Predictive Analytics for Healthcare

featuring

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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.

Agenda

• Introductions

• Predictive Analytics Overview

• Predictive Preventable Re-admissions

• Demonstration of Real-time Healthcare Models

• Wrap-up and Next Steps

• Q&A

4

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.

About Perficient

• 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

Perficient Profile

6

BUSINESS SOLUTIONS

Business Intelligence

Business Process Management

Customer Experience and CRM

Enterprise Performance Management

Enterprise Resource Planning

Experience Design (XD)

Management Consulting

TECHNOLOGY SOLUTIONS

Business Integration/SOA

Cloud Services

Commerce

Content Management

Custom Application Development

Education

Information Management

Mobile Platforms

Platform Integration

Portal & Social

Our Solutions Expertise

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

• 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

• 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

Perficient and IBM

“Perficient's track record in delivering

scalable, integrated and reliable

solutions makes them one of IBM's

most reliable partners.”

-- Paraic Sweeney, IBM

Can You Confidently Answer These Questions?

9

How can I empower consumers to better manage their health and wellness?

How can I identify areas where change in process will make the biggest impact?

How can I proactively manage financial risk and remain competitive in an uncertain market? How can I reduce readmissions

by detecting vulnerabilities and

risks among patients?

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

INSIGHTS

Data-Driven Organizations Analyze a Wide Range of

Data…

Doctor’s notes, dictation, email

Payment history, notes

At home monitors, Rx refills, life situation

Observational data

Current events, disease outbreaks

Unstructured image data

Patient Intake

Lab/Imaging

Health Plan, Claims, Payments

Care Management, Discharge

Various EMR & Specialty Systems

Supply Chain

Clinical Research

Drug and device shortages

Foundational

• What happened?

• When and where?

• How much?

Advanced, Predictive

• What will happen?

• What will be the impact?

• Dashboards

• Clinical data repositories

• Departmental data marts

Data integration

Data warehouse

• Basic reporting

• Spreadsheets

Transaction

reporting

• Enterprise analytics

• Evidence-based medicine

• Outcomes analytics

Decision support

analytics

• Personalized healthcare

• Consumer engagement

• Patient/population behavior

Predictive

analytics

Prescriptive

• What are potential scenarios?

• What is the best course?

• How can we pre-empt and

mitigate the crisis?

Foundational

• Standard Patient

and EMR Reporting

Advanced, Predictive

• Predictive Length of

Stay Models

• Predictive

Complications Models

• Predictive

Readmission Models

• Dashboards

• Clinical data repositories

• Departmental data marts

Data integration

Data warehouse

• Basic reporting

• Spreadsheets

Transaction

reporting

• Enterprise analytics

• Evidence-based medicine

• Outcomes analytics

Decision support

analytics

• Personalized healthcare

• Consumer engagement

• Patient/population behavior

Predictive

analytics

Prescriptive

• Predictive Intervention

models

• Chronic Condition

Management

• Population Health

Management

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

Demonstration

of

Real-time Healthcare

Models

• 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

Next Steps

Questions?

Thank You For Your Time

and Attention Today!

For more information, visit:

www.facebook.com/perficient

www.perficient.com

www.twitter.com/perficient

Appendix