Cross-Payer Analytics: Benefits & Value
- Health insurance payers, facing pressure from rising medical loss ratios (MLR), are seeking ways to manage costs without reducing member benefits.
- By using benchmarks derived from blinded claims data from multiple payers, health plans can make better-informed decisions about payment policy.
- Cotiviti also identified specific payment policies that coudl mitigate rising costs,supported by data showing that other payers in the same market had already implemented them.
Unlock healthcare cost savings wiht cross-payer analytics! Health plans are under pressure to manage medical loss ratios, and while internal claims data is useful, it frequently enough lacks the broader market insights needed. Cross-payer analytics, powered by blinded claims data from multiple sources, offers a superior solution. News Directory 3 sources show how clever data comparisons enable better informed decisions on payment policies. Cotiviti, for example, leverages data from nearly two-thirds of the U.S. insured population to help payers identify spending trends and implement effective payment strategies. By understanding market-wide utilization,health plans can optimize spending and achieve significant cost reductions. Discover what’s next in healthcare analytics.
Cross-Payer analytics Offer Key to Healthcare Cost Savings
Updated June 5, 2025
Health insurance payers, facing pressure from rising medical loss ratios (MLR), are seeking ways to manage costs without reducing member benefits. Many rely on thier own claims data to identify and curb improper spending.Though, this approach frequently enough misses a crucial element: understanding which procedures and codes are driving higher utilization and spending across the broader market.
Cross-payer analytics provide a solution. By using benchmarks derived from blinded claims data from multiple payers, health plans can make better-informed decisions about payment policy. For example, Cotiviti’s payment integrity analytics team provided a large payer struggling with its MLR with reports on Medicare utilization trends, top spending drivers, and regional trend mapping.
Cotiviti also identified specific payment policies that coudl mitigate rising costs,supported by data showing that other payers in the same market had already implemented them. With access to data spanning nearly two-thirds of the U.S. insured population, Cotiviti aims to help organizations make informed payment policy decisions and achieve medical cost savings.