HealthExecWire

HealthcareWebSummit: Integrating Risk Adjustment and Quality of Care Initiatives

Advanced analytics are changing the way health care enterprises detect and prevent fraud. Discover how Social Network Analytics can enhance traditional predictive modeling capabilities.

Join Bill Fox, JD, MA, Senior Director Health Care, LexisNexis Risk Solutions and Jo Prichard, Consulting Software Engineer, Lexis Nexis Risk Solutions as they guide you in understanding how this technology combined with claims and public data can help payers uncover complex and hidden collusion across their plan.

Participants will be able to:

Understand how to harness, integrate and query “big data” to build graphs that leverage the power of linking to reveal hidden relationships between providers and recipients and identify suspect claims patterns that rules based systems miss
Learn how to identify fraud proactively using cutting edge predictive and social network analytics
Explore case study results to determine: what does social network analytics truly tell us?
Engage in interactive learning through online question submission, attendee feedback and opportunity for follow up questions, and networking with attendees, faculty and other professionals through dedicated LinkedIn group

Interested attendees would include:

C-Suite Executives
Fraud & Abuse Prevention and Recovery Executives and Staff
Finance Executives
Claims Unit Executives and Staff
Analytics and Informatics Executives and Staff
Actuarial and Underwriting Executives and Staff
Statisticians and Data Analysts
Planning and Strategic Executives and Staff
Health Benefit Managers
Business Intelligence Staff
Health Care Economists
Other Interested Parties

Attendees would represent organizations including:

Health Plans
Provider Networks
PBMs
Employers
Third Party Administrators
Government
Business Process Organizations
Solutions Providers
Consulting Organizations
Associations, Institutes and Research Organizations
Media

Registration is Complimentary for qualified applicants. Applications will be accepted by the Summit sponsor according to their criteria. Applicants approved for registration will be notified by Summit within approximately seven business days of application or sooner.

Registrations must be submitted by Thursday September 15, 2011. Click here to register. We look forward to your participation in this event!