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Eighth Annual Predictive Modeling Web Summit 2015
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Overview
 
The confluence and complexities of new information technology and ongoing health reform implementation and transformation initiatives continue to place predictive modeling topics at the forefront of healthcare for the remainder of this decade. In this environment, innovative research and applications involving predictive analytics are essential for healthcare organizations as they move forward.

The Eighth Annual Predictive Modeling Web Summit features a 90 minute webinar with three national experts that offer innovative approaches, initiatives and research addressing the application of predictive analytics to key facets in the delivery of healthcare in this transformative era.

Webinar topics addressed include: (1)  Population Health Management: Innovations in Risk Adjustment and Predictive Modeling; (2) risk adjustment and shared savings agreements; and (3) connecting predictive modeling and end-users.

The webinar opens with Johns Hopkins' Jonathan Weiner, Dr.P.H discussing innovations in risk adjustment and predictive modeling with EHRs and new HIT Sources, as they relate to population health management. Milliman's Hans Leida PhD FSA MAAA will then address the role of risk adjustment in shared savings agreements, the various uncertainties involved in its potential impact, and the steps to take to maximize performance. Finally, UCSB's Ian Duncan, FSA, FIA, FCIA, MAAA shares insights in how to solve a key practical problem for healthcare organizations -  connecting their predictive modeling initiatives and staff with the end-users.

The event also includes two on-demand sessions, with expert faculty addressing analytics applied to Persona Based Population Strategy; as well as the link between CS Score and health outcomes. The sessions will explore (A) a health plan's innovative persona approach has transformed their care management for acuity based care coordination using cluster analysis to yield outputs of clinical personas. These personas result in population subsets requiring unique member interaction for tailored interventions; and (B) the scope of the controlled substance abuse epidemic and a variety of methods to detect misuse and abuse, and then discuss the Prime CS Score study, its implications, and opportunities for stakeholders to lightly manage or aggressively manage the problem.

Position your organization for 2016 and beyond in the healthcare predictive analytics landscape. Join us for the Eighth Annual Predictive Modeling Web Summit on Wednesday June 10th 2015, 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, innovate approaches, strategic recommendations, actionable intelligence and more on these critical topics.

 
Webinar Agenda
Wednesday, June 10th, 2015
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  Population Health Management: Innovations in Risk Adjustment and Predictive Modeling  - Jonathan P. Weiner, Dr.P.H., Professor and Director, Johns Hopkins Center for Population Health IT; Co-Developer and R&D Director, Johns Hopkins ACG System
  • 1:30 pm - 2:00 pm  Risk Adjustment and Shared Savings Agreements - Hans K Leida PhD FSA MAAA, Principal and Consulting Actuary, Milliman Inc.
  • 2:00 pm - 2:30 pm  Connecting Predictive Modeling and End-Users: the Last Mile Problem - Ian Duncan, FSA, FIA, FCIA, MAAA, Adjunct Professor of Actuarial Statistics, Department Of Statistics and Applied Probability, University of California, Santa Barbara
On-Demand Sessions & More
On-Demand video presentations with recorded presentation audio and synchronized slide advancement:
  • Combating Controlled Substance Abuse: Link Between CS Score and Health Outcomes, by Catherine Starner, PharmD, BCPS, Principal Health Outcomes Researcher, Prime Therapeutics
  • Persona Based Population Strategy: Incorporating Predictive Modeling into Member Care, by Bob Gladden, Vice President, Center for Analytics, CareSource and Cathy Meade, Director for Healthcare Analytics, CareSource
  • 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. Consider innovations in risk adjustment and Predictive Modeling for population health management.
  2. Understand the impact of health IT (HIT) trends on future innovations in predictive modeling and risk adjustment, including the evolving digital health milieu; the health data-economy shift; HIT mediated care - involving the new e-patient / e-clinician; opportunities -- and hype – of BIG data; e-Measures of risk and health as a new focal point; and HIT as a new enabler for population health.
  3. Ascertain the role of risk adjustment in shared savings agreements; the various uncertainties involved in its potential impact, and the steps to take to maximize performance.
  4. Address the issues surrounding connecting predictive modeling and end-users.
  5. Examine a case study on using cluster analysis to segment populations and find areas of specific opportunity.
  6. Review the scope of the controlled substance abuse epidemic and a variety of methods to detect misuse and abuse, and then analyze a CS Score study, its implications, and opportunities for stakeholders to lightly manage or aggressively manage the problem
  7. Obtain relevant case experience and marketplace intelligence offered by the faculty, and insights offered from varied expert perspectives.
  8. Experience e-learning at the attendees' convenience, with on-demand sessions, article library, and other online Summit features available 24/7.
  9. 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
  • Risk Adjustment 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
  • Provider Network Executives
  • 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
  • Media
 
Registration
Predictive Modeling Web Summit 2015
 
  Individual Registration Fee: $295. Post-event materials, with video syncing slides and recorded audio, plus presentation pdf file and more: $45 for attendees; $360 for non-attendees after the event. Register online or download the event brochure. 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!
 
 
 
Faculty
 
Jonathan P. Weiner

Jonathan P. Weiner,
Dr.P.H., Professor and Director, Johns Hopkins Center for Population Health IT; Co-Developer and R&D Director
Johns Hopkins ACG System

 
 
Jonathan P. Weiner, DrPH, is a professor of health policy and management at the Johns Hopkins Bloomberg School of Public Health in Baltimore. He is also a professor of health sciences informatics at the Johns Hopkins School of Medicine.

He is the founding director of the newly formed Johns Hopkins Center for Population Health IT (CPHIT). (www.jhsph.edu/cphit) He is also the director of the Public Health Informatics certificate training program at Hopkins.

Dr. Weiner is an internationally regarded researcher, consultant and lecturer. He is an expert in health care policy, integrated delivery systems, quality of care measurement and the application of digital data sources to research, analysis and care improvement.

His current work focuses on the application of electronic health records and other e-Health tools for population based applications. He is the co-developer and team leader of the Johns Hopkins ACG case-mix / predictive modeling system, a software tool used by hundreds of private and public organization to manage the care of 100+ million patients across the US and in more than 16 nations. (www.acg.jhsph.edu)




Hans K Leida, PhD
 
Hans K Leida PhD FSA
MAAA, Principal and Consulting Actuary
Milliman Inc.
 
 


Hans is a principal and consulting actuary with the Minneapolis office of Milliman. He joined the firm in 2006. Hans works in the health insurance area. He has consulted to insurance companies, Blue Cross Blue Shield plans, HMOs, government health programs, and employers. Recently, he has been working on individual and small group health insurance rate filings under the Affordable Care Act’s healthcare reforms.

Hans has completed many projects involving individual and group health underwriting, pricing, and rate filings. In 2007, he co-authored a paper for America’s Health Insurance Plans (AHIP) on the impact of guaranteed issue and community rating laws adopted by certain states in the 1990s. That paper has been widely cited with the advent of federal healthcare reform, including in amicus briefs presented to the U.S. Supreme Court.

Hans also has significant experience with risk adjustment and predictive modeling of healthcare costs. He was the lead developer of the prescription-drug-based risk adjuster included in the Milliman Advanced Risk Adjusters (MARA) software product. He has also performed firm-level research on the new federal ACA risk adjustment model that will take effect in 2014. Hans also has experience supporting Medicare Advantage and Medicare Supplement plans.

Prior to joining the firm, Hans taught mathematics while pursuing his PhD. He also performed research and co-authored a book with the support of a grant from the National Science Foundation. Hans has a BA (summa cum laude) in Mathematics and English from University of St. Thomas. His PhD is in Mathematics (Algebraic Topology) from the University of Wisconsin–Madison. He is a Fellow, Society of Actuaries, and a Member, American Academy of Actuaries.



Ian Duncan

Ian Duncan, FSA, FIA,
FCIA, MAAA
Adjunct Professor of Actuarial Statistics, Department Of Statistics and Applied Probability, University of California, Santa Barbara
 
   
Mr. Duncan is Adjunct Professor of Actuarial Statistics, Department of Statistics and Applied Probability, University of California, Santa Barbara, Santa Barbara, CA. Ian recently served as Vice President, Outcomes and Analytics for the Walgreen Cos. in Deerfield, IL. where he was responsible for all the company's clinical research and publications. He was formerly president and founder of Solucia Consulting, a SCIOinspire company, a provider of analytical and consulting services to the healthcare financing industry.

Mr. Duncan holds a post-graduate degree in economics from Balliol College, Oxford, and is a fellow of the Society of Actuaries, the Institute of Actuaries (London) and the Canadian Institute of Actuaries. He is active in public policy and healthcare reform, and serves on the boards of directors of the Commonwealth of Massachusetts Healthcare Connector Authority and SynCare, LLC.

Academically, he is a Senior Scholar of the Dept. of Health Policy of the Thomas Jefferson Medical College, an Adjunct Research Professor of the School of Healthcare Administration at Georgetown University, and Visiting Professor of Actuarial Mathematics in the Dept. of Probability and Applied Statistics at the University of California, Santa Barbara. He is the author of a number of peer-reviewed papers, (two of which have won best-paper awards from the Disease Management Association of America) and a number of books. His books include "Managing and Evaluating Healthcare Intervention Programs" (Actex Publishers, 2008) and "Healthcare Predictive Modeling and Risk Adjustment" (April 2011).



Catherine Starner

Catherine Starner, PharmD, BCPS
Principal Health Outcomes Researcher
Prime Therapeutics
   Catherine Starner, PharmD, BCPS is the Principal Health Outcomes Researcher for Prime Therapeutics. Cathy uses integrated medical and pharmacy data to study the impact of pharmacy programs and identify the most cost-effective treatments. Her research helps improve every aspect of pharmacy benefit management.

Cathy joined Prime Therapeutics as a Senior Health Outcomes Researcher in 2007. Previously she was Assistant Professor with the University of Minnesota College of Pharmacy for five years. She also continues as Clinical Assistant Professor, Experimental and Clinical Pharmacology with the University.

She received her Doctor of Pharmacy (PharmD), Geriatrics from the University of Minnesota-Twin Cities. Her Residency was with the Geriatric Pharmacy, Veteran Affairs Medical Center, University of Minnesota and her Fellowship was in Geriatric Pharmacotherapy, College of Pharmacy Institute for the Study of Geriatric Pharmacotherapy, University of Minnesota.

 


Bob Gladden

Bob Gladden
Vice President, Center for Analytics
 CareSource
 

Bob Gladden is Vice President for the Center for Analytics at CareSource, a nonprofit Medicaid organization with over 1 million members. He leads analytics for the organization that guide its mission-driven focus.

Bob has over 30 years of experience in the fields of health care analytics, health care administration, actuarial science, underwriting and finance with major consulting organizations, hospital systems, management companies and payers. Bob holds an MA degree from Bowling Green State University.


 


Cathy Meade

Cathy Meade
Director for Healthcare Analytics
 CareSource
 

Cathy Meade is Director for Healthcare Analytics at CareSource, a nonprofit Medicaid organization with almost 1 million members. She currently leads the health care analytic efforts for the organization, with a focus on diagnostic and predictive analytics that maintains a strong practical sense of helping the organization achieve its mission-driven focus.

Cathy has over 20 years of experience in the fields of health care analytics, business process improvement, finance and IT within the health care, technology and banking industries. Cathy holds a BA degree in business from Capital University.


 
 
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