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 as occurred.
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 such as health care reform and ICD-10 conversion.
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 Third 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 new 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; employer total health management strategies; health plan transformation; health plan enterprise risk management; Medicaid population management; medical homes; risk adjustment of hospital inpatient mortality; risk assessment and management of long term care 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.
Who Should Attend:
- Explore the current environment regarding predictive modeling concepts, trends, initiatives, and results
- Delve into the role and impact of predictive modeling in health care reform
- 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
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