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What is Big Data Why it is important for Healthcare Providers Now

Big Data Challenge – From EMR’s to Translational Research Miroslav Končar, PhD Oracle Healthcare Business Development Director HL7 Croatia Chair, Associate Professor for Biomedical Informatics. What is Big Data Why it is important for Healthcare Providers Now.

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What is Big Data Why it is important for Healthcare Providers Now

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  1. Big Data Challenge – From EMR’s to Translational ResearchMiroslav Končar, PhDOracle Healthcare Business Development DirectorHL7 Croatia Chair, Associate Professor for Biomedical Informatics

  2. What is Big Data Why it is important for Healthcare Providers Now

  3. 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. • Big Data: The management and use of ultra-large amounts of information • Management and use = efficient storage, search, analysis, visualization • Ultra-large = >1Petabyte

  4. 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 • 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 3 4 2 1 Personal & Translational Medicine Operational Excellence Patient Engagement Accountable Care

  5. Why Oracle for Big Data

  6. 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 The Four Vs

  7. Oracle’s Leadership Across the Entire Healthcare Ecosystem Provides Us Unique Design Insights • 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.

  8. Our Translational Research Center (TRC) Can Be Added For Those Involved in The Research Domain

  9. Customer Success Story Erasmus MC, The Netherlands

  10. 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

  11. Translational Research in Erasmus • Today - Clinical genetic testing is typicallydone for patients who are considered at risk of carryinggenetic variations that are linked to a particular diseaseor disease predisposition. • Next step - all variants incoding and non-coding DNA is mapped at once. • The vastamount 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)

  12. HuVariome Database – Business Problem • 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

  13. Why Oracle Exadata Data storage is 10x smaller, Scanning process is 2000x faster

  14. 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

  15. miroslav.koncar@oracle.com

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