Today’s generative AI—namely ChatGPT-4—is pretty darned good at parsing out probable diseases in difficult-to-diagnose patient cases.

A new KLAS report offers detailed insight into how physician interactions with electronic health records systems can improve turnover rates.

If healthcare AI is to flourish outside of academic research settings and industry R&D departments, it will need to win over its most difficult-to-impress audience: healthcare workers in hospitals.

A law firm hired to investigate the situation reviewed more than 300,000 pages of documents and conducted more than 250 hours of interviews. 

Prior to March and April of 2023, operating margins sat in the red for 15 consecutive months.

Many did not lose coverage because they were deemed ineligible during the redetermination process, but due to procedural reasons, such as not completing required paperwork.

The goal is to inform users on how to best utilize AI tools while also practicing caution, as many are still in their early stages of deployment and can pose risks. 

It stands to reason that the branch of healthcare most reliant on the use of language in clinical practice would embrace large language AI. But is U.S. mental healthcare on board with the notion?