Missing information is a common problem in claims. Some SIUs have to consult multiple data sources to fill the gaps. Some data sets and reports don’t add enough value to justify their purchase. And some claims departments struggle with saving time and money while effectively analyzing and investigating claims.
Research Hub helps fill in the gaps with supplemental claims information from best-in-class sources.
Research Hub seamlessly integrates with ClaimSearch®, so adjusters can save time by accessing vital information within a single platform instead of searching several sources.
The toolkits feature combines the targeted data reports needed for researching a workers’ compensation claim to create a single, detailed report.
Adjusters can quickly find suspicious information about a claimant or service provider to make more detailed, accurate referrals to SIUs.
Incomplete, inaccurate claim information leads to longer cycle times, higher costs, and inefficient processes. Research Hub helps claims handlers and SIU professionals access missing information quickly so they can process claims faster and improve investigations.
Research Hub offers more than 100 million federal, state, and county criminal and civil records, including Social Security numbers, dates of birth, AKAs, and more.
Analyzes new claims by loss type, line of business, and other data points to identify data uniquely available data in Research Hub to help process the claim.
Provides suggestions for reports that you may be needed to fill in the most critical details, helping enable better decision-making
Explore our full suite of anti-fraud claims solutions.
Fast-track claims while improving fraud detection with access to data from more than 1.8 billion claims.
These models deliver enhanced claim scores and reason codes to detect potential fraud and support investigations.
Discover the hidden relationships and connections among claimants, providers, and businesses.
Advanced analytics and expert clinical oversight to detect medical provider fraud, waste, and abuse.
This automated process applies a series of algorithms to every customer-submitted loss photo to expose anomalies.