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OVERVIEW

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 National Predictive Modeling Summit provides the leading forum on the techniques, technologies, strategies, innovations, and case experiences involved with predictive modeling clinical and actuarial applications for health plans and related settings.

The Summit provides nationally renowned keynote speakers, plus concurrent sessions organized into conference tracks including:

  1. Innovations
  2. Actuarial Applications
  3. Health Plan Populations
  4. Clinical Applications
  5. Basics

Presentations during the Summit will provide the most current information, experiences and solutions available regarding: demonstrating outcomes, value and return on investment; predictive modeling tools for case management; incorporating predictive modeling into preventive care and health promotion activities; plan design and premium rate development utilizing predictive modeling techniques; considerations for data repositories, decision support and analytics; enhancing quality improvement through predictive modeling; the basic concepts and issues involved in predictive modeling; 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.

Learning Objectives:
  • Review the current environment regarding predictive modeling concepts, trends, initiatives, and results
  • Offer insights into new innovations in predictive modeling techniques and applications
  • Analyze return on investment criteria and experiences
  • Consider clinical and business applications of predictive modeling relevant for hospital settings.
  • Explore the ongoing application of predictive modeling in actuarial and plan design settings
  • Examine predictive modeling applied to clinical and care management settings
  • Gain a working knowledge of specific challenges being addressed by health plans, provider networks, 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
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
  • 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



Overview | Agenda: At-a-Glance | Agenda/Faculty Materials | Promotional Opportunities
Attendee Demographics | Speaking Proposals | Contact Us | Administration | Past Summits | Home




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