Healthcare executives have big plans for technology in their revenue cycle management operations. 

Many gen AI end users are finding that large language models (LLMs) defy easy infrastructure setup and affordable management costs. One budding option may be to go with small language models (SMLs) instead. 

Just by taking notes during patient visits, generative AI could save a five-physician primary care practice $291,200 in one year. The practice would see a return on its AI investment of 94.13% and reach the breakeven point in a bit more than six months. 

A new survey shows that, in the generative AI era, two of every three U.S. hospitals let the CIO’s office handle the selection and acquisition of data analytics platforms.

Cardio-rheumatology clinics use a heart team-like approach to enhance care for patients with chronic conditions such as lupus, psoriasis and rheumatoid arthritis. "It's not just about cardiology," the director of one clinic explains. "We work closely with rheumatologists, dermatologists and even primary care physicians to provide comprehensive care."

A lot of people from a lot of organizations in a lot of countries are working to coordinate oversight of AI’s risks. A budding project seeks to bring many of these minds together to advance the worthy goal of building global consensus with scientific rigor.

AI and patient care are “top of mind” for healthcare executives in 2024. The pairing seems opportune, since the surveyed leaders see the burgeoning technology as a key tool for improving the perennial mission.

Regulators emphasized that these devices should not be used due to significant safety risks.