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OVERVIEW

Predictive Modeling in health care is an analytics 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 has occurred.

Health Reform, through the adoption of The Patient Protection and Affordable Care Act and related legislation and regulations, presents a new array of issues, opportunities and challenges that to address through application of predictive analytics. Furthermore, as Predictive Modeling in health care matures as a field, exciting developments continuously emerge with respect to available tools and technologies; applications in new and expanded functions and settings; refinements of techniques and data repositories; and external forces beyond health care reform such as ICD-10 conversion or the economic downturn.

The National Predictive Modeling Summit provides the leading forum on predictive analytics applied to key health care functions, populations and settings, and will fully address the impact of these developments to best position attending professionals and their organizations for the future.

The Fourth National Predictive Modeling Summit provides nationally renowned keynote speakers covering a wide range of expertise applicable to the filed of predictive modeling, in an innovative hybrid conference format, offering attendees the choice of in-person or Internet attendance. Presentations during the Summit will provide the most current insights, information, experiences and solutions available regarding the role of and use of Predictive Modeling in such key topics as health care reform; new provider reimbursement models; improving access and coordinating delivery for an increased covered population; risk assessment & premium rating; employer applications; physician network applications; predictive risk models for health management; changing the consumer-payer-provider silo approach to a new 3-D model; approaches to improve quality of care; palliative or hospice care management; triage of acute decompensated congestive heart failure in the ER; international applications; innovations; and much more. The Summit also provides the ideal networking opportunity for professionals throughout all industry sectors to interact, develop future relationships, discuss shared experiences and meet key contacts.

The Summit also provides the ideal networking opportunity for professionals throughout all industry sectors to interact, develop future relationships, discuss shared experiences and meet key contacts.

Learning Objectives:
  • Explore the current environment regarding predictive modeling concepts, trends, initiatives, and results
  • Delve into the role and impact of predictive analytics in various aspects of health care reform, including newer provider reimbursement models, and expanded population coverage
  • Offer insights into new innovations in predictive modeling techniques and applications
  • Consider clinical, actuarial, care management, payment and business perspectives of predictive modeling as applied to specific functions
  • Examine predictive modeling applied to a variety of populations and settings
  • Gain a working knowledge of specific challenges being addressed by health plans, provider networks, health care organizations and purchasers of health care services
  • Understand the information technology, data and infrastructure requirements to undertake various predictive modeling applications
  • Share case experiences of predictive modeling initiatives already applied in the industry
  • Examine various solutions available to implement various types of predictive modeling programs
  • Provide a basic understanding of predictive modeling concepts, techniques and issues for those previously not intimately familiar with the subject
  • Review international health care applications of predictive analytics
Who Should Attend:

Specifically, the 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
  • Business Intelligence Staff
  • Business Transformation Staff
  • Care and Case Management Staff
  • Clinical Research and Intelligence Staff
  • Decision Support Staff
  • Disease Management Staff
  • Employer Benefit Management Staff
  • Healthcare Informatics Staff
  • Information Technology Staff
  • Planning and Strategy Staff
  • Predictive Modeling and Analytics Staff
  • Provider Relations and Contracting Staff
  • Quality Management Staff
  • Research Analysts
  • System Vendors and Integrators
  • Provider Relations and Contracting Staff
  • Quality Management Staff
  • Research Analysts
  • System Vendors and Integrators



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