Why hospitals and health systems are trimming vendors from their AI roster
Hospitals and health systems’ relationship with AI is getting more refined as industry executives figure out what they want and don’t want from the software. For hospital and health system executives, that means identifying when their ROI in a given AI application is good enough to keep it in use, and depending on the use,…
David Johnson: The biology of AI and its role in the survival of healthcare
There’s no denying my title for this column is absurd. AI is bloodless. It has no flesh and bone. Beneath the “skin” of large language models, predictive algorithms and other AI manifestations are endless streams of numeric codes. Unlike biological creatures that are born, reproduce and die, AI produces outputs that are inert and can…
Susan Dentzer: CMS’s new health tech initiatives hold promise but raise questions
New initiatives under the aegis of CMS — billed as “Making Health Tech Great Again” — are aimed at speeding the technological transformation of healthcare, which is now facing a deluge of products and services powered by AI. But while the agency’s efforts may spur patients’ and providers’ use of some technologies, a key question…
The accuracy imperative and the hospital of the future
The hospital of the future will rely not just on advanced technologies like AI and robotics, but on accurate, complete healthcare data that supports better clinical, financial and operational decisions. Large language models are transforming healthcare finance by helping teams identify documentation gaps, improve reimbursement accuracy, reduce waste and create a more reliable picture of patient care.
How to protect revenue in a digital-first ecosystem
As hospitals become more digitally connected and AI-enabled, revenue cycle operations must shift from reactive problem-solving to proactive prevention by embedding data integrity, automation and revenue protection directly into care workflows.
5 keys to enhancing automation, expanding capacity and improving efficiency to reduce costs
Healthcare organizations in 2026 are operating under sustained financial strain. Margins remain compressed, workforce shortages continue, payer requirements are more complex and patient financial responsibility has increased. At the same time, many revenue cycle operations still rely on fragmented systems and manual processes that limit efficiency and delay cash flow. The traditional, reactive revenue cycle…
Future success means treating revenue cycle as a strategic asset, not a support function
Healthcare finance leaders can improve liquidity and cash flow through working capital, patient collections strategy and smarter disbursements.
Predict, prevent, perform: The AI evolution of denials management
Healthcare providers continue to face escalating denial rates that erode financial performance and operational capacity. In 2025, denial rates averaged near 12%, with many organizations experiencing even higher volumes — each percentage point representing millions of dollars tied up in unresolved claims. The growing volume and complexity of denials are no longer manageable with legacy,…
A key antitrust case against providers, plus the marriage of patient experience and AI
Nick Hut and Shawn Stack discuss the latest in healthcare finance news. Erika Grotto talks with Jonathan Wiik of FinThrive about how a great patient experience and AI can go together. Also in this episode, a fond farewell to Shawn as he departs the podcast and HFMA.
Automated payment reconciliation emerges as critical gap in healthcare revenue cycle
Organizations of all sizes are actively working to improve processes through increased automation, but each market segment has its own challenges. Read this report to discover the findings.