3 Payer Behavior Shifts That Could Put 2027 Revenue at Risk
Download this white paper to uncover hidden revenue risks caused by changing payer rules, underpayments, and inefficient manual processes before they impact your 2027 bottom line.
What is AI in healthcare revenue cycle?
Improving revenue cycle operations ranks as a top three strategic goal for healthcare leaders. It’s one reason why hospitals and health systems are increasingly investing in AI in the revenue cycle to strengthen performance. “AI is quickly becoming foundational revenue cycle infrastructure,” one healthcare finance leader shared in response to an HFMA survey. “It’s changing…
UNC Health’s road map for AI in revenue cycle: 4 insights
Two years ago, UNC Health shifted from experiencing isolated quick wins with AI in revenue cycle toward enterprise transformation, looking for ways that AI and automation could eliminate friction points for staff and patients. The impact has been dramatic. This year, use of AI and robotic process automation to support claim appeals has increased appeals…
AI Governance for Autonomous Medical Coding: What HIM and Revenue Cycle Leaders Should Settle Before Go-Live
Download this white paper to understand how to establish the right governance, accountability, and validation processes before implementing autonomous medical coding. It provides practical steps to reduce compliance risks, ensure coding accuracy, and prepare your organization for a successful go-live.
Beyond payer mix: Personalizing the patient financial experience captures revenue cycle focus
As patients shoulder more healthcare costs, traditional billing strategies are no longer enough. Hear how healthcare leaders are rethinking revenue cycle management through personalized financial engagement, earlier outreach and more transparent, patient-centered payment experiences.
Extending Your Reach: Why Revenue Cycle Partnerships Matter Now More Than Ever
Discover how strategic revenue cycle outsourcing, powered by automation and AI, can help healthcare organizations reduce revenue loss, ease staffing pressures, accelerate collections and improve the patient financial experience.
Supporting, not substituting: How revenue cycle leaders are putting AI to work
In this roundtable discussion, healthcare revenue cycle leaders explored how AI is being used to improve efficiency, accuracy and performance across coding, authorizations, denials management and appeals.
The Hospital of the Future Part II: Technology drives a new era of healthcare
Technology is transforming healthcare by improving patient experiences, supporting clinical teams, and increasing efficiency through innovations such as AI, automation, and smart hospital rooms. However, healthcare leaders must make strategic investments that balance financial sustainability with long-term benefits, including better patient outcomes, reduced administrative burdens, and more personalized care.
Inside Intermountain’s RCM denials strategy
Intermountain Health executives have ramped up the health system’s revenue cycle management (RCM) AI and machine learning to prevent what they believe are excessive billing denials from insurers. It’s been working so far. The Salt Lake City-based health system has created an RCM strategy that relies on both machine learning and human oversight. The approach…
Patient registration errors: Preventing revenue loss before it starts
Revenue loss often begins at registration, even though it is discovered after adjudication. An outdated insurance ID or a skipped eligibility check looks minor at the front desk. Weeks later it returns as a denial, and several teams must reopen work that was supposed to be finished. For hospitals and health systems, the denial is…