Institute for International Research

MONDAY, FEBRUARY 12, 2007

B1: Morning Workshop

Closing the Education Gap: Create an Educational Platform that Makes Predictive Modeling Easy to Understand

8:00 Registration & Morning Coffee

9:00 Are you sure everyone in your organization understands how to use the tools of predictive modeling? Solely relying on a vendor to make the choices for you won't produce the best results. This workshop takes a look at predictive modeling from the beginning stages to help you turn this into a tool that can be used by all departments within your organization. Learn how to get through the technical aspects so it is easier to market with less resistance to change.

• How can we get past the common weaknesses of the illusion of precision and unexplained variation showing what the models will result?
• How can we create a translation to understand the scores that come out of the predictive modeling from the scores of medical underwriting?
• Create awareness and evaluate the data produced.
• How do we explain the need to understand the underlying data to avoid equating high cost with high opportunity?
  
• How to use different tools in predictive modeling to identify eligible members for a program.
  
• How can we show nurses/clinicians how the models work?
  
• How can we educate other departments the value of predictive modeling?
  
• How can we create something that can be more accurate while turning into something that sales and marketing can use?
• Who Should Attend:
  Chief Medical Officers
• Medical Directors
  
• Director of Actuarial Services
  
• Risk Management
  
• Chief Actuary
  
• Corporate Statistician
  
• Medical Informatics
  
• Disease Management
  
• Case Management
  
• Benefit Managers
  
• HR Directors
  
• Manger/VP of Research & Development
  
• Medical Information Management

10:30 30-Minute Break
11:00 Morning Workshop Resumes
12:00 Luncheon for Faculty and Workshop Attendees

B2: Afternoon Workshop

Enhance Predictive Modeling by Improving Current Models that Create Better Solutions

12:30 Registration

1:00 Since the introduction of predictive modeling to health care in the late 1990s, it has evolved and the uses have began to grow in the public and private sectors. This workshop digs deep into predictive modeling discussing solutions. Participants will learn how data can be regulated, what applications are important to develop algorithms, how to apply the model more effectively, who can help refine the models and why a patient that scored low on the model doesn't mean they aren't high risk. Other important issues include:

• What new and advanced technology is available?
• How can models do a better job of identifying the situation that will be expensive and actionable?
• What plans demonstrate how to eliminate the false positives?
• How will manufacturers address the issues that models need to have longer term predictability?
• What are companies doing to widdle down the lists that come out of the algorithms?
• What solutions would make the lists more practical in identifying high risk/cost patients?
• How can the data make sense to the members of the care management team to make informed decisions?

Who Should Attend:

• Chief Medical Officers
• Medical Directors
• Director of Actuarial Services
• Risk Management
• Chief Actuary
• Corporate Statistician
• Medical Informatics
• Disease Management
• Case Management
• Manger/VP of Research & Development
• Medical Information Management

2:30 30-Minute Break
3:00 Workshop Resumes
4:00 Afternoon Workshop Concludes