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See How AI Agents Are Replacing Manual RCM Workflows
The HFMA Texas Chapter unites healthcare finance leaders from across the Gulf Coast, Lone Star, and South Texas regions to share best practices, foster collaboration, and advance financial excellence in healthcare. Through year-round education, networking, and its signature Texas State Annual Conference, the chapter equips members with the insights and connections to navigate today’s evolving healthcare landscape.
Join Stuart Newsome, VP of RCM Insights at Infinx, for this virtual session to uncover how AI agents are transforming revenue cycle management by thinking, reasoning, and acting in context to replace outdated manual workflows.
FEATURED SESSION
The Anatomy of AI Agents – What They Are, How They Work, and Why They Matter
AI agents don’t come with arms, legs, or eyes—but they do have something even better: the ability to think, reason, and act. As generative AI continues to evolve, so do the capabilities of AI agents—autonomous systems that can interact with applications, extract and apply knowledge, and make decisions based on context.
In this session, Stuart Newsome, CPCO, VP of RCM Insights, Infinx, breaks down the “anatomy” of AI agents—not to teach biology, but to show how these invisible workers are transforming how healthcare organizations operate behind the scenes.
From data-grabbing fingers to decision-making brains, we’ll explore what powers these agents, how they collaborate, and why revenue cycle leaders are putting them to work across their digital ecosystems.
HOW WE HELP
Turning manual bottlenecks into intelligent, automated workflows
We equip healthcare organizations with AI agents that think, reason, and act in context. Streamlining document capture, eligibility verification, and prior authorization workflows. By eliminating manual handoffs, accelerating turnaround times, and reducing denials, our technology helps RCM, IT, and operations leaders scale efficiently while improving staff productivity and patient access.
- Eliminate manual effort with AI agents that extract data, trigger workflows, and make contextual decisions.
- Reduce denials by catching errors and gaps at the intake stage, before they impact reimbursement.
- Scale operations without adding headcount, improving turnaround times and staff capacity.
