Big Data = Big Opportunities

Chris Gough, Intel Lead Healthcare Solutions Architect

We are at an Inflection Point in Healthcare - Trends

Source: McKinsey Global Institute AnalysisESG Research Report 2011 – North American Health Care Provider Market Size and Forecast

Healthcare costs are RISING

Significant % of GDP

Source: United Nations “Population Aging 2002”

25-29%

30+ %

20-24%

10-19%

0-9%

% of population over age 60

2050WW Average Age 60+: 21%

Global AGINGAverage Age 60+:

growing from 10% to 21% by 2050

US Healthcare BIG DATA Value

$300 Billion in value/year~ 0.7% annual productivity

growth

We are at an Inflection Point in Healthcare - TRENDS

Source: McKinsey Global Institute AnalysisESG Research Report 2011 – North American Health Care Provider Market Size and Forecast

Storage Growth

2010 2011 2012 2013 2014 20150

2000400060008000

10000120001400016000

Total Data Healthcare Providers (PB)

AdminImagingEMREmailFileNon Clin ImgResearch

Medical Imaging Archive ProjectionCase from just 1 healthcare system

Data Explosion projected to reach 35 Zetabytes by 2020, with a 44-fold increase from 20095

• Volume: 2.9 XB 13.5 XB in 4 Years 35.3 % CAGR*

• Variety: Structured (e.g. relational databases) and unstructured data (e.g. free-form text, dictations, images)

• Velocity: Near real-time, streaming data analysis vs. periodic / batch analysis

• Value: Act quickly upon myriad data-types to provide business value (e.g. clinical decision support)

The Four V’s of Big Data

Big Data is About Both Infrastructure & Analytics

*ESG Research Report 2011 – North American Healthcare Provider Market Size and Forecast

Healthcare Data Silos

Clinical Data:• EMR• Medical Images

Patient Sentiment:• Patient Behavior• Social Networking

Claims Data:• Utilization of Care• Cost Estimates

McKinsey Global Institute Analysis

Life Sciences Data:• Clinical Trials• High Throughput

Screening (HTS) Libraries

Healthcare Big Data Use Cases

Life Sciences Data

Clinical Data

Patient Sentiment

Claims Data

Healthcare Examples:• Provider: Clinical

Decision Support• Payor: Intelligent Service

Provider Matching• Life Sciences:

Personalized Medicine

Integration of data required

for major opportunities

Big Data Solutions for Healthcare

Distributed Platform

Storage Optimization

Security and Privacy

Imaging Acceleration

New Healthcare Applications

Personalized Medicine

Clinical Decision Support

Cancer Genomics

Health Info Services

Primary CarePersonal Health

Management Aging Society

Analytics and Visualization

SQL-like Query Medical Imaging Analytics

Machine Learning

Data Processing/ Management Medical ImagesMedical Records Genome Data

Right Data Methods for Right Structure

• *Other brands and names are the property of their respective owners.

Structured Data

Unstructured Multi-format Data

EmergingTechnologies

RelationalDatabase

EXALYTICS

Analytical Paradigms

Enterprise Big Data Architecture

Enterprise Data

Warehouse

Spreadsheets

Visualize

Data Mining

Dev IDE

ODS & Data Marts

ENTERPRISE TOOLS

Legacy Document

Types

Logs

Social & Web

Legacy

STRUCTURED

UNSTRUCTURED

Transcriptions &

Notes

DATA PLATFORMS

Enterprise Big Data Architecture

Enterprise Data

Warehouse

Spreadsheets

Visualize

Data Mining

Dev IDE

ODS & Data Marts

ENTERPRISE TOOLS

Legacy Document

Types

Logs

Social & Web

Legacy

STRUCTURED

UNSTRUCTURED

Transcriptions &

Notes

DATA PLATFORMS

RDBMS

No-SQL

In Memory DB

SQL

APPS

Node Node Node

Hadoop

Web AppsMashUps

IMPORT

INSIGHTS

CONSUME

Cre

ate

Map

REDUCE

Technology Driving Big Data Innovation

Intel Role in Big Data Era• Distribute analytics to the edge sensors/devices• Drive a standards-based, connected, managed, and secure architecture

Distribute Analytics

• Accelerate Big Data & Analytics• Faster & more effective CPU, Storage, I/O, and network architectures

Balanced Infrastructure

• Drive innovation in big data applications by providing optimized software stacks and services

Software Innovation

• Foster the growth of big data through partner collaboration• Focus on usage model examples and reference deployment architectures

Partner Collaboration

• Invest in solution research and academia collaborationR & D

Big Data Technologies:The Power of the Platforms

Regional Health Information NetworkRHIN – China (Jinzhou)

• Challenge: RHIN has challenges with scalability, performance and maintenance. Data storage is expensive

• Solution: EMR data and healthcare services running on:

– Intel Hadoop Distribution– Xeon E5 servers

• Benefits: High performance and scalability demonstrated via POC and stress testing. Significantly reduced storage cost

Data processing flow of RHIN platform

Additional Resources

• chris.s.gough@intel.com• Intel in Healthcare• Intel Big Data• Intel Distribution for Apache Hadoop• Case Study: RHIN China – Big Data• Case Study: Charité – SAP HANA In-Memory Analy

tics• Case Study: Intel – Aspera Labs• Big Data Planning Guide

CDIradiology.com | InsightHealth.com

Managing a national network of radiology and related health services providers

CDIradiology.com | InsightHealth.com

Who We Are

Headquarters Minneapolis, MN with a satellite support office in Lake Forest, CA

Founded 1981

Centers 115

Mobile Units 118

FTEs 1810

States 24 (with fixed sites)

VisionWe will be the recognized leader in providing

high-quality radiology, management and related healthcare services – focused on the needs of our local

communities and in partnership with physicians and hospitals.

ValuesAccountabilityCompassion

DriveExcellence

Integrity

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CDI is a collection of partnerships including Center for Diagnostic Imaging (CDI), Insight Imaging and affiliated providers.

As the management company, our partners share CDI’s vision and values; aligning our business goals and our commitment to patient care.

CDIradiology.com | InsightHealth.com

A Collection of Partnerships

CDI has grown its business through successful partnerships. Currently we have 16 hospital partners ranging from large health systems to rural hospitals. We believe bringing quality radiology and related health care services to every community is better for patient care and overall results. Additionally, our mobile fleet allows our partners to access interim and long-term solutions for imaging needs so patient care is always accessible.

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Hospital & Provider-Based

Radiologist & Physician Practice

Mobile Services

(Interim and Long-Term)

Management Services & Wholesale

Consulting Projects

Our Business

CDIradiology.com | InsightHealth.com

Where We Are | Fixed Centers and a Mobile Imaging NetworkOne of the Nation’s Largest Radiology and Related Health Services Providers

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Our Locations

CDI’s Network of Outpatient Imaging Centers Partnering to Bring Mobile Imaging Services to Communities Across the US (Blue States)

Outpatient center services include: MRI, CT , Ultrasound, X-ray, PET/CT Nuclear Medicine , Mammography, DEXA Diagnostic & Therapeutic Injections, Pain Care Care Coordination Services, Vein & Vascular Services

Insight Imaging, the mobile division in CDI’s network, operates in 30 states providing MRI, PET/CT and CT services

CDIradiology.com | InsightHealth.com

The CDI Difference | As Providers

Clinical excellence• Subspecialized, board certified, peer-reviewed radiologists• Pioneering specialists in image-guided injections and related therapies• Accredited Registered Technologists (RT’s)• Staff and facility accreditations include ACR, AAAHC and Joint Commission

Proven patient satisfaction• Teams focused on patient experience from scheduling through results delivery• Consistent access to high-quality and convenient care at competitive prices• 99% of patients would recommend CDI to family or friends

Advanced technology• Sophisticated equipment and applications; our clinical team optimizes protocols

to ensure diagnostic quality for every exam• Teleradiology network moving thousands of images a day • Proprietary patient information system and advanced portal technologies for

hosting records and sharing results

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CDIradiology.com | InsightHealth.com

Panel Discussion

Question 1:

What do you see as the major challenges of Big Data within the healthcare realm?

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CDIradiology.com | InsightHealth.com

Panel Discussion

Question 2:

What do you think are the clinical applications of Big Data?

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CDIradiology.com | InsightHealth.com

Panel Discussion

Question 3:

Collecting data is one thing: but applying it, and showing the value of data collection requires another strategy. Can you comment?

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Panel Discussion

Question 4:

What are the tools best used to leverage big data?

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Panel Discussion

Question 5:

How does big data play a role in population management and patient engagement?

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CDIradiology.com | InsightHealth.com

Q & A

Questions?

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