big data challenge – from emr’s to translational research分析課件

big data challenge – from emr’s to translational research分析課件

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時間:2017-12-17

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1、BigDataChallenge–FromEMR’stoTranslationalResearchMiroslavKon?ar,PhD OracleHealthcareBusinessDevelopmentDirector HL7CroatiaChair,AssociateProfessorforBiomedicalInformaticsWhatisBigDataWhyitisimportantforHealthcareProvidersNowMITBigDataDefinitionWhatkindofbi

2、garewetalkingabouthere?U.S.Healthcaredataisgrowingby15Petabytesaday–currentlyUpto80%ofhealthcaredataiscurrentlyunstructured.5millionbytes(megabytes)CompleteprintedworksofShakespeare20billionbytes(gigabytes)CompleterecordedworksofBeethoven10trillionbytes(te

3、rabytes)PrintedworksintheLibraryofCongress2quadrillionbytes(petabytes)GoogleEarthinformationmanagedtodayTypicalperson’sEHR~1MBhealthyyoung,noimages40MBmiddle-agedw/healthissues,noimages3-5GBwithseveralhealthissuesw/images600petabytes-10exabytes(exabyte=bil

4、liongigabytes)EstimatedsizeofcurrentUSdigitizedpatientdata1.5millionEstimateddifferentmedicaldevices(WHO)BigData:Themanagementanduseofultra-largeamountsofinformationManagementanduse=efficientstorage,search,analysis,visualizationUltra-large=>1PetabyteChroni

5、cDiseaseMgt.CarePatternsPopulationHealthPayforPerformanceTelemedicinePatientAdvocacyCustomerSatisfactionDiseaseMgt./PreventionSocialMediaInteractionsCare/ProcessImprovementsMarketing/BrandingWhereAreYourBigDataOpportunities?Lowercarecostandraisecarequality

6、CapacityManagementStaffingOptimizationProtocolOptimizationProcessEfficiencySupplyStandardizationCostAccountingPersonalPreferencesIndividualizedTreatmentBiometricsDataManagementApplyResearchNewClinicalProtocolsAccountableCarePatientEngagementPersonal&Transl

7、ationalMedicineOperationalExcellence1234WhyOracleforBigDataBigData:Oracle’sDefinitionLargevolumes,highchangevelocity,complexvariety,unknownvalueperbyteEmergingsourcesofdata,ie.sensor,machinegenerated,social,images,unstructured,etc.,thatexhibitanyorallof“th

8、efourV’s”,potentiallyintegratedwith“traditional”structureddataHealthcareproviderscanacquire,organize,process,analyzemassiveamountsofdata,primarilythroughtheuseofscale-outonlow-costhardware,non-relationaldatam

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