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Predictive Modeling Web Summit 2008

co-sponsored by:
The National Predictive Modeling Summit    Predictive Modeling News
   
A Healthcare Web Summit Event featuring the first annual web summit on Predictive Modeling, with Live Webinar faculty providing different perspectives: Brian Day, Ed.D., Director, Advanced Analytics, Highmark, Inc.; Chris Birkmeyer, COO and Practice Leader, Solucia Inc.; Rong Yi, PhD, Senior Scientist, DxCG - A Division of Urix; plus additional faculty Podcasts with companion presentations, and additional web summit features.

Live Pay for Performance 2008 Webinar
Thursday, June 5, 2008
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.

  • Last minute registrations can be accepted by calling 209.577.4888 or by fax at 209.577.3557. Click here for a downloadable order form you can fax or mail.
  • Click here to return to Web Summit main page

 

Predictive Modeling in health care is a process involving assessment and adjustment of risk and behavior, applied to a given population based upon available data for purposes of stratifying that population according to their future probabilities of incurring a given outcome or behavior. The purpose of Predictive Modeling is to risk stratify a population to identify individual opportunities for intervention or action before the projected outcome as occurred.

Predictive Modeling requires an existing data repository, in which data is mined, and selection of a specific modeling tool to apply to the historical timeframe to predict outcomes for an alternative timeframe. Traditional data sources may include individual demographics, pharmacy and medical claims data, lab values, health risk assessment data, and other clinical data.

The Predictive Modeling Web Summit provides a unique means to obtaining current trends, issues and solutions on key predictive modeling topics from leading national experts.

Webinar / Audioconference

  • The Webinar / Audioconference is scheduled for Thursday, June 5th, 2008; 1:00 p.m. to 2:30 p.m. Eastern (10:00 a.m. - 11:30 a.m. Pacific)
  • Brian Day, Ed.D., Director, Advanced Analytics, Highmark, Inc., Pittsburgh, PA, will discuss "Predictive Modeling at Highmark"
  • Chris Birkmeyer, COO and Practice Leader, Solucia Inc., Farmington, CT, will discuss "Beyond Risk: Incorporating intervenability into predictive models"
  • Rong Yi, PhD, Senior Scientist, DxCG - A Division of Urix, Boston, MA, will discuss "Risk Adjustment and Predictive Modeling for Medicaid"
  • In addition to a thorough discussion of their presentations, the Webinar will include ample time for audience questions and answers.
  • Attendees will receive dial-in instructions shortly before the event, and have two options to view the companion presentations: they can logon to view the live webinar online, or simply link to download and view or print the presentation offline.

Podcasts

  • Additional downloadable Podcast recordings will be available 24/7 to attendees, averaging around 15 minutes in length.
  • Companion presentations related to each Podcast discussion are also available for downloading.
  • Swati Abbott, President, MEDai, Orlando, FL, discussing "Use of predictive modeling to bridge the gap among payors, physicians, and patients"
  • Vincent Kane, FSA, MAAA, Research Scientist, DxCG, Boston, MA, discussing "Using predictive modeling to simulate Health Savings Account performance for the chronically ill"
  • Russell D. Robbins, MD, MBA, Principal & Senior Clinical Consultant, Mercer, Norwalk, CT , discussing "How Employers are Using Predictive Models"
  • Surya Singh, MD, SVP, Client Solutions and Clinical Operations, D2Hawkeye, Inc., Waltham, MA, discussing "Clinically-Based Predictive Modeling: A medical rules-based predictive modeling system and the incorporation of advanced statistical techniques"

Additional Web Summit Features

  • A library of selected recent articles on predictive modeling issues is available to attendees
  • Attendees can link to faculty web pages and click to send them follow up questions
  • Attendees can review results from several previous predictive modeling surveys
  • Attendees will be given the opportunity to provide immediate feedback after the webinar event
  • The Summit web site, including podcasts, faculty presentations, article library, faculty pages, survey results, and more, will be available 24/7 for three months following the event.
  • Attendees will receive a complimentary 30-day paid MCOL membership
  • A Summit CD-ROM with full webinar and podcast recordings, faculty presentations and additional materials is also available to attendees for an extra $40.
  • Attendees will receive a complimentary current issue of Predictive Modeling News.

Participants will:

  1. Review the current environment and trends involved with predictive modeling applications in a variety of settings and perspectives.
  2. Examine predictive modeling issues and solutions involved in such predictive modeling topics as Incorporating intervenability, Medicaid risk adjustment and HSA performance for the chronically ill 
  3. Explore insights into new innovations in predictive modeling techniques and applications 
  4. Gain a working knowledge of specific challenges being addressed by stakeholders involved with predictive modeling. 
  5. Share in case experiences of predictive modeling initiatives already applied in the industry 
  6. Experience e-learning at the attendees' convenience, with podcasts, article library, survey results and other online Summit features available 24/7
  7. Engage in interactive learning and networking through live webinar providing question and answer periods, attendee feedback, and e-mail inquiries with faculty.

This Web Summit will benefit leadership teams and key staff from health plans, self-insured employers, provider networks, TPAs, insurance companies, government agencies, consulting firms, pharmaceutical companies, PBMs, solution developers and others, including the following individuals:

  • Chief Executive Officers
  • Chief Actuarial Officers
  • Chief Clinical Officers
  • Chief Information Officers
  • Chief Marketing Officers
  • Chief Medical Officers
  • Chief Operating Officers
  • Chief Science Officers
  • Chief Strategy Officers
  • Medical Directors
  • Actuarial and Underwriting Staff
  • Care Management Staff
  • Case Management Staff
  • Clinical Research Staff
  • Decision Support Staff
  • Disease Management Staff
  • Employer Benefit Management Staff
  • Healthcare Informatics Staff
  • Information Technology Staff
  • Planning and Strategy Staff
  • Predictive Modeling Staff
  • Provider Relations and Contracting Staff
  • Quality Management Staff
  • Research Analysts
  • System Vendors and Integrators
Chris Birkmeyer, COO and Practice Leader, Solucia Inc., Farmington, CT - Chris has extensive experience in health services research, predictive modeling and outcomes analysis. Prior to joining Solucia, he directed the Informatics Department at Health Dialog focused on measurement of disease management performance, predictive modeling, and client reporting. Previously, he managed the Data Center for the Department of Surgery at Dartmouth-Hitchcock Medical Center and worked as a consultant for the LeapFrog Group. He holds an M.S. in epidemiology/biostatistics from Dartmouth.

    

Rong Yi, PhD, Senior Scientist, DxCG - A Division of Urix, Boston, MA - Dr. Yi will explain the power of predictive modeling and risk adjustment tools in determining the underlying disease burden and resource needs of the members under managed care in contrast with the unmanaged members, and the under and uninsured members. She will describe how the tools are able to estimate the impact of the managed care program in terms of cost containment, utilization management and quality of care. Rong Yi participates in the ongoing research and development of the Diagnostic Cost Group (DCG) risk adjustment methodologies. Rong brings her strong applied analytical and quantitative skills in economics and finance, to develop DxCG predictive models for the health care financial market. Before joining DxCG in 2001, Rong was a research assistant and a research fellow at Boston University where she participated in a number of research projects on health economics, industrial organization, and economic development. She was also an instructor at the School of Management and the College of Arts and Sciences at Boston University. She received her Ph.D. in Economics and an MA in Political Economy from Boston University, and B.S. in Regional Economics from Peking University, Beijing, China    

Brian Day, Ed.D., Director, Advanced Analytics, Highmark, Inc., Pittsburgh, PA - Highmark's Advanced Analytics department has been using predictive modeling
strategies for many years. Their core use began with the implementation of
the DxCG software in our condition management programs. Dr. Day's presentation
will cover some things Highmark has completed using predictive modeling, what is  currently being done, and end with where Highmark is going with predictive modeling.  Dr. Day is currently the Director of Advanced Analytics and has been employed at Highmark for 7 years. His department is responsible for developing innovative strategies in trending disease and costs, developing ROI models, and conducting financial and clinical analysis of both internal and external initiatives sponsored by Highmark. Brian completed his doctorate in Educational Psychology at West Virginia University in January 1999. The dissertation was titled; “Using Stages Of Change To Examine Fear, Threat, Efficacy, And Safety Climate Perceptions In Health Care Workers Who Routinely Handle Needles And Sharps.” The research examined the effect of perceptions on safety behavior. Prior to employment at Highmark, Brian worked at the National Institute for Occupational Safety and Health (NIOSH) for 9 years as a statistician and health communications researcher and consultant. Before NIOSH, Brian was a project coordinator at Western Psychiatric Institute and Clinic and oversaw the operations and evaluation of a multi-year, 400 plus family, longitudinal research study investigating the fire setting behavior among children.
Summit Podcast Faculty:

Swati Abbott, President, MEDai, Orlando, FL

Vincent Kane, FSA, MAAA, Research Scientist, DxCG, Boston, MA

Russell D. Robbins, MD, MBA, Principal & Senior Clinical Consultant, Mercer, Norwalk, CT 

Surya Singh, MD, SVP, Client Solutions and Clinical Operations, D2Hawkeye, Inc., Waltham, MA
           
Individual Registration Fee: $295. Audio Conference CD-ROM: $40 for attendees; $355 for non-attendees after the event.

Corporate Site licensing also available. Last minute registrations can be accepted by calling 209.577.4888 or by fax at 209.577.3557. Click here for a downloadable order form you can fax or mail. We look forward to your participation in this event!

 

 

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