AI is not driving healthcare cost inflation. It is exposing a system that has always been designed to reward it, and making that system more efficient. As long as reimbursement is tied to intensity, every technological advancement will move in the same direction: toward maximizing it.
If hospitals are going to stay ahead, revenue cycle leaders must shift from reaction to strategy. Here are some key areas of focus.
Healthcare payments are no longer about transactions. It’s about controlling the revenue cycle. And increasingly, that control is not sitting with ISOs.
Organizations that focus on execution will reduce variability, improve cash flow, and build resilience against ongoing industry pressure. They will also be better positioned to integrate future innovations as healthcare continues to evolve.
A new report from PayZen found that providers collect just 31% of patient bills on average, even as patient payments account for a growing share of health system revenue. PayZen executive Tobias Mezger outlined how providers can improve the patient financial experience through clearer pre-care payment conversations and more flexible financing options.
Hospitals who prioritize patient understanding achieve better operational outcomes. Higher surgical conversion rates, increased patient retention, and repeat engagement produce measurable performance gains.
What matters just as much — if not more — is everything around that number: how customers adopt the product, how sales actually happen, and whether the company is building something that can scale inside a complex, regulated system.
Veradigm examines key clinical trends, comorbidity profiles, and treatment trends across adolescence, reproductive years, and peri-/post-menopause. Download it today!
Since adopting Arintra’s AI platform for medical coding in 2023, Mercyhealth has seen a 5.1% rise in revenue and a 50% decline in its days in accounts receivable. The AI-powered platform automates coding, spots documentation gaps and generates claims tailored to specific payers.
VBC does not necessarily mean a reduction in all utilization. Rather, it means a rebalancing: fewer avoidable admissions, but possibly more use of home-based care, ambulatory services, and proactive outreach.
A federal judge in Texas recently ruled on medical debt reporting — here's what the ruling means for providers and for the millions of Americans who currently have or might one day have medical debt.
Hospital margins improved in June as revenue gains outpaced patient volume — but Kaufman Hall’s latest data shows that financial gaps between high- and low-performing organizations persist, with increasing expenses and bad debt threatening long-term stability.
Discover the top AI-powered EAP providers for 2026. Compare platforms like Kyan Health and Spring Health on triage speed, global reach, and clinical quality to transform workforce wellbeing.
To remain resilient amid the volatility, skilled nursing facilities need to stay on top of what’s impacting operations and consider strategic opportunities. Here are important trends to watch.
Riverside Health is reporting an increase in revenue and net margins as a result of adopting Abridge’s ambient AI technology. The tool listens to doctor-patient interactions and generates clinical notes — which not only alleviates physicians’ burnout, but also improves their documentation accuracy. The Virginia-based health system saw a 14% increase in HCC diagnoses documented per encounter.
Finding the best analytics tools for health care revenue management can revolutionize operational processes. Compare the leading software options to discover helpful team resources.
For community hospitals, it’s a sign of the need for a different approach to patient financial communication and payment — one that meets patients where they are and protects their dignity while avoiding undue stress on the organization’s bottom line.
While AI has the potential to streamline processes, its current use in the revenue cycle is resulting in more claim denials, payment delays, and a greater need for appeals, particularly because payers often use AI to retroactively review medical necessity determinations.