Published on February 17, 2014
Predictive Analytics for Healthcare featuring facebook.com/perficient linkedin.com/company/perficient twitter.com/Perficient
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
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
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
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
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
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
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?
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
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
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
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
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
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
Thank You For Your Time and Attention Today! For more information, visit: www.perficient.com www.facebook.com/perficient www.twitter.com/perficient
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