AI

UCSF Health implemented an AI tool at the request of the bedside nurses who felt that their assignments were unbalanced,...

AI adoption in healthcare revenue cycle is accelerating, but a widening trust gap is preventing organizations from moving beyond pilots.

As technology moves into real-world use, healthcare leaders are balancing efficiency gains with oversight and trust.

AI should be implemented thoughtfully and built in a culture of trust, says this nurse leader.

Mercy's Lina Scroggins explains why health systems must design digital tools that work equally well for patients and clinicians to...

Executives say early deployments in coding, claims appeals, and post-discharge follow-up are improving revenue cycle metrics and reducing readmissions as...

California AG Rob Bonta is urging federal health officials to reconsider a proposed rule that would eliminate key transparency requirements...

As AVP of Revenue Integrity at WVU Medicine, Mythli Mukundan is ensuring every dollar is captured accurately by embedding analysts...

Executives from three leading health systems discussed how they?re using agentic AI during last month?s HealthLeaders AI NOW virtual event.

The biggest challenge for CNOs in 2026 is competing priorities, says this CNO.

To prepare for advanced automation, revenue cycle executives are stripping away complex EHR customizations and rethinking long-term vendor contracts.

Lina Scroggins is tasked by Mercy with making technology work for the patients. It's a unique role that few healthcare...