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How to Implement Predictive Modeling for Disease Management

Tuesday, March 23, 2010

12:00 PM - 1:15 PM ET

Today with increasing healthcare costs understanding and segmenting the patient population is a critical to containing costs while maintaining the quality of care. Predictive modeling can be an effective tool in identifying high-risk members who would most likely benefit from disease management intervention. Yet implementing predictive modeling involves decisions which affect a variety of functions: information systems, health policy, strategic planning, etc. This webinar demonstrates how predictive modeling can be integrated into a disease management program and discusses specific policy, behavioral economic and IT considerations, which must be addressed prior to implementation.


Learning Objectives

  • Implementing predictive modeling into a disease management program
  • Behavioral economics and its role in disease management
  • Adapting medical policy to predictive modeling
  • Strategic planning, How to solve the business problem of predictive modeling in disease management

Who Will Benefit?

  • Chief Strategy Officers
  • Senior Commercial Executives
  • Chief Underwriting Officers
  • Chief Actuarial Officers
  • Chief Technology Officers
Also, Executives responsible for:
  • Predictive Modeling
  • Disease Management
  • Population Management
  • Medical Management
  • Medical Policy
  • Analytics
  • Health Informatics
  • Information Systems
From Health Plans and Managed Care Organizations
Speakers

Richard Findlay

Richard Findlay
Practice Director
Diamond Technology and Management Consultants

Amaresh Tripathy

Amaresh Tripathy
Principal
Diamond Technology and Management Consultants

Anand Rao

Anand Rao
Partner
Diamond Technology and Management Consultants


Webinar Registration
Webinar pricing is not yet available. Please check back soon for updates.

Or call: 800-647-7600

About our Speakers

Mr Findlay has over 25 years of experience across the healthcare industry. He has focused on developing clients' business strategies that create competitive advantage through the optimal use of Information Technology. Within the industry Richard held senior executive positions with SmithKline Beecham Abbott Laboratories A T Kearney, Ernst & Young and CSC. He is recognized as a leading authority on the future of healthcare and informatics frequently publishing and speaking at conferences on leading edge developments.

Mr Tripathy has helped Fortune 500 companies in multiple industries to use bottoms-up data analytics in strategic decision making. His work has focused on developing growth strategies, defining market entry plans, understanding customer behavior to increase profitability, etc. Amaresh founded Diamond’s Information and Analytics practice and set up its delivery center in Mumbai, which he helps to manage. He is the editor of Diamond's information analytics blog. Amaresh holds a Masters degree in Transportation Systems Engineering from the University of Texas at Austin.

Mr Rao has more than twenty years of experience in using advanced techniques, such as predictive modeling, agent-based simulation, and system dynamic techniques to analyze decision making situations. Anand is the lead proponent of the Belief-Desire-Intention agent modeling paradigm and was recognized for his contribution in this field with the Most Influential Paper Award for the decade by AAMAS in 2007. He has co-authored a number of papers, has written four books on building intelligent systems and is a frequent speaker at conferences.

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