SlideShare a Scribd company logo
2
Source: Gartner
3
$2.76 Trillion
(18%)
of U.S. GDP consumed by
health care spending
1 Billion
health-related apps will be
downloaded by the year 2016
$.5 Trillion
in avoidable costs with
medication adherence
Care Delivery Evolution Focus on the Individual Business Model Convergence
Buyers expect greater value,
improved quality and better
outcomes – at a more
affordable cost
Volumes of data create an
opportunity for deeper insight,
earlier intervention and
engagement
Demand to connect health
care and social services is
driving formation of new
partnerships
4
Enterprise Analytics and Big Data
Have Moved to Center Stage
BIG DATA ANALYTICS
Mobilizing and leveraging
an ecosystem of large
volumes of diverse data
(structured and
unstructured, internal and
external to the enterprise)
to extract hidden,
differentiated value.
The extensive use of data,
statistical and quantitative
analysis, explanatory and
predictive models and fact-
based management to
drive decisions & actions.
5
Big Data Categories
6
Web & Social
Media Data
Machine-to-
Machine Data
Big Transaction
Data
Biometric
Data
Human-
Generated Data
7
8
9
Benefits to Healthcare
10
Health Care Quality
& Efficiency
Earlier Disease
Detection
Fraud Detection
Individual Patient
Care
Population Health
Management
Reducing Variation
of Care
Future Applications
11
Challenges
12
Industry Readiness
Data
Usability/Trustwort
hiness
Data
Fragmentation
Architectural &
Infrastructure
Issues
Health Information
Ownership & Use
Information
Security
PII, Clinical Data, Financial Data,
Behavioral Data
Strategies
• Implement a data governance framework
• Engage providers
• Foster competition and transparency
• Bake analytics into training
• Provide for flexibility in information transference
• When possible, choose in-house solutions over
vendor-generated solutions
• Create simple, understandable tools such as
dashboards for clinicians on the front lines to
visualize incoming data.
• Don’t scale up, scale out
• Close the quality loop
13
14
Contact: Leo Barella – leo.barella@excellus.com
leo.barella@excellus.com
Leo Barella

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Leveraging Big Data for Improving Population Health Management

  • 1.
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  • 4. $2.76 Trillion (18%) of U.S. GDP consumed by health care spending 1 Billion health-related apps will be downloaded by the year 2016 $.5 Trillion in avoidable costs with medication adherence Care Delivery Evolution Focus on the Individual Business Model Convergence Buyers expect greater value, improved quality and better outcomes – at a more affordable cost Volumes of data create an opportunity for deeper insight, earlier intervention and engagement Demand to connect health care and social services is driving formation of new partnerships 4
  • 5. Enterprise Analytics and Big Data Have Moved to Center Stage BIG DATA ANALYTICS Mobilizing and leveraging an ecosystem of large volumes of diverse data (structured and unstructured, internal and external to the enterprise) to extract hidden, differentiated value. The extensive use of data, statistical and quantitative analysis, explanatory and predictive models and fact- based management to drive decisions & actions. 5
  • 6. Big Data Categories 6 Web & Social Media Data Machine-to- Machine Data Big Transaction Data Biometric Data Human- Generated Data
  • 7. 7
  • 8. 8
  • 9. 9
  • 10. Benefits to Healthcare 10 Health Care Quality & Efficiency Earlier Disease Detection Fraud Detection
  • 11. Individual Patient Care Population Health Management Reducing Variation of Care Future Applications 11
  • 12. Challenges 12 Industry Readiness Data Usability/Trustwort hiness Data Fragmentation Architectural & Infrastructure Issues Health Information Ownership & Use Information Security PII, Clinical Data, Financial Data, Behavioral Data
  • 13. Strategies • Implement a data governance framework • Engage providers • Foster competition and transparency • Bake analytics into training • Provide for flexibility in information transference • When possible, choose in-house solutions over vendor-generated solutions • Create simple, understandable tools such as dashboards for clinicians on the front lines to visualize incoming data. • Don’t scale up, scale out • Close the quality loop 13
  • 14. 14 Contact: Leo Barella – leo.barella@excellus.com leo.barella@excellus.com Leo Barella