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Enabling Digital Diagnostics with a Data Science Platform

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Enabling Digital Diagnostics with a Data Science Platform

  1. 1. SLIDE‹#› EnablingDigitalDiagnostics WithaDataSciencePlatform WadeL.Schulz,MD,PhD DepartmentofLaboratoryMedicine RichardTorres,MD,MS DepartmentofLaboratoryMedicine
  2. 2. SLIDE‹#› Overview •HealthcareDataandDataSources •Yale/YNHHDataSciencePlatform •TheDataScienceJourney:ComputationalHealthcareUseCase –Question –Data –Architecture –Implementation •OtherUseCasesinHealthcare
  3. 3. SLIDE‹#› Healthcare(Big?)Data
  4. 4. SLIDE‹#› Healthcare(Big?)Data
  5. 5. SLIDE‹#› TheDreamforBigDatainHealthcare
  6. 6. SLIDE‹#› TheDataSciencePlatform K er b er iz e d
  7. 7. SLIDE‹#› DataScienceJourney
  8. 8. SLIDE‹#› CreatingDataScienceQuestions •Definethequestion/hypothesis •Assessthedatasource,cleanasnecessary •Iterativelytesttheexperimentandimplementation DescriptiveDiagnosticPredictivePrescriptive
  9. 9. SLIDE‹#› ClinicalLaboratoryUseCase •AdvancedAnalyticsforLaboratoryDiagnostics(Yale-NewHaven) –~10millionlaboratorytests –~46millionresultsperyear –Significantnumberrequirephysicianinterpretation –Labbasedexample •Analogoustoanatomic(tissue)pathology •Applicablebeyond
  10. 10. SLIDE‹#› GeneralProblemDefinition •Canweusebigdataandmachinelearningtoimproveourdiagnosticreproducibilityandthroughput forlaboratorytesting? •Hypothesis:TheuseofaMLalgorithmandreal-timedataprocessingpipelinewillimproveour turnaroundtimeandinterpretivereproducibility.Quantitativeresultswillimprovediagnostic accuracy.

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