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Big Data Challenge – From EMR’s to Translational Research
Miroslav Končar, PhDOracle Healthcare Business Development DirectorHL7 Croatia Chair, Associate Professor for Biomedical Informatics
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What is Big Data
Why it is important for Healthcare Providers Now
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MIT Big Data DefinitionWhat kind of big are we talking about here?
•U.S. Healthcare data is growing by 15 Petabytes a day – currently
•Up to 80% of healthcare data is currently unstructured.
5 million bytes (megabytes) Complete printed works of Shakespeare
20 billion bytes (gigabytes) Complete recorded works of Beethoven
10 trillion bytes (terabytes) Printed works in the Library of Congress
2 quadrillion bytes (petabytes) Google Earth information managed today
Typical person’s EHR~1MB healthy young, no images40MB middle-aged w/health issues, no images3-5GB with several health issues w/images
600 petabytes-10 exabytes (exabyte = billion gigabytes)
Estimated size of current US digitized patient data
1.5 million Estimated different medical devices (WHO)
Big Data: The management and use of ultra-large amounts of information
Management and use = efficient storage, search, analysis, visualizationUltra-large = >1Petabyte
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• Chronic Disease Mgt.• Care Patterns• Population Health• Pay for Performance• Telemedicine• Patient Advocacy
• Customer Satisfaction• Disease Mgt. / Prevention• Social Media Interactions• Care / Process
Improvements• Marketing / Branding
Where Are Your Big Data Opportunities?Lower care cost and raise care quality
• Capacity Management• Staffing Optimization• Protocol Optimization• Process Efficiency• Supply Standardization• Cost Accounting
• Personal Preferences• Individualized Treatment • Biometrics• Data Management• Apply Research• New Clinical Protocols
Accountable Care Patient Engagement Personal & TranslationalMedicine
Operational Excellence
1 2 3 4
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Why Oracle for Big Data
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Big Data: Oracle’s DefinitionLarge volumes, high change velocity, complex variety, unknown value per byte
• Emerging sources of data, ie. sensor, machine generated, social, images, unstructured, etc., that exhibit any or all of “the four V’s”, potentially integrated with “traditional” structured data
• Healthcare providers can acquire, organize, process, analyze massive amounts of data, primarily through the use of scale-out on low-cost hardware, non-relational data models, APIs
TheFour
Vs
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Oracle’s Leadership Across the Entire Healthcare Ecosystem Provides Us Unique Design Insights
R&D
ProductivityTranslational
MedicineQuality& Safety
PersonalizedCare
Participatory& Preventive Care
DiscoveryResearch
DiagnosticsPharma/BiotechMedical Devices
ClinicalResearch
Care Delivery
Care Management
Population/Global Health
“Value-based” healthcare
Outcomes
Collaborating across the life sciences and healthcare industries improves care, lowers costs and delivers greater value
Leading provider in:
BioPharma Clinical Trials Translational Research Healthcare Insurers CMS HIE & Insurance Exchanges Population Health Mgt. Healthcare Data Models Healthcare Analytics Interoperability Identity & Security Mgt.
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Our Translational Research Center (TRC) Can Be Added For Those Involved in The Research Domain
Strategic Development
Partners ?
Discovery Diagnosis Therapy Wellness
TRC accelerates discovery
Analytics extend into care delivery & daily life
Strategic Development
Partners
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Customer Success Story
Erasmus MC, The Netherlands
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Erasmus MC
• Erasmus Overview– The biggest Dutch University Medical
Centre located in the City of Rotterdam– A 1.200-bed, 1.4BUS$ operational
budget, 12.000 employees– Erasmus MC is one of the top 40 best
research institutes of the world
• Long years an Oracle customer– Full ERP (financials, procurement, HR,
learning management), Performance Management
– Technology – Database, Fusion Middleware
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Translational Research in Erasmus
• Today - Clinical genetic testing is typically done for patients who are considered at risk of carrying genetic variations that are linked to a particular disease or disease predisposition.
• Next step - all variants in coding and non-coding DNA is mapped at once.
• The vast amount of knowledge that is offered by whole-genome sequencing can provide the scientics with new oppprtunities for disease management
• Barrier – how to manage vast amounts of data in real time, and manage all risks associated (security, perfromance, etc)
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• Genome sequencing is time and resources demanding process– Complete human variants per sample generate 1.5TB of data
• Need to provide overview of all variants in genetically defined populations– Variations are displayed in the context of public knowledge
– Statistical quality measure for variants
– Disease association and functional impact
• Provide easy access to translational research scientists– Simple search web page to access variation data
– Summary reports for disease association
– Cytogenetic visual representation of variations
HuVariome Database – Business Problem
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Why Oracle Exadata
Data storage is 10x smaller, Scanning process is 2000x faster
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Conclusion
• Complete genomics offer new opportunities for disease management– Identifying novel DNA variants relevant for
Dx and therapy
– Companion diagnostics for targeted therapy
• Key areas of research – cancer conditions
• Visit Erasmus and HuVariome project at– http://www.erasmusmc.nl/
– http://www.youtube.com/watch?v=KVvVs2SVfHU
