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2、ned in this document.Diagnostics Industry 2025 and Beyond in AsiaDigital transformation of the laboratoryJanuary 20232DisclaimerThis document is to provide information and is for illustration purposes only.Accordingly,it must be considered in the context and purpose for which it has beenprepared and
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10、e.3Process inefficiencies are a key bottleneck for labs today;it is believed that up to 70%of lab workers time is wasted performing administrative tasks,doing preparation work,cleaning data and reportingKey challenges in labs todaySource:L.E.K.research and analysisLack of automation The majority of
11、lab processes,including sample preparation,processing and analysis,are currently run manually with minimal automation,especially at the sample prep stepFragmented data capture Data is often captured at multiple instrument locations,often in different parts of the lab ecosystem,complicating data capt
12、ure and retrievalLack of data standardization/inter-compatibility Data storage,analysis and reporting are highly fragmented due to varied file formats,coding challenges and a lack of unified reporting toolsAdministrative inefficiencies Test ordering and reporting,procurement,inventory tracking,and d
13、ay-to-day management are largely done manually with significant room for optimization4The future of the lab is a data-driven businessLabs have to become data providers for their clients,whether internal(e.g.,other departments)or external e.g.,Pharma/Life Science companies,regulatory bodies or other
14、stakeholders)The lab of the future is envisioned to be a highly automated data-enabled service organization supplying consumers/patients,healthcare providers or other stakeholders directly a specialized advisorA more holistic quality paradigm and broader access to(analytical)data enable labs to act
15、as specialized advisors giving decision support(e.g.,through application of artificial intelligence technologies)interconnected in a broader ecosystemLabs will integrate into a wider ecosystem of laboratories to more efficiently utilize existing capacity and exchange sample data operational 24/7 wit
16、h low turnaround timesUse of centralized and remote monitoring,and predictive maintenanceAutomated sample transportation and system integration with other stakeholdersSource:L.E.K.research and analysis5Digital workflows in the lab,relying on process automation,support of data analysis through AI and
17、 predictive maintenance,are key drivers of efficiency and the reduction of diagnostic errorsSource:L.E.K.research and analysisKey drivers of efficiency in the labKey drivers of reduction of diagnostic errorsReport creationSample collection and preparationSample processing and data compilationResult
18、aggregation and analysis Physical workflowDigital workflowSample barcoding for further track and traceRecognition of samples and related testing scopeAutomated sample allocation to lab areas and respective teams/staffGuided operations support via AR/VR/handheld devices and digital SOPsCollection of
19、analytical raw data and data integration of raw data into ELN/LIMSElectronic transfer of result data into ELN/LIMSSupport of data analysis through AISupport of OOS/OOL/OOC handling and automatic integration of metadataCreation of analytical report(e.g.,certificate of analysis)Interfacing of usage de
20、cision and wider operations systemCollection of samplesPreparation of samples and pretreatmentProcessing of samples according to scope of analysisCompilation of sample raw data Aggregation of sample data results and handling of OOS/OOL/OOCProcessing and interpretation of sample data,incl.metadata ca
21、pture(e.g.,CAPA)Creation of analytical reportMaterial/batch usage decision based on analytical resultPredictive maintenance6Solution providers are developing enablers to streamline and accelerate the lab workflowSource:Company website,L.E.K.prior experience Reporting and record managementSample coll
22、ection and preparationSample processing and data compilationResult aggregation and analysis Examples of enablersExamples of solution providersExamples of enablers along the lab workflowBarcode system Lab Information Management Systems(LIMS)Cloud-based Electronic Lab Notebook(ELN)Automation and robot
23、ization equipment for sample handlingAI-assisted pathological diagnosis platform to automatically identify the regions containing tumor cells AI-assisted NGS data analysisto detect low levels of cancer DNA in the blood sampleDigital platform providing visual display and trending of lab results,healt
24、h records,summary of health risks and personalized recommendation for patients7Automation,digitalization and applying AI concepts will help address significant optimization opportunities across the labDigital optimization leversFully paperless lab based on digitized documents with robust audit trail
25、sReduced repetitions through IT-supported diagnosticsReduced processing errors through reduction of manual interface and LIMS usageReduced waiting times facilitated by testing capacity and availabilityDigital inventory tracking avoids overstock/shortagesand allows efficient material dispositionOptim
26、ized motion sequence allows setup and order of equipment based on the sample flowElectronically tracked samples support optimal flow of samples through the labManpower optimization through increased use of AI toolsSource:L.E.K.research and analysisOverview of key digital optimization levers8Workflow
27、 digitalization and automation cut across all diagnostic areas,with a substantial reduction in processing time(up to 50%)Sample arrival at labSample processing and preparationDiagnostic testsData analysis and interpretationReport creationand sharing of guidanceCytomor-phologyAutom.+AI+Immuno-phenoty
28、pingAutom.+AI+Chromosome analysisAutom.+AI+FISHAutom.+AIPCRAutom.+AINGSAutom.+AI+GenotypingPhenotypingLab best practiceIndustry standardTime saving of best practice12 hours25%10 hours50%34-82 hours20%34-82 hours10%6 hours30%14 hours30%Note:Benchmarks referring to current standard lab with average le
29、vel of digital maturitySource:L.E.K.research and analysisLow impact or n/aHigh impactMedium impact9Looking into the future,a fully digitalized lab workflow could enable usage of disruptive technologies,with additional efficiency gains anticipated Source:Company websites;Omnia Health;MLO;Graves et al
30、.;L.E.K.research and analysisKey elements of a digital lab in the futureDigital lab assistantsAugmented reality for data capture and QCDigitized samplesConnected equipment using IoTDescription Most tissue samples will be digitised in the form of 2D and 3D images These digital samples can be analyzed
31、 using AI technology(e.g.,image recognition)Central(remote)control of equipment Automated process and information flows between instruments and devices,including pipettes,dispensers and scales Seamless capture and sharing of samples and data Real-time guidance of process steps for lab staff and reco
32、rding of procedures Hands-free access and visualization of data from various sources Voice-enabled data capture at the point of testing Quantum computing for the storage of digital samples is in development for wide adoption of digital specimen OEMs such as Eppendorf and Roche focus on integration o
33、f instruments in development;Siemens provides connectivity solutions for medical devices Magic Leap developed augmented reality solutions that can capture and share 3D models,with further applications under development The start-up LabTwin developed an assistant that uses voice recognition for data
34、capture during experimentsExample10Challenges in healthcare talent retention and the rising cost of medical resources in APAC are expected to be key contributors to the acceleration of the lab digitalization processNote:*Survey question:As a healthcare professionals,do you plan to resign in 2022?Sou
35、rce:Michael Page Talent Trends 2022 The great X report,LinkedIn 2022 Global Talent Trends,L.E.K.research and analysis89%85%80%80%76%72%11%9%13%20%13%22%7%11%020406080100YesVNPHPercentage of respondents*THMYIDSGUnsureNo6%6%SE Asia healthcare and life sciences employees intend to resign(2022)3.23.55.1
36、5.35.45.55.56.26.59.810.415.505101520Natural Resources and EnergyBanking and Financial ServicesEcommerce/InternetProperty and ConstructionRetailTransport and DistributionTechnologyProfessional ServicesIndustrial and ManufacturingLegalFast-Moving Consumer GoodsHealthcare and Life SciencesExample:Indo
37、nesia salary annual increase(2021)Percentage of respondents11Lab digitalization,and in particular the accumulation of data,also opens up the creation of new monetization opportunities,although regulatory and ethical challenges remainSource:L.E.K.analysisInnovative models for lab data monetizationReg
38、ulation of and ethical questions about lab data monetizationRegulatory restraintsEthical questionsKey topicsData ethicsEthical use guidelines for data applicationsData securityMechanisms for data protectionData privacyConfidentiality and privacy guidelinesData rightsIndividual right to data safety a
39、nd ownershipLab and HQ Cooperates with health data analysis firm Prognos Health to provide data and insight reports to healthcare institutions for patient journey analysis,marketing campaign optimization,etc.Pharma,medtech,etc.(U.S.)Directly sells de-identified information to diverse organizations,i
40、ncluding information derived from diagnostic results,prescribing information,and claims and payment dataPharma,medtech,etc.(U.S.)Genomic(Germany)Cooperates with diverse organizations including labs and hospitals;provides large data set of biomarker data,lab data and clinical data for diverse purpose
41、s such as AI training and patient journey analysisPharma,medtech,AI players,etc.CustomerService12In terms of engagement,laboratories needs and preferences continue to evolve;principals and distributors need to adapt their engagement model to create a distinct purpose for interactionsLaboratories pre
42、ferences for engagementSource:L.E.K.research and analysis What do laboratories seek?Consistent and timely issue resolution for customers to drive brand affinity and loyaltyAgile and real-time supportCoordinated,relevant and fit-for-purpose content across various interaction points(e.g.,F2F,email,pho
43、ne calls,customer portal)Personalized content,less spamEmpower lab to self-access information from their desired channels(e.g.,mobile app,website or other platforms)On-demand information(accessible anytime and anywhere)Facilitate interactions and access to peers and KOLs through professional communi
44、ties/networkGreater connectivity to peers/KOLsEngage in objective conversations and provide greater access to independently reviewed information to earn trust and advocacyAccess to unbiased information13COVID-19 has catalyzed digital engagement and increased adoption and acceptance for remote and di
45、gital toolsSource:L.E.K.research and analysis After-sales supportPrepurchasePurchaseUsage/TrainingExamples of enablersDigital initiatives along the laboratory purchase journeyLaunch online portal to showcase company products and demosLeverage AR to provide interactive 3D model of IVD instrument for
46、demonstrationActively promote online flagship storeOffer VR-based training with guided instructionsLaunch device management platform for remote monitoring after deploymentLeverage merged video stream with annotation to provide instant hands-on support remotelyNON-EXHAUSTIVEPrincipals resorting to digital solutions14Connect with L.E.K.L.E.K.Singapore+65 6206 09609 Raffles Place#30-01 Republic PlazaSingapore 048619So PauloSydneyMelbourneSan FranciscoLos AngelesChicagoBostonNew YorkLondonParisWroclawMunichShanghaiBeijingTokyoSingaporeHoustonMumbaiMadridWarsaw