Monday, June 23, 2025

FinThrive Introduces Agentic AI at HFMA 2025 to Help Customers Transform Healthcare Revenue Cycle Management Performance

FinThrive, a leading healthcare revenue management software-as-a-service (SaaS) provider, will have a significant presence at the 2025 Healthcare Financial Management Association (HFMA) Annual Conference, which will take place June 22-25 in Denver, Colorado. With high-profile speaking engagements, live demonstrations of cutting-edge solutions, and Agentic AI-driven innovation, FinThrive will showcase how its revenue cycle management platform helps healthcare organizations modernize operations, reduce friction and more strategically and proactively recover revenue.

Advancements in Artificial Intelligence – Agentic AI

FinThrive is expanding its suite of AI and machine learning (ML), generative AI, and robotic process automation (RPA) tools with the launch of Agentic AI capabilities, a next-generation innovation in healthcare revenue cycle management. Unlike traditional revenue cycle automation tools that rely on predefined rules, agentic AI introduces intelligent digital agents capable of autonomous decision-making, dynamic workflow optimization, and complex task execution. These capabilities enable providers to recover revenue faster, reduce operational friction, and adapt to payer behavior in real time.

FinThrive’s differentiated approach leverages broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends to support optimized execution.

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In addition to Agentic AI, FinThrive incorporates AI Machine Learning, Generative AI and RPA across its platform to optimize the revenue cycle from cash flow forecasting to prior authorization determination to expediting contract loading.  FinThrive’s cloud infrastructure and data lake allow for a broad array of use cases to be delivered and enhance existing RCM solutions.

FinThrive leverages a broad integration across revenue cycle workflows, scalable payer connections, and a real-time data fabric layer that continuously analyzes trends for optimized execution. This differentiated approach ensures agentic AI delivers not just automation, but intelligent, enterprise-wide transformation across revenue operations.

Agentic AI delivers significant advantages across the revenue cycle by enabling intelligent, autonomous operations. It allows digital agents to prioritize accounts, flag incomplete documentation, and apply real-time coding corrections. Complex tasks like payer rule adjustments, eligibility checks, and prior authorization determinations are streamlined through end-to-end automation. The system continuously learns by monitoring payer behavior, integrating feedback loops, and refining execution strategies dynamically – this reduces manual workloads, boosts staff productivity, and enables teams to focus on higher-value activities. At the same time, Agentic AI strengthens compliance by ensuring all documentation and AI-generated content align with regulatory standards.

SOURCE: PRNewswire

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