Search
« What to Do Whilst Waiting for SCOTUS | Main | PPSA: What will come of the Physician Payments Sunshine Act? »
Monday
Jun112012

What’s Happening at MCOL – Thursday’s Predictive Modeling Web Summit 2012

By Claire Thayer, June 11, 2011

The 5th Annual Predictive Modeling Web Summit, co-sponsored by Predictive Modeling News, takes place this Thursday and we hope you will plan to join us!

The Fifth Annual Predictive Modeling Web Summit features a 90 minute webinar with national experts from actuarial, hospital system and health plan perspectives that tackle the topics of risk adjustment, predicting readmissions, data mining and more.

The event also includes three downloadable pre-recorded sessions, with expert faculty addressing predictive analytics applied to member compliance and enrollment patterns; Medicaid dual eligible and dual diagnoses populations; and application of big data and prepayment analytics to address the key challenges of state health care program payment models with respect to fraud, waste and Abuse and related issues.

Webinar Agenda (Eastern times)

  • 1:00 pm - 1:30 pm  Risk Adjustment and the Power of Four - Ksenia Draaghtel, ASA, MAAA, Associate Actuary, Milliman 
  • 1:30 pm - 2:00 pm  Predicting Risk of Readmissions for Targeting Patient Intervention - Jill Kalman, M.D., Director, Cardiomyopathy Program, Associate Professor of Medicine, Cardiovascular Institute, Mount Sinai Medical Center; and Maria Basso Lipani, LCSW. Coordinator, PACT (Preventable Admissions Care Team) , Mount Sinai Medical Center
  • 2:00 pm - 2:30 pm  Data Mining Strategies for Risk Stratification and Adjustment-- Sheila Owens Collins, MD, Vice President, Senior Medical Director, Community First Health Plan

For additional information about this event, including a description the pre-recorded sessions and more: http://www.healthwebsummit.com/pm2012.htm.

Reader Comments

There are no comments for this journal entry. To create a new comment, use the form below.

PostPost a New Comment

Enter your information below to add a new comment.
Author Email (optional):
Author URL (optional):
Post:
 
Some HTML allowed: <a href="" title=""> <abbr title=""> <acronym title=""> <b> <blockquote cite=""> <code> <em> <i> <strike> <strong>