Fifth Annual National Predictive Modeling Summit Features Ten Plenary Sessions on Critical Health Care Predictive Analytic

- CONFERENCE AVAILABLE ONLINE AS WELL AS ONSITE IN WASHINGTON DC ON NOVEMBER 8-9, 2011 -

WASHINGTON--(BUSINESS WIRE)-- The Fifth Annual Predictive Modeling Summit, the leading forum on predictive analytics applied to key health care functions, settings and populations, will be held Tuesday November 8th and Wednesday November 9th, at the Renaissance Washington DC, Downtown Hotel, and is also available live online with 24/7 archive access for six months.

The National Predictive Modeling Summit includes ten plenary sessions with leading national experts addressing these critical topics:

  • The Importance of Predictive Modeling and Health Care Analytics for Reform and System Transformation-Examining the Alphabet Soup of PM applied to ACOs, PCMHs, HIXs, MU and More; by Jonathan P. Weiner, DrPH. Professor of Health Policy and Management and Health Informatics and Executive Director of the ACG Research and Development Team, The Johns Hopkins University
  • Bending the Cost Curve: The Evolving Nature of Predictive Modeling-Implications of ACA and the evolving set of health plan-provider contractual arrangements; by H. Scott Sarran MD, MM, Chief Medical Officer, Blue Cross Blue Shield of Illinois
  • Predictive Models and Productivity-How employers use predictive model results to create programs identifying members with chronic diseases and create partnerships to steer members into appropriate care settings; by Russell D. Robbins, MD, MBA, Principal and Senior Clinical Consultant, Mercer, Inc
  • The Next Frontier: Predictive Models at the Point of Care by Dogu Celebi, MD, MPH, Chief Medical Officer, Payer Solutions, OptumInsight
  • What the Rules Can't See...Can Hurt You-Understanding the level of improper payments missed in your current system and how to utilize predictive analytics to substantially reduce fraud and other improper payment; by Bill Fox, JD, MA, Senior Director, Health Care Solutions and Ken Cunningham, Vice President and Segment General Manager, LexisNexis
  • Informing Decision Making with Predictive Modeling: Avoidable Diabetic Hospitalization; by Swati Abbot, Chief Executive Officer, Blue Health Intelligence
  • Improving Predictive Model Accuracy and Specificity: Moving Beyond Administrative Claims; by Bruce Macgibbon, Senior Director Product Management, OptumInsight
  • Predictive Modeling Contests in Healthcare - The Heritage Health Prize, a $3 Million Predictive Analytics Contest; by Jonathan Gluck, Senior Executive, Heritage Provider Network
  • Agent Based Modeling of the Transmission of STDs: Application to Cost Effectiveness Analysis of Preventive Strategies; by Ajay S. Behl, PhD, Health Economist, HealthPartners Research Foundation,
  • The Use of Predictive Modeling by New York Medicaid-A payment system based on risk group predictive modeling since 2008; by Lawrence Borok, President, Vantage Point Healthcare Information Systems

The Summit also features a preconference on Predictive Modeling Basics and Beyond by Ian Duncan, FSA, FIA, FCIA, MAAA, Visiting Associate Professor, Department of Probability and Applied Statistics, University of California Santa Barbara, and Founder, Solucia Consulting; as well as a postconference on Medicare Predictive Analytics that includes the following sessions:

  • Using Intervention Models and Predictive Models to Optimize Patient Selection for Care Management in ACOs by Richard E. Ward, MD, MBA, CEO, Reward Health Sciences, Inc
  • Identifying 'Suspect Health Conditions' in Medicare Risk Adjustment by Kwame Appiah-Yeboah, PhD, Senior Health Economics Analyst and Brian R. Boyce, CPC, CPC-I, Vice President, Clinical Coding Services, Health Risk Partners
  • Optimize Direct Response Marketing During Medicare Annual Open Enrollment Using Predictive Analytics by Abigail Doolittle, PhD, Vice President, Marketing Science, and Dave Berry,Vice President, Marketing Analytics, KBMG: Health Services Group
  • The Next Wave: The Role of Social Networking Analytics in Predictive Modeling - For Fraud Detection in Medicare and Other Programs by Clint Fuhrman, Senior Director of Government Health Care, LexisNexis, Washington, DC

ABOUT NATIONAL PREDICTIVE MODELING SUMMIT

Detailed information about the Fifth Annual National Predictive Modeling Summit including registration is available at www.PredictiveModelingSummit.com. For information on exhibiting, contact Justin Sorensen or Saam Phelps at (206) 673-4815 or [email protected]



CONTACT:

National Predictive Modeling Summit
Justin Sorensen, 800-503-9140
[email protected]
www.PredictiveModelingSummit.com

KEYWORDS:   United States  North America  District of Columbia

INDUSTRY KEYWORDS:   Health  Professional Services  Insurance  General Health  Managed Care

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