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HealthcareWebSummit: Predictive Modeling Web Summit 2012
 
Overview
Widespread initiatives to restructure provider payment and delivery systems, through accountable care arrangements, bundled payments, value based purchasing and related programs, all require provider organizations and health plans to better understand and apply risk adjustment models to their applicable populations.

Proactive preventable readmissions initiatives require provider organizations and health plans to predict and identify specific patients from their populations that are at high risk of readmission, and manage a program that applies intervention steps on their behalf.

Whether an organization is pursuing readmissions, accountable care, value based purchasing or numerous other key initiatives involve benchmarking and or identification of specific members of an applicable population at risk for for a condition or behavior, optimal Data Mining becomes a critical initial part of the process for health plans and provider organizations to achieve success in their program. 

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.

Position your organization for 2012 and beyond in the healthcare predictive analytic landscape. Join us for the Fifth Annual Predictive Modeling Web Summit on Thursday June 14th 2012, and participate in the live national webinar, additional downloadable pre-recorded faculty sessions, predictive modeling e-poll and more, featuring national experts providing key insights, trends, strategic recommendations, actionable intelligence and more on these critical topics.

 
Webinar Agenda
Thursday, June 14th, 2012
1:00 p.m. to 2:30 p.m. Eastern 
(10:00 a.m. - 11:30 a.m. Pacific)
Click here to find out what time your event starts in your time zone.
  • 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
 
Pre-Recorded Sessions & More
Pre-Recorded Presentations in Windows Media Video format with audio and synchronized slide advancement:
  • Predictive Analytics to Understand Compliance and Enrollment Patterns, by Rong Yi, PhD, Director, Risk Adjustment and Predictive Modeling Practice; Senior Consultant, Milliman
  • Managing Medicaid Patients with Physical and Behavioral Health Dual Diagnoses through Advanced Analytics, by Kip Piper, MA, FACHE, Senior Consultant, Sellers Dorsey
  • Shifting the Cost Paradigm with Big Data and Prepayment Analytics, by Kathy Mosbaugh, Director of State Government Health Care, LexisNexis
  • Plus other Web Summit features including a Predictive Modeling Article Library, an exclusive Predictive Modeling e-poll, and a three month trial subscription to Predictive Modeling News
 
Learning Objectives
Participants will be able to:
  1. Gain an overall sense of applicable risk adjustment issues, methodologies and models relevant to emerging provider payment and delivery system structures and key populations.
  2. Consider the parameters, process and approach taken by a health care system in proactively predicting patients as-risk for readmission and their program of targeted intervention for these patients
  3. Ascertain data mining strategies to improve the accuracy of an organization's risk models, and the resulting techniques that can be used in risk adjustment analysis; and the issues surrounding the secondary use of health data and how to use it appropriately to gain insight to effectively manage a population
  4. Explore predictive analytics topics including member compliance and enrollment patterns; management of dual eligible and dual diagnoses Medicaid patients; and application of big data and prepayment analytics
  5. Obtain relevant case experience and marketplace intelligence offered by the faculty, and insights offered from actuarial, health care system, health plan and related perspectives.
  6. Experience e-learning at the attendees' convenience, with downloadable pre-recorded sessions, article library, and other online Summit features available 24/7.
  7. Engage in interactive learning through live webinar providing online question submission, attendee surveys, feedback and opportunity for follow up questions, and networking with attendees, faculty and other professionals through dedicated LinkedIn group.
 
Who Should Attend
Interested attendees would include:
  • C-Suite Executives
  • Analytics and Informatics Executives and Staff
  • Actuarial and Underwriting Executives and Staff
  • Statisticians and Data Analysts
  • Planning and Strategic Executives and Staff
  • Medical Directors
  • Clinical Executives
  • Care Management Executives
  • Health Benefit Managers
  • Business and Market Intelligence Staff
  • Health Care Economists
  • Other Interested Parties

Attendees would represent organizations including

  • Health Plans
  • Hospital Systems
  • Provider Networks
  • Medical Groups
  • Care Management Organizations
  • Government
  • PBMs
  • Third Party Administrators
  • Employers
  • Pharmaceutical Organizations
  • Consulting Organizations
  • Business Processing Organizations
  • Solutions Providers
  • Associations, Institutes and Research Organizations
  • Media
 
Registration
Predictive Modeling Web Summit 2012
 
  Individual Registration Fee: $295. Audio Conference CD-ROM: $40 for attendees; $335 for non-attendees after the event. Registration includes a three month trial subscription to Predictive Modeling News for no additional cost.  
     
 
Register Now   Corporate Site licensing also available. Click here to register or call 209.577.4888 We look forward to your participation in this event!
 

  

  


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