what is big data why it is important for healthcare providers now

1© 2012 Oracle Corporation – Proprietary and Confidential

Big Data Challenge – From EMR’s to Translational Research

Miroslav Končar, PhDOracle Healthcare Business Development DirectorHL7 Croatia Chair, Associate Professor for Biomedical Informatics


What is Big Data

Why it is important for Healthcare Providers Now


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


• 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


Why Oracle for Big Data


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


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.

© 2012 Oracle Corporation – Proprietary and Confidential 8

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


Customer Success Story

Erasmus MC, The Netherlands


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


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)


• 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


Why Oracle Exadata

Data storage is 10x smaller, Scanning process is 2000x faster


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


[email protected]

what is big data why it is important for healthcare providers now

Documents