•  “Source”– PhlebotomyCollection“Source”

•  Centrallinevsantecubitalvein– MicrobiologyCulture“Source”

•  Throatswabvsabscessvsblood– TissueSpecimenAnatomic“Source”

•  Leftvsrightbreast

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SpecimenAnnotation

•  TestCentricOrdering–  Designedforbloodspecimens

–  Source,Orderinglocationhelpful

–  Canworkforsingletissuespecimen(inversion2014)

– Multiplespecimensget“enumerator”

–  Improvedin“version2015”

•  SpecimenCentricOrdering–  Facilitatesefficientcollectionofmultipletissuespecimens

–  Canhavepresetbuttonsforrapiddataentry

–  Specimenscanbe“duplicated”

–  Distinctlabelforeachspecimen

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TestCentricOrdering

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SpecimenCentricOrdering

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SpecimenTracking

•  Orderedbutnotcollected•  Collectedbutnotreceived•  Receivedbutnotresulted

– Receivingmultiplespecimensatonce– Supportingadistributioncenter(kindof)

•  Packinglistcontainingpackinglists

•  Specimeninquiry•  Caseinquiry

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LabelPrinting

•  Labeldesign– Specimen-centricordering(HSC#)– Test-centricordering(Julian#)

•  Labelstock– Regular– Xyleneresistant

•  Labelhardware(Z4MvsQLN220vsGX430T)•  Labelprinterorientationconfiguration

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ClinicalPathology–KeyIssues

•  Improperlyplacedorders– Ordersnotcollected(inEpic)cannotbereceivedinlab

– Wrongtest

•  Autoverification•  SettingupinstrumentQC•  Criticalcallbacks

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SurgicalPathology

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SurgicalPathology–ORDERINGIHC

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SnapshotRep

orts

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PathologyReporting

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SynopticReporting

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SynopticReporting

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SynopticReporting

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LegacyData

•  HistoricalPathologyCases

•  HistoricalPathologySummary

•  LegacyAddendums&Amendments

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LegacyData

•  NewBeakerreportforaddendumsandamendments

•  Scan+orderlinking

•  Assignedsamecollectdate

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BuildConsiderations:SpecialtyLabs

•  ImageCytometry•  FlowCytometry•  MolecularDiagnostics•  BiochemicalGenetics•  HLA•  TransfusionMedicine

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ImageCytometryFreeText(withsmartphrases)

DiscreteData

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Reporting

•  ReportingWorkbench(Chronicles)•  Clarity•  Buildingareport

– Functionalspecifications– Therightexpertise(SME,IT,report)– Validation– Performance

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ReportingWorkbenchvsClarityvsUniverse

•  ReportingWorkbench–  Accesstoreal

timedata–  Access<30

daysofdata–  User

configurable–  Designedfor

smalldatasets

•  Clarity–  Onedayold

data–  AccessallEpic

generateddata–  BuiltbySQL

programmers–  Userscanenter

parametersbutnotveryconfigurablebeyondthat

•  Universe–  3dayolddata–  AccessallEpic

andlegacydata

–  Portalcreatedbyprogrammers

–  Userscanconfigure!

–  Canhandlelargedatasets

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ReportingWorkbench

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Universe

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TheNewSelfServiceDataTool:SlicerDicer

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TheNewSelfServiceDataTool:SlicerDicer

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MakingUseoftheData:ExampleScenario

•  ThepatientportalITfolkswouldliketoknowifroutinelabresultscouldbereleasedimmediatelytopatientsand/orifitshouldoccuratvarioustimesduringtheday.Ifso,atwhattimes?

•  Themedicaldirectoroflabsindicatesthatsomesmallpercentoflabs(lessthan1%)arecorrectedinsomewayafterthefinalresultispublished(usuallytoaddcommentsorclarificationsbutrarely,resultvalueschange).Itwouldbenicetohavecorrectionsinplacebeforesendingontothepatient.

•  Howtodrivethedecisionmakingprocess?

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AskingQuestions:WhatshouldbethedelaybeforereleaseofresultstoMychart?(Timetocorrectioninstatlabfor1mo)

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AskingQuestions:Whattimeofdayareresultsreleased?(statlabfor1mo)

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AskingQuestions:Whattimeofdayareresultsreleased?(microlabfor1mo)

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WillMyPracticeLoseMoneywithBeaker?

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ChargeCaptureProcess(aka“amIbillingproperly?”)

•  BuildingprotocolswithcorrectCPTcodes•  Ensuringtasksarecompleted•  Ensuringchargesarereviewed•  Validatingthatchargesdroponverification•  Ensuringrollupiscorrect•  Working“workqueues”•  Eliminating“errorqueues”•  Reconcilingresultsvscharges

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ReasonsWhyaChargeMayNotDropatVerification

•  Chargeswerenotreviewedbypathologist–  Tasksandprotocolscanbeaddedafterverification!–  Example:specialstainsorderedbutneverresulted!

•  Task/protocolchargesnotconfirmedbylabstaff–  Veryeasytomisstasksnotconfirmed.–  Chargecanbereviewedbypathologistsbutwillstillnotdropiftaskisnotconfirmed

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ReasonsWhyaChargeMayNotReconcile

•  Task/protocolchargemanuallydeleted•  Task/protocolchargemanuallyedited•  Chargeaddedwithoutaddingtaskorprotocol

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Task/ProtocolChargesnotReviewed

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TasksNotConfirmed

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APReconciliationConcept

ProtocolchargesTaskcharges

thatshoulddrop

Actualchargesthatdropped

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DevilisintheDetails

•  RegulatoryCoding(LOINC,CPT,ICD10)•  Hardwareconfiguration•  Barcodechoices•  Labeldesigns•  Ordernamestandardization•  ElectronicLabManual•  Decisionsupportrules•  Integratedworkflows•  Governance

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ITIOC(Oversight,$$$)

EOCEnterpriseStrategy

CITOCClinical

Optimization

StakeHolderGroups(19)Prioritization

ClinicalInformaticsandITGovernance

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ClinicalInformaticsArchitect

ITDirectorforPathology&LaboratoryServices

EpicSeniorDirector

LabInformaticsStrategyDirectorAP/LabsMedical

Director

TechnologySeniorDirector

ContentCaptureSpecialists(SMEs)

ClinicalSuperUsers

TechnicalAnalysts

TechnicalManagers

LabManagement

Pathology/LabsInformaticsOrgChart

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ClinicalArchitectTechnicalArchitect

CentralIT,ClinicalLeads,BillingMultidisciplinaryWorkTeams

FieldSupport

Developer

TechnicalAnalyst

InterfaceSupport

RevenueSpecialist

ClinicalSuperUser

ContentCaptureSpecialist(SME)

CoreLeadership

ExpertsPulledinAsNeeded

CoreWorkUnit

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CustomizingBeakerForYourOrganization

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CaseScenario:ServiceLineAnalysis

•  OurcasesareassignedtoDuke“clinicalservices”atthetimeacaseisbeingexaminedgrossly

•  Thepathologistconfirmsthecorrectserviceassignmentpriortoverificationofthecase

•  Thisdiscretefieldcanprovideasurprisingamountofinformationtoguidepracticedecisions

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CaseScenario:ServiceLineAnalysis•  Basicreportparameters– Month-Year

– Accession#–  ServiceCode(IDandtext)

–  Taskname–  Count

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CaseScenario:ServiceLineAnalysis

•  Tasknameandoutputexamples

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CaseScenario:ServiceLineAnalysisCompareBlockQtyAcrossMajorServices

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SummaryBlessings Curses

•  GreaterfunctionalityleveragingEHRdata

•  Rapidimprovementovertime

•  Highlevelofcustomizabilityandconfigurability

•  Specimentracking,barcodedrivenworkflowanddataprovenancetransparency

•  Fewerinterfaces

•  Datamodelcomplexityandinformationoverloadleadsto:–  Increased“clicks”,time–  Unexpecteddependenciesandsystemfragility

–  IncreasednumbersofFTEstomaintain

–  Greatercoordinationamongteamsforchanges

–  Increasedoverheadforchangecontrol

–  Potentialfor“epic”downtimes

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FutureOpportunities

•  Betterdesignedworkflow,particularlyforAP/SurgicalPathology– DigitalPathologyworkflowsupport

•  Betterdesignedworkflowanddatamodelformoleculardiagnostics

•  GreaterintegrationamongEpicmodules(e.g.OpTime<->Beaker<->Beacon)

•  OpportunitytopositionPathology/Pathologiststocreatemorevaluefortheorganization!