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Sixth Annual Predictive Modeling Web Summit 2013
 
Overview
The confluence and complexities of new information technology and health reform initiatives place predictive modeling topics at the forefront of healthcare for the remainder of this decade. The spectrum of challenges and opportunities include:  How to leverage the wider flow of data resulting from EHR-meaningful use and other technology initiatives -- How to crack the holy grail of targeting medication adherence interventions to improve outcomes and resource utilization -- How to advance the application of analytics and big data in healthcare taking into account unique properties of biologic systems as opposed to a paradigm of mathematical modeling and analytics.

The Sixth Annual Predictive Modeling Web Summit features a 90 minute webinar with national experts from academic, pharmacy and hospital system perspectives that tackle the predictive analytics topics of increased data stream opportunities and issues, medication adherence interventions and big data plus more.

The event also includes two on-demand sessions, with expert health plan and actuarial faculty addressing predictive analytics applied medication adherence for readmissions management, and health status and risk adjustment considerations for the formerly uninsured in 2014.

Position your organization for 2014 and beyond in the healthcare predictive analytic landscape. Join us for the Sixth Annual Predictive Modeling Web Summit on Thursday June 13th 2013, and participate in the live ninety-minute national webinar, additional on-demand 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 13th, 2013
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  Predictive Modeling Opportunities, Issues and Implications from Richer Data Streams via EHR and Other Sources - David Bodycombe, Sc.D., Director of R&D, The Johns Hopkins ACG® System   
  • 1:30 pm - 2:00 pm  Medication Adherence Interventions: using predictive modeling and risk stratification to target and improve program efficiency - Michael S. Taitel, PhD, Senior Director, Clinical Outcomes & Analytic Services, Walgreen Company
  • 2:00 pm - 2:30 pm  Protons Don't Smoke - A unified theory for biologic science - in the context of big data in healthcare - William Rice, MD, Senior Vice President, Clinical Innovation, St. David's HealthCare, Central and West Texas Division, Hospital Corporation of America
 
On-Demand Sessions & More
On-Demand presentations in Windows Media Video format with audio and synchronized slide advancement:
  • Better Living Through Chemistry - An analytics initiative correlating medication adherence with readmissions, with a targeted intervention program, by Brian E. Wolf, MD, Senior Medical Director, Health Management Integration, Blue Cross & Blue Shield, Rhode Island
  • 2014: The Formerly Uninsured Population - Health Status; Risk Adjustment; Medicaid & HIX Impact, by Rong Yi, PhD, Director, Risk Adjustment and Predictive Modeling Practice; Senior Consultant, Milliman and Stacey Muller, FSA, MAAA, Actuary, Milliman
  • 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 the predictive modeling opportunities, issues and implications resulting rom richer data streams via EHR and other sources.
  2. Examine using predictive modeling and risk stratification to target and improve program efficiency via Medication Adherence Interventions.
  3. Understand a unified theory for biologic science in the context of big data in healthcare, and the implications for a predictive analytics approach that provides more consideration to biologic systems than a paradigm relying and mathematical modeling and analytics.
  4. Explore predictive analytics topics including analytics initiative correlating medication adherence with readmissions, with a targeted intervention program; and health status; risk adjustment; Medicaid & HIX impact of the formerly uninsured in 2014.
  5. Obtain relevant case experience and marketplace intelligence offered by the faculty, and insights offered from pharmacy, actuarial, health care system, health plan and academic perspectives.
  6. Experience e-learning at the attendees' convenience, with on-demand 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
  • Pharmacy Benefit Executives
  • Health Benefit Managers
  • Innovation and Transformation Executives
  • 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
  • Medi
 
Registration
Sixth Annual Predictive Modeling Web Summit 2013
 
  Individual Registration Fee: $295. Webinar flash drive with video syncing slides and recorded audio, plus presentation pdf file, plus on-demand sessions: $45 for attendees; $360 for non-attendees after the event. Register online.  
     
 
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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