Prevent financial crime, improve operational efficiencies and enhance profitability.
Enhance investigations, derive insight from complex data sets, and combat fraud, waste and abuse.
Ensure appropriate access to health care, carry out health and disease management programs, and proactively reduce health care fraud.
Reduce expenses, combat fraud and achieve greater operational efficiency across multiple lines of business.
Protect your revenue, maximize operational efficiencies and enhance your ability to predict and prevent fraud.
Make more accurate, timely and better informed decisions with relevant, insightful information.
Increase your ability to detect and prevent fraud, contain costs and protect revenue with relevant information about people, businesses and assets.
Do business securely and profitably by better understanding your customers, employees and vendors.
Make informed decisions by identifying, authenticating, investigating and monitoring individuals.
Increase workflow efficiencies, gain greater insight into debt portfolios, collect more in less time and achieve greater profitability.
Protect your organization with quicker and more confident staffing decisions and the ability to better assess tenant risk.
5 Steps States can take to Combat Medicaid Fraud.
How Massachusetts is Verifying Insurance Buyers.
Using Big Data to Contain Costs and Improve Health Care Outcomes.
Clint Fuhrman, Director of Government Health Care, discusses the government’s crackdown on fraudulent doctors, nurses and other medical professionals. .
LexisNexis and AHIP Webinar on Achieving Member, Financial and Operational Health
Februrary 21 - Februrary 23
Developing Solutions to Reform-driven Challenges, Implementing Best Practices to Improve Overall Performance in The New Era of Health Care
Februrary 28 - March 1
Staying Ahead of the Health Care Agenda
Strategies to Expand Coverage, Improve Quality and Control Costs
Using Big Data For Big Impact
LexisNexis uses technology to spot health insurance fraud before claims are paid
Predictive modeling: Using big data for big impact: Bill fox talks about the use of predictive modeling improved patient outcomes
How LexisNexis unraveled a particularly knotty case of Medicaid fraud by applying advanced analytics
Data Security and Centralization Considerations: Despite recent progress in efforts to establish Health Information Exchanges (HIEs), many questions and challenges remain
LexisNexis Featured in The Beacon: Social Network Analytics (SNA) can be used to combat sophisticated fraud schemes
Clint Fuhrman writes about the attainability of the Centers for Medicare and Medicaid Services' plan to expand use of predictive modeling tools.
Clint Fuhrman, Director, Government Health Care talks about the role of identity management in health care
Bill Fox, Senior Director, LexisNexis Health Care Solutions talks about implementing a compliance-based model of fraud risk control
Sandia sees data management challenges spiral
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