Are you accurately evaluating the health risk of your group populations and meeting the standards of your clients?

Predictive modeling has expanded into the actuarial and underwriting realm. Health plans and insurers are increasingly using sophisticated predictive modeling tools to ensure precision pricing and control health costs. As a result, health plans now have the ability to justify their rates to their clients. Cost-conscious employers are using predictive modeling to assess the health risk of their own employee population, and are empowered with the ability to challenge the health plans’ rates. This provides for a new competitive climate in healthcare in which negotiation on pricing between health plans and employers is stronger than ever.

If you are like many forward-thinking health plans and employers, you have already begun to investigate and research how to benefit from the power of predictive modeling. However, you are most likely held back from making the investment of time and money due to complicated issues, like potential cost, skepticism about data accuracy, internal resistance, and understanding which of the many models on the market is the most suitable for your organization’s needs.

World Research Group’s 3rd Annual Predictive Modeling for Underwriting conference, taking place January 22-24, 2007, in Orlando, FL, will offer you solutions for tackling the many challenges of predictive modeling implementation. By learning from the successful predictive modeling programs that were implemented at Aetna, CIGNA HealthCare, Humana and others, this conference will enable you to leap forward in this new movement in risk management, will provide you with an open forum for intelligent discussion about predictive modeling, and, most importantly, will answer your most pressing predictive modeling questions.

This conference will specifically teach you how to:

Engage your organization and colleagues in understanding the benefits and challenges of this sophisticated technology

Evaluate the predictive model options sold in the marketplace

Develop your own predictive model

Implement predictive modeling for underwriting from adoption to rollout

Understand the collected data and how to apply it to your pricing methods

Incorporate a new predictive model with your existing risk assessment tools

This conference shares lessons learned and first-hand perspectives on predictive modeling for risk management. Hear in-depth case studies on how:

Aetna developed and deployed predictive models for several underwriting purposes, including setting premiums for renewal business

CIGNA HealthCare measures the value of predictive modeling in its pricing process and leverages the technology to supplement its small-group pricing process

Blue Cross Blue Shield of Illinois developed a methodology to reveal the crucial elements for understanding data mining and its implementation

Humana benefited from a predictive, consumer-driven pricing model used by its underwriting and sales team, that enabled a collaborative effort between the health plan, underwriter, broker/consultant and employer to achieve the employer’s desired financial goals

Blue Cross Blue Shield of Kansas City facilitated a vendor selection process to determine which predictive modeling tool would meet the needs of medical management, underwriting and actuarial

Destiny Health leverages predictive modeling in its new business underwriting

Lifewise Health Plan of Oregon and Arizona developed useful strategies to sell predictive modeling methodologies to the sales team, brokers and clients

The 3rd Annual Predictive Modeling for Underwriting conference has been designed expressly to give you solid perspectives from health plans, insurers, payors and employers of all sizes, types and budgets. See why hundreds of your colleagues and competitors have attended this conference and return year after year.

Don’t miss this opportunity to hear first-hand the lessons your peers have learned in predictive modeling for underwriting!