Big Data = Big Opportunities Chris Gough, Intel Lead Healthcare Solutions Architect.
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Transcript of Big Data = Big Opportunities Chris Gough, Intel Lead Healthcare Solutions Architect.
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
• [email protected]• 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
17
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?
23
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?
24
CDIradiology.com | InsightHealth.com
Panel Discussion
Question 4:
What are the tools best used to leverage big data?
25
CDIradiology.com | InsightHealth.com
Panel Discussion
Question 5:
How does big data play a role in population management and patient engagement?
26
CDIradiology.com | InsightHealth.com
Q & A
Questions?
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