Transcript Cloud Computing Workshop

Big Data = Big Opportunities
Chris Gough, Intel
Lead Healthcare Solutions Architect
We are at an Inflection Point in
Healthcare - Trends
% of population over age 60
30+ %
25-29%
20-24%
10-19%
0-9%
2050
WW Average Age 60+: 21%
Source: United Nations “Population Aging 2002”
Healthcare costs are
RISING
Significant % of GDP
Global AGING
Average Age 60+:
growing from 10% to
21% by 2050
Source: McKinsey Global Institute Analysis
ESG Research Report 2011 – North American Health Care Provider Market Size and Forecast
US Healthcare BIG DATA
Value
$300 Billion in value/year
~ 0.7% annual productivity
growth
We are at an Inflection Point in
Healthcare - TRENDS
Storage Growth
Total Data Healthcare Providers (PB)
15000
Admin
Medical Imaging Archive Projection
Case from just 1 healthcare system
Imaging
10000
EMR
Email
5000
File
Non Clin Img
0
2010 2011 2012 2013 2014 2015
Research
Data Explosion projected to reach 35 Zetabytes by 2020, with
a 44-fold increase from 20095
Source: McKinsey Global Institute Analysis
ESG Research Report 2011 – North American Health Care Provider Market Size and Forecast
The Four V’s of Big Data
• Volume:
2.9 XB  13.5 XB in 4 Years
35.3 % CAGR*
• Variety:
Structured (e.g. relational
databases) and unstructured data (e.g. freeform text, dictations, images)
• Velocity:
Near real-time, streaming data
analysis vs. periodic / batch analysis
• Value:
Act quickly upon myriad datatypes to provide business value (e.g. clinical
decision support)
Big Data is About Both Infrastructure
& Analytics
*ESG Research Report 2011 – North American Healthcare Provider Market Size and Forecast
Healthcare Data Silos
Life Sciences
Data:
•
•
Clinical Data:
•
•
Clinical Trials
High Throughput
Screening (HTS)
Libraries
EMR
Medical Images
Claims Data:
Patient Sentiment:
•
•
•
•
Utilization of Care
Cost Estimates
McKinsey Global Institute Analysis
Patient Behavior
Social Networking
Healthcare Big Data Use Cases
Life Sciences
Data
Claims
Data
Integration of
data required
for major
opportunities
Patient
Sentiment
Healthcare Examples:
Clinical
Data
• Provider: Clinical Decision
Support
• Payor: Intelligent Service
Provider Matching
• Life Sciences: Personalized
Medicine
Big Data Solutions for Healthcare
Health Info
Services
Primary Care
New Healthcare Clinical Decision
Applications
Support
Personal Health
Management
Aging Society
Personalized
Medicine
Cancer Genomics
Analytics and
Visualization
SQL-like Query
Machine Learning
Medical Imaging
Analytics
Data
Processing/
Management
Medical Records
Genome Data
Medical Images
Storage
Optimization
Security and
Privacy
Imaging
Acceleration
Distributed
Platform
Right Data Methods for Right Structure
Unstructured
Multi-format Data
Structured
Data
Emerging
Technologies
Analytical Paradigms
Relational
Database
EXALYTICS
•
*Other brands and names are the property of their respective owners.
Enterprise Big Data Architecture
STRUCTURED
DATA PLATFORMS
Legacy
ENTERPRIS
E TOOLS
ODS & Data
Marts
Data Mining
Dev IDE
Logs
UNSTRUCTURED
Social & Web
Legacy
Document
Types
Transcriptions
&
Notes
Enterprise Data
Warehouse
Visualize
Spreadsheets
Enterprise Big Data Architecture
STRUCTURED
DATA PLATFORMS
Legacy
Node
ODS & Data
Marts
Node
Data Mining
Hadoop
CONSUME
UNSTRUCTURED
Create Map
Logs
Social & Web
Node
REDUCE
ENTERPRIS
E TOOLS
Dev IDE
IMPORT
Enterprise Data
Warehouse
Visualize
No-SQL
Spreadsheets
INSIGHTS
Legacy
Document
Types
Transcriptions
&
Notes
In Memory DB
APPS
SQL
RDBMS
Web
Apps
MashUps
Technology Driving Big Data Innovation
Intel Role in Big Data Era
Distribute
Analytics
Balanced
Infrastructure
Software
Innovation
Partner
Collaboration
R&D
•Distribute analytics to the edge sensors/devices
•Drive a standards-based, connected, managed, and secure
architecture
•Accelerate Big Data & Analytics
•Faster & more effective CPU, Storage, I/O, and network
architectures
•Drive innovation in big data applications by providing
optimized software stacks and services
•Foster the growth of big data through partner collaboration
•Focus on usage model examples and reference deployment
architectures
•Invest in solution research and academia collaboration
Big Data Technologies:
The Power of the Platforms
Regional Health Information Network
RHIN – 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
Analytics
• Case Study: Intel – Aspera Labs
• Big Data Planning Guide
•
•
•
•
•
•
Managing a national network of radiology and
related health services providers
CDIradiology.com | InsightHealth.com
Who We Are
CDI is a collection of partnerships
including Center for Diagnostic
Imaging (CDI), Insight Imaging and
affiliated providers.
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)
CDIradiology.com | InsightHealth.com
As the management company, our
partners share CDI’s vision and
values; aligning our business goals
and our commitment to patient care.
Vision
We 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.
Values
Accountability
Compassion
Drive
Excellence
Integrity
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A Collection of Partnerships
Our Business
Hospital &
Provider-Based
Radiologist &
Physician
Practice
Mobile
Services
(Interim and
Long-Term)
Management
Services &
Wholesale
Consulting
Projects
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 longterm solutions for imaging needs so patient care is always accessible.
CDIradiology.com | InsightHealth.com
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Where We Are | Fixed Centers and a Mobile Imaging Network
One of the Nation’s Largest Radiology and Related Health Services Providers
Our Locations
CDI’s Network of Outpatient Imaging Centers
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
CDIradiology.com | InsightHealth.com
Partnering to Bring Mobile Imaging Services to
Communities Across the US (Blue States)
Insight Imaging, the mobile division in
CDI’s network, operates in 30 states
providing MRI, PET/CT and CT services
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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
CDIradiology.com | InsightHealth.com
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Panel Discussion
Question 1:
What do you see as the major challenges of Big Data
within the healthcare realm?
CDIradiology.com | InsightHealth.com
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Panel Discussion
Question 2:
What do you think are the clinical applications of
Big Data?
CDIradiology.com | InsightHealth.com
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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?
CDIradiology.com | InsightHealth.com
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Panel Discussion
Question 4:
What are the tools best used to leverage big data?
CDIradiology.com | InsightHealth.com
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Panel Discussion
Question 5:
How does big data play a role in population
management and patient engagement?
CDIradiology.com | InsightHealth.com
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Q&A
Questions?
CDIradiology.com | InsightHealth.com
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