Mike Miliard

Dr. Yaa Kumah-Crystal of VUMC previews her HIMSS24 panel session, where she'll spotlight some of the most promising AI use cases. "We must be thoughtful about the implications during this exploratory phase."

The goals of the partnership include "reducing radiologists' burnout, streamlining workflow, and ultimately improving the quality of patient care," says Rad AI's CEO.

Nearly $950,000 in new funding will help the Pennsylvania health system expand the 24/7 virtual care center it launched this past year, with new technologies for Geisinger Medical Center and Geisinger Shamokin Area Community Hospital.

The projects mark a "significant step in VUMC’s exploration of AI’s potential in streamlining clinician workflows and enhancing medical record-keeping while reducing time spent on documentation," said the health system's CMIO.

The application, known as iStar, was created by Perelman School of Medicine researchers to give clinicians more insights into gene activities in medical images and, potentially, help them diagnose cancers that might have otherwise been undetected.

The hospital "failed to handle its patients’ health information with care," said Attorney General Letitia James. It has pledged to update its policies on third-party tools, ensure deletion of PHI gathered by those tools and boost its privacy safeguards.

A randomized clinical vignette survey across more than a dozen states, with hospitalists, NPs and PAs taking part, evaluated systematically biased algorithms and how clinicians make decisions with image-based AI guides.

Leaders from Providence, Humana and VMware offered varied perspectives on their artificial intelligence journeys at the HIMSS AI in Healthcare Forum on Friday.

At the HIMSS AI in Healthcare Forum, physician and author Dr. Harvey Castro explored the implications as artificial intelligence expands and increasingly augments clinical decision-making. Providers need to be key players in AI development, he said.

Boston Children’s, CVS, Geisinger, UC San Diego and Wellspan are among the 28 providers and payers promising their AI and machine learning models are geared to ensure healthcare outcomes that are "Fair, Appropriate, Valid, Effective and Safe."