PR Newswire
Finvi, a leading provider of enterprise workflow automation software supporting a variety of revenue cycle management functions, today announced the launch of its new Denial Intelligence Engine, now available within the, now available within the Artiva HCx platform for insurance claim follow-up.
The engine leverages artificial intelligence (AI) and machine learning (ML) to help healthcare providers and their partners focus follow-up efforts on denied claims most likely to be recovered, thereby streamlining operations and improving financial outcomes.
The Denial Intelligence Engine, natively integrated into Artiva HCx, combines industry-wide data as well as client-specific insights to offer a more intelligent way to prioritize denied claims. The result is a dynamic, evidence-based scoring model that evolves over time to reflect both broad trends and local realities, providing empirical data through different scoring algorithms on the denials most likely to yield positive outcomes through human intervention.
Read More : Identity Management in the Financial Services Sector: Four Keys to Success
To further increase operational impact, the score is applied alongside Artiva HCx’s payer contract logic, providing a dual-layer intelligence that evaluates both the likelihood and value of reimbursement. The result: faster decisions, smarter resource allocation, and a greater return on denial follow-up activity.
“We’re not simply layering in AI, we’re building it into the core of our platforms,”said Tim O’Brien, CEO of Finvi. “The Denial Intelligence Engine is a great example of how we’re using cutting-edge machine-learning techniques to help clients take action on what really matters. As a result, our systems are continuously scanning, learning, and getting smarter – 24 hours a day, seven days a week.”
The addition of this feature underscores Finvi’s broader commitment to intelligent automation across the revenue cycle. From patient collections to insurance claims, Finvi’s platforms help providers modernize legacy systems, reduce manual effort, and recover revenue more efficiently.
Read More: Global Fintech Interview with Beth McCoy, President of RewardOps
[To share your insights with us, please write to psen@itechseries.com ]
