Big data and predictive modeling topics in healthcare

This panel discussion will first review a few current big data and predictive modeling topics in healthcare in both providers and payers marketspace, including the problems, current status and challenges, and opportunities for big data and future trends. Follow the opening remarks, the panelists will provide their own insights and point of views on some of the topics, and interactive discussion among themselves and audience. Among many of the topics, a few examples are: Improve quality outcomes through analytics and predictive modeling; Reduce and prevent hospital re-admission through risk predictions and case management; Discover Abuse, Waste and Fraud in Healthcare Providers; Improve population health through personalized interventions; Understand the population signed through Health Insurance Exchange Marketplace (HIX); Population Risk Adjustment; Improve CMS STARS rating; Provider Quality Measurement and Regulator Reporting; Provider Risk and Revenue management; Unified Patient Record, Big Data Challenges for Providers and Payers, etc.