The world's seventh largest healthcare company based on revenue shares how it validates AI models as safe for approvals and denials. 

AI is continuously being used within healthcare with the aim of easing workforce burnout, but providers must be cautious on which AI to implement

Self-pay is an issue even for patients with insurance, says Seth Cohen, president of Cedar.

The Nursing and Artificial Intelligence Innovation Consortium, a national coalition, is working to guide responsible AI use. Reengineering workflows with AI should be led by nurses who use them, says Jing Wang, dean of FSU College of Nursing.

In today’s healthcare system, even patients with good insurance and strong support systems struggle to schedule appointments and get treatment approvals, while health systems face staffing shortages and operational drag. Digital Medicine Society CEO Jennifer Goldsack and Alex Flores, General Manager, Health and Life Sciences Vertical at Intel, talk about how scalable, trustworthy AI can reduce friction for patients, relieve clinicians’ burden, and improve care outcomes. 

Ashkan Afkhami of Boston Consulting Group discusses how AI agents and tech will transform healthcare, including how agentic AI will reshape the sector's workforce.

The independent health system's new technology can help physicians get better views of diagnostic images while saving time on the scanning end. The CIO explains these and other benefits.

Data integration was an integral part of the first CTO of the U.S.'s work under President Obama, and as AI has evolved, so have the changing administrations' priorities.

Providers can integrate medication adherence and positive behavior change strategies into patient care plans, says Dr. Amy Bucher, chief behavioral scientist at Lirio.

Low reimbursement, high utilization, star ratings and risk adjustment have formed a perfect storm.