• 1:00 pm - 1:05 pm Introductions and logistics - Russell Jackson, Editor, Predictive Modeling News (Moderator)
• 1:05 pm - 1:35 pm Utilizing Predictive Modeling to Meet the Challenges of Healthcare Reform, Brian T. Day, EdD, Director of Advanced Analytics, Highmark, Inc.
• 1:35 pm - 2:00 pm Current Issues in Employer Use of Predictive Modeling, Russell D. Robbins, MD, MBA, Principal & Senior Clinical Consultant, Mercer
• 2:00 pm - 2:30 pm Utilizing Analytics to Create Evidence-based Care Plans, Improve Member Compliance, and Drive Down Costs, Swati Abbott, President, MEDai and William F. Bramble, President, Health Cost & Risk Management, LLC

• Predictive Analytics for Accountable Care Organizations and Provider Payment Reform, by Rong Yi, PhD, Senior Consultant, Milliman Inc.
• Point-of-care Applications for Predictive Modeling by Surya Singh, MD, Chief Medical Officer and Vice President, Clinical Development, Proventys, Inc.
• Prospective Overpayment and Fraud Prevention: Never do "Pay and Chase" Again, by Brian C. Smith, Executive Vice President, Sales, HealthCare Insight
• Predictive Analytics in the Era of Healthcare Reform, by Mo Masud, Senior Manager, Actuarial & Insurance Solutions, Advanced Quantitative, Services, Deloitte Consulting
• Plus other Web Summit features including a Predictive Modeling Article Library, and an exclusive Predictive Modeling e-poll
• Attendees also receive a complimentary three month subscription to Predictive Modeling News.

1. Gain an overall sense of how predictive modeling is currently being deployed to meet the challenge for stakeholders to both improve and streamline processes and identify opportunities in the changing healthcare marketplace.
2. Understand how predictive modeling can be applied to address specific challenges raised by health care reform.
3. Learn how Predictive modeling is being used at health plans to identify members and geographic locations best suited for individual products and Medicare Advantage members most likely to have reimbursable conditions that are not recorded in claims data.
4. Consider employer driven demand and use of current health care predictive modeling applications.
5. Determine how predictive analytics is being utilization to improve performance and decrease key operating costs
6. Discover how predictive analytics can be used to structure evidence-based care plans and improve patient compliance.
7. Obtain relevant case experience and business intelligence offered by the faculty.
8. Experience e-learning at the attendees' convenience, with podcasts, article library, and other online Summit features available 24/7.
9. Engage in interactive learning through live webinar providing online question submission, attendee surveys, feedback and opportunity for follow up questions, and networking with attendees, faculty and other professionals through dedicated LinkedIn group.

• C-Suite Executives
• Analytics and Informatics Executives and Staff
• Actuarial and Underwriting Executives and Staff
• Statisticians and Data Analysts
• Planning and Strategic Executives and Staff
• Medical Directors
• Clinical Executives
• Care Management Executives
• Health Benefit Managers
• Business and Market Intelligence Staff
• Health Care Economists
• Other Interested Parties

Attendees would represent organizations including

• Health Plans
• Provider Networks
• Hospital Systems
• PBMs
• Employers
• Third Party Administrators
• Government
• Care Management Organizations
• Solutions Providers
• Pharmaceutical Organizations
• Consulting Organizations
• Business Processing Organizations
• Associations, Institutes and Research Organizations
• Media