Learn how predictive analytics for healthcare can enable your organization to make proactive decisions that can have a profound impact for both patients and care providers. We discuss current and emerging healthcare trends and the positive impact that predictive analytics can have on your organization by: Optimizing Resource Utilization: Better allocate nurses, clinicians, diagnostic machinery and other resources by predicting future admission volumes Enhancing Patient Care: Proactively treat patients by more accurately predicting the chance of a chronic condition or the response to medications and therapies Improving Clinical Outcomes: Analyze treatment success rates to improve treatment plans, minimizing complications and readmissions Increasing Income and Revenue: Prevent fraudulent behavior and identify opportunities to collect missing income

1. Predictive Analytics for Healthcare
featuring
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2. Our Speakers
Martin Sizemore, Healthcare Principal, Perficient
Martin is a healthcare strategist, senior consultant and a trusted advisor to CEOs, COOs,
CIOs and senior managers for healthcare organizations including both payers and
providers. He is a specialist in clinical data warehousing, clinical data models and
healthcare business intelligence for improving operational efficiencies and clinical
outcomes.
Rick Durham, Client Technical Professional, IBM
Rick is an analytics professional with over 20 years of experience in all phases of predictive
analytics technology, business intelligence, data warehousing and electrical engineering.
He has strong skills in data mining, statistics, reliability engineering and relational
databases with a focus on dimensional modeling, OLAP and predictive analytics.
Tony Firmani, Director of Advanced Analytics, Perficient
Tony is an experienced business analytics consultant and Perficient’s IBM SPSS practice
leader, with over 17 years developing and implementing solutions across a variety of
industries, including healthcare, insurance and pharmaceuticals. His expertise spans
customer intelligence, customer analytics, marketing automation, campaign management,
fraud prevention & detection, social network analysis and risk management.

3. Agenda
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•
•
•
•
•
Introductions
Predictive Analytics Overview
Predictive Preventable Re-admissions
Demonstration of Real-time Healthcare Models
Wrap-up and Next Steps
Q&A

4. About Perficient
Perficient is a leading information technology consulting firm serving clients throughout
North America.
We help clients implement business-driven technology solutions that integrate business
processes, improve worker productivity, increase customer loyalty and create a more agile
enterprise to better respond to new business opportunities.
4

5. Perficient Profile
•
Founded in 1997
•
Public, NASDAQ: PRFT
•
2013 revenue ~$375 million
•
Major market locations throughout North America
•
Atlanta, Boston, Charlotte, Chicago, Cincinnati, Cleveland,
Columbus, Dallas, Denver, Detroit, Fairfax, Houston,
Indianapolis, Los Angeles, Minneapolis, New Orleans, New
York City, Northern California, Philadelphia, Southern
California, St. Louis, Toronto and Washington, D.C.
•
Global delivery centers in China, Europe and India
•
>2,100 colleagues
•
Dedicated solution practices
•
~90% repeat business rate
•
Alliance partnerships with major technology vendors
•
Multiple vendor/industry technology and growth awards

6. Our Solutions Expertise
BUSINESS SOLUTIONS
TECHNOLOGY SOLUTIONS
Business Intelligence
Business Process Management
Customer Experience and CRM
Enterprise Performance Management
Enterprise Resource Planning
Experience Design (XD)
Management Consulting
Business Integration/SOA
Cloud Services
Commerce
Content Management
Custom Application Development
Education
Information Management
Mobile Platforms
Platform Integration
Portal & Social
6

7. Perficient Healthcare – Did You Know?
$400,000,000 annual revenue – run rate
$97,000,000 healthcare revenue
~480 company-wide clients
~162 healthcare clients
~300 healthcare associates
#12

8. Perficient and IBM
•
An IBM “Premier” Business Partner – highest level
•
13+ year relationship with IBM along with distinguished awards every year
including the “Integration Excellence” award at IBM’s 2012 annual Information
Management Conference
•
Major Partner in developing the HCPDW with IBM and Premier dating back to
early 2010
•
Data Model Implementations at other HealthCare Customers:
–
Premier – HL7, Various EMR’s
–
THR – Epic
–
CHS – Cerner
–
Christiana – Cerner
–
TriHealth – Meditech/Epic
–
CHP – Epic
–
HHC – Epic
–
UNCH - Epic
“Perficient's track record in delivering
scalable, integrated and reliable
solutions makes them one of IBM's
most reliable partners.”
-- Paraic Sweeney, IBM
•
Significant skills in the IBM surrounding technology prior to IBM’s acquisition of
Cognos and Ascential
•
Creating implementation acceleration for the IBM data model for both data
integration and analytical applications
•
Significant Healthcare Provider expertise including data experts and clinicians

9. Can You Confidently Answer These Questions?
How can I identify areas where
change in process will make the
biggest impact?
How can I empower consumers
to better manage their health
and wellness?
How can I proactively manage
financial risk and remain
competitive in an uncertain
market?
9
How can I reduce readmissions
by detecting vulnerabilities and
risks among patients?

10. What is Predictive Analytics?
Predictive Analytics helps connect data
to effective action by drawing reliable
conclusions about current conditions
and future events
- Gareth Herschel, Research Director, Gartner Group

11. Data-Driven Organizations Analyze a Wide Range of
Data…
Current events,
Drug and device
disease outbreaks
shortages
Patient Intake
Supply Chain
Unstructured
image data
At home monitors, Rx
refills, life situation
Lab/Imaging
INSIGHTS
Doctor’s notes,
dictation, email
Various EMR &
Specialty Systems
Care
Management,
Discharge
Payment
history, notes
Observational
data
Clinical
Research
Health Plan, Claims,
Payments

12. Prescriptive
Advanced, Predictive
Foundational
• What will happen?
• What will be the impact?
• What are potential scenarios?
• What is the best course?
• How can we pre-empt and
mitigate the crisis?
• What happened?
• When and where?
• How much?
Transaction
reporting
• Basic reporting
• Spreadsheets
Data integration
Data warehouse
• Dashboards
• Clinical data repositories
• Departmental data marts
Decision support
analytics
Predictive
analytics
• Enterprise analytics
• Personalized healthcare
• Evidence-based medicine • Consumer engagement
• Outcomes analytics
• Patient/population behavior

13. Prescriptive
Advanced, Predictive
Foundational
•
•
•
• Standard Patient
and EMR Reporting
Transaction
reporting
• Basic reporting
• Spreadsheets
•
Predictive Length of
Stay Models
Predictive
Complications Models
Predictive
Readmission Models
Data integration
Data warehouse
• Dashboards
• Clinical data repositories
• Departmental data marts
•
•
Decision support
analytics
Predictive Intervention
models
Chronic Condition
Management
Population Health
Management
Predictive
analytics
• Enterprise analytics
• Personalized healthcare
• Evidence-based medicine • Consumer engagement
• Outcomes analytics
• Patient/population behavior

14. Predictive Insights
• 1st Overall goal - Reduce 30 day hospital readmissions costs:
• Predicting:
– Patients most likely to be readmitted
– The best course of action for a patient likely to be readmitted
at the point of discharge (Intervention)
• 2nd Overall goal – Understand the overall cost and duration of a
patient stay at the hospital and complications:
• Predicting:
– Patient Length-of-Stay (LOS)
– Patient costs
– If Patient is likely to have post operative complications

15. Demonstration
of
Real-time Healthcare
Models

16. Next Steps
• Contact Perficient to get more information
on using Predictive Analytics with SPSS
• Consider using the IBM Healthcare Data
Model to integrate clinical, financial and
operational data for advanced analytics
• Ask how Cognos can provide an advanced
analytics workbench for your power users

17. Questions?

18. Thank You For Your Time
and Attention Today!
For more information, visit:
www.perficient.com
www.facebook.com/perficient
www.twitter.com/perficient

19. Appendix