Compliance audit efficiency, a new learning experience from HFMA and updates on Medicaid eligibility
Erika Grotto talks with Dawn Crump from MRO about audit efficiency. Michael Grant, HFMA’s director of learning experience, discusses updates to HFMA’s learning platform. In the news segment, Nick Hut talks with HFMA policy director Katie Gilfillan about Medicaid eligibility updates.
Revenue cycle AI demands a tougher set of questions
AI is gaining ground in the revenue cycle faster than the strategies needed to govern and deploy it, a recent study from UPMC and KLAS Research found. ‘ “Interviewed leaders said the biggest barriers to executing an AI strategy are not a lack of interest or perceived value. Instead, many organizations struggle to create the…
Hospital cyberattacks underscore growing financial and operational risks
As seen in two incidents over the past month and in a newly issued warning, cyberattacks are a relentless threat to hospitals and their communities. The South Carolina-based health system AnMed and Texas-based JPS Health experienced disruptions that included implementation of downtime procedures and patient-diversion protocols. And in recent days, the American Hospital Association highlighted…
Technology That Performs: An Outlook for Healthcare Leaders
Download this white paper to learn how healthcare organizations can use strategic technology investments, responsible AI, and real-time data insights to improve operations and navigate today's biggest challenges. Discover practical strategies to modernize systems, reduce risk, and build a stronger foundation for long-term success.
Ken Perez: Potential downsides of healthcare’s growing dependence on AI
In a recent guest essay for The New York Times, Stanford University senior Theo Baker says, “AI is everything. …. Nearly all of higher education has been overtaken by this technology.”a Healthcare is also being overtaken by AI. Hospitals and health systems are rapidly adopting AI to streamline operations and improve clinical decision-making. According to…
Frictionless payment, post-claim resolution and the move to value
HFMA Senior Editor Erika Grotto shares conversations with three sponsors from HFMA’s Annual Conference. This episode includes: * Adam Cartabiano from Knowtion Health talking about post-claim resolution and AI in the revenue cycle. * Jessica Gerow from Zelis discussing payment modernization that goes beyond ACH. * Jeffrey Palmieri and Cindy Clark from Huntington Bank share…
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.