Provider data is at the center of almost every health plan workflow.
The quality of that data impacts health outcomes, member satisfaction, compliance and efficiency. It also is critical to detecting healthcare provider fraud and Medicaid fraud. LexisNexis® Risk Solutions is the industry leader in provider data and data management. Our proprietary linking and computing technology allows us to seamlessly aggregate, link and analyze vast sources of data to deliver accurate provider information and actionable insights.
LexisNexis Delivers
Provider Data Cleansing
Eliminates inaccuracies in your provider directory to best serve members and avoid potential penalties.
Proactive Data Monitoring
LexisNexis Provider Data MasterFileTM leverages over 2,000 sources to build, maintain and continually update provider data.
Advanced Visual Analytics
Employs proprietary data linking and computing technology to aggregate, link and analyze data covering more than 10.5 million providers.
Relationship Mapping
Unravels complex relationships and associated fraud schemes by connecting activity between providers, individuals and businesses.
Provider Integrity Scan
Automates a variety of provider verification searches and ongoing monitoring options to discover potentially fraudulent healthcare providers.
Achieve These Results
Combat Fraud
Detect and prevent healthcare provider fraud and Medicaid fraud leveraging LexisNexis data resources, state-of-the-art linking technology and advanced analytics.
Prioritize Investigations
Pursue cases of healthcare provider fraud, waste and abuse that are potentially the most lucrative.
Increase Efficiency
Verify and authenticate providers more quickly using LexisNexis provider data management tools.
Improve Compliance
Meet all CMS requirements and other regulations pertaining to provider data quality.
Close Provider Gaps
Analyze your provider network to identify and plug gaps in service areas.
Reduce Operating Costs
Eliminate wasted time and money spent attempting to contact providers whose information is incorrect or outdated.