The ongoing implementation of health care reform, recession-driven cost and performance pressures, information technology advances, continual marketplace and operational change, and competing demands for limited resources, all align the critical need for stakeholders throughout the system to strengthen their predictive health care analytics to address a wide front of applications and issues.

Position yourself and your organization for Predictive Modeling in 2011 and beyond with the fourth annual Predictive Modeling Web Summit. Attendees will hear from national experts sharing their insights, experiences, knowledge and solutions in addressing the challenges of these key predictive modeling topics. Attendees also receive a free three month subscription to Predictive Modeling News.

• 1:00 pm - 1:05 pm Introductions and logistics - Russell Jackson, Editor, Predictive Modeling News (Moderator)
• 1:05 pm - 1:35 pm Fraud Risk Prevention: An Update on Predictive Analytics Initiatives for Fraud Risk Control - Bill Fox, JD, MA, Senior Director Healthcare, LexisNexis Risk Solutions
• 1:35 pm - 2:05 pm ACOs: Risk Adjustment and Predictive Analytics Applied to Accountable Care Organizations - Rong Yi, PhD, Senior Consultant, Milliman, Inc.
• 2:05 pm - 2:30 pm Medicaid Programs: Current Issues in Predictive Analytics - the Monroe Plan Experience - Howard Brill, PhD, Director, Medical Informatics, Monroe Health Plan

• Pharmacy Risk Optimization, by Cheryl Duva, Vice President and Pharmacy Optimization Practice Leader, Ingenix Consulting
• Integrating Predictive Analytics and Business Rules Management to Enhance Insurance Marketing Strategies, 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. Consider the range of issues, experience and available strategies and solutions available in addressing health care fraud risk prevention
2. 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.
3. Understand how ongoing predictive modeling relates to critical components of Accountable Care Organization development and operations.
4. Learn how Predictive modeling is currently being deployed in the Medicaid program population, and the unique challenges, solutions and experiences that are involved..
5. Obtain relevant case experience and business intelligence offered by the faculty.
6. Experience e-learning at the attendees' convenience, with downloadable pre-recorded sessions, article library, and other online Summit features available 24/7.
7. 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