Pharmacy Based Risk Adjustment - Better? Faster? How much do you Need?

Venue: Audio Conference

Location: Modesto, United States

Event Date/Time: Sep 07, 2006 End Date/Time: Sep 07, 2006
Registration Date: Sep 01, 2006
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Topic: Pharmacy Based Risk Adjustment - Better? Faster? How much do you Need?
Speakers: Amy Salls and Meg McGinn, DST Health Solutions
Date: Thursday, September 7th, 2006
Time: 1:00 p.m. to 2:00 p.m. Eastern
Place: Your office! (Audio Conference dial-in instructions and session presentation will be emailed to attendees in advance of session)
Cost: None
To Register:

Timeliness of retail pharmacy claims makes them an attractive source for the calculation of risk predictions. Pharmacy claims are typically processed at the point of sale and made available for analysis in less than 30 days. They are also inclusive of the minimal demographic and pharmacy data that are required to generate prospective health risk assessment and appear to have comparable predictive power to traditional diagnosis based models. In addition, traditional diagnosis based risk adjustment models usually recommend using a minimum of 12 months of data.
This presentation will use the Johns Hopkins University developed ACG Pharmacy Predictive Model (Rx-PM), the newest model in their suite of solutions, to explore the minimum amount of data required to calculate risk predictions without significantly impacting predictive power. Earlier access to this information supports more effective management of health risk and more timely analysis of expected reimbursement.
• Benefits of using retail pharmacy claims for calculating risk predictions.
• Discuss minimum amount of pharmacy data required to achieve comparable predictive power.
• Discuss applications that benefit from faster access to data.
Who should attend:
Health Care Senior Business Leaders including:
• Chief Medical Officers
• Chief Information Officer
• Director of Quality Improvement
• Director of Care Management
• Director of Pharmacy
Amy Salls, Director, Decision Technologies, DST Health Solutions. Ms. Salls has over 15 years experience in healthcare data analysis. Currently, Ms. Salls has operational responsibility for the distribution and support of the Johns Hopkins University ACG Case Mix and Predictive Modeling System. She is responsible for developing analytic approaches, customizing and evaluating statistical models and distributing web-based reporting software used by managed care organizations to improve client performance in clinical and operational efficiency. Ms. Salls has supported numerous commercial health plans and Medicaid entities through the implementation of risk adjustment and predictive modeling.
Meg McGinn, Consultant, DST Health Solutions. Ms. McGinn has over 8 years experience in healthcare data analysis, with a specific focus on the Johns Hopkins University ACG Case-mix System for the past 5 years. During this time she has evaluated the statistical performance of numerous predictive models; current responsibilities also include the provision of ACG analytic and technical support.

Register online at Slots for this event are limited. Please register promptly. All registrations are subject to review and approval by DST Health Solutions. If you have questions, contact Patty Jamison at the Healthcare Web Summit Office at 209.577.4888 for more information. We look forward to your participation in this event!

Deadline to register: Friday, September 1, 2006. After this date, you can request a Post-Summit CD by going to: