Health Datapalooza 2013: Illuminating Disease at the Speed of Light - Amy Abernethy health

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Health Datapalooza IV: June 3rd-4th, 2013
Illuminating Disease at the Speed of Light: How Big Data Is Accelerating Biomedical Research
Convener:
Marcia A. Kean, Chairman, Strategic Initiatives, Feinstein Kean Healthcare
Moderator:
Kevin Davies, Author, “The $1,000 Genome”; Founding Editor, Nature Genetics and Bio-IT World magazine; and Vice President Business Development, American Chemical Society
Speakers:
Amy P. Abernethy, Director, Center for Learning Healthcare (CLHC), Duke Clinical Research Institute
Michael Cantor, Senior Director, Information Strategy and Analytics, World Research Development, Pfizer
Dave King, Founder, Exaptive
Robert McBurney, Chief Executive Officer, Accelerated Cure Project for Multiple Sclerosis
Dietrich Stephan, Founder and Chief Executive Officer, Silicon Valley Biosystems (SV Bio)

Until recently, biomedical research was conducted in small silos, separated by huge cultural and technical walls and inability to exchange data facilely. But the field is now exploding: massive amounts of complex, multi-dimensional clinical, imaging, and genomic data are being collected, aggregated, integrated, analyzed, and shared. The pioneers driving this digital transformation are working in novel collaborations among patients, providers, and scientists. In this session, speakers will showcase multimodal, computational, and analytic tools for biomarker discovery, patient stratification, and intelligent clinical decision solutions; high-speed genome profiling, with algorithms of individual and population profiles, for real-time molecular-based diagnoses of ‘mystery’ diseases; a point-of-care quality monitoring program used by clinicians, in which data are used for important research questions and then transitioned into clinical trials; and collection and aggregation of data and samples from patients with a neurological disease, enabling queries into markers of disease origins and discovery of new therapies.

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  • When fully linked together, this becomes the substrate for the Duke rapid learning clinics.
  • Health Datapalooza 2013: Illuminating Disease at the Speed of Light - Amy Abernethy health

    1. 1. The Innovation BridgeData liquidityReal-time data useData reuseStandardsCulture & IncentivesLearning
    2. 2. “Research quality clinical data”IndividualpatientResearch reportsClinical operations21% with pain >4/10 on>2 visits
    3. 3. mHealth approach to quality patientdata collectionSoftware/Hardware InstrumentProcess Reporting/Analytics
    4. 4. “Research quality clinical data”Research Item(s) - PainResearch Item(s) – SleepClinical Review ofSystems…FatigueBleedingRinging in the earsPainSleepShortness of breathConstipationetcResearch Item(s) - Fatigue
    5. 5. Clinical Review ofSystems…FatigueBleedingRinging in the earsPainSleepShortness of breathConstipationetcIntegration of items from variedsourcesResearch Items – Pain &SleepResearch Item(s) - Fatigue
    6. 6. Clinical Review ofSystems…FatigueBleedingRinging in the earsPainSleepShortness of breathConstipationetcDrill down when neededResearch Items – Pain &SleepResearch Item(s) - FatigueThreshold trigger toadditional instrumentabout pain (e.g. BPI)
    7. 7. PatientreporteddataLinked to other datasetsClinical andadministrativedataClinical trialsand researchrelated dataMolecular andbiological data
    8. 8. Logrank p<.0001No ChemoTKI/TKIOtherTKI/mTOR/TKITKI/TKI/mTORTKI/mTORmTOR/TKImTOR0.00 10 20 30 40 500.20.40.60.81.0TKIOverall SurvivalSurvivalProbability
    9. 9. The Innovation BridgeData liquidityReal-time data useData reuseStandardsCulture & IncentivesLearning

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